Maintainer: the tool will never run against the test cases it is trained with;
its purpose is a repo safety net. Repository-grouped folds, repository-agnostic
features, BLOCK/ADVISORY operating points for changed code, out-of-repo
calibration, adaptation kept separate.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Maintainer direction: A/B testing to extrapolate detection instead of hard-coding
it, and a trained decision engine. Instruments become signal producers; labels
from ground truth with provenance; a simple calibrated engine with population
folds; experiments as plane Runs; extrapolation with intervals, checked once on
frozen v3; the engine is what scan/pre-push/plane report.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Quick mode had no PHP rules, so a PHP quick scan read the files and reported a plausible zero.
ruleset/php/rules.toml adds 13 line/statement rules built on semantic/php.toml's sinks, sources and
sanitizers (sql/wpdb, command, code_eval, unserialize, echo, file_inclusion, filesystem,
outbound_request, redirect). 9 are enabled and 4 are shadow (sql-call-composition, code-eval,
unserialize, xss-echo-input). A rule is shadow when it fired on the corpus but never at a known site.
precision_estimate is the measured lower bound.
Measured in-sample on the development corpus only (pmpro introduce/repair/benign, population-v1 PHP
cases; population-v2 was not read). Known site hit on the vulnerable pin in 4 of 5 cases (LearnPress
missed). The hit disappears on the fixed pin for pmpro and YesWiki. Numbers, per-pin files/bytes read
and the engine comparison are in benchmarks/measurements/2026-09-30-php-quick-rules/.
- fixtures php-vulnerable / php-benign plus manifests: ousast benchmark covers PHP
(9/14 reported, 13/14 including shadow; the benign twin records 2 known false alerts)
- PHP `#` comments are comments; `#[...]` attributes are not
- the alerts task now reports PHP as quick coverage; alerts-engine keeps running the engine for PHP
next to the quick rules (ENGINE_ALONGSIDE_QUICK)
- other languages' benchmark findings and metrics are unchanged
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Quick mode has rules only for c/cpp, groovy, java, javascript/typescript and
python, so every PHP case's "0 alerts" read as clean. The `alerts` task now
records per language of the files read whether quick mode covers it
(derived from the bundled ruleset, not a list): coverage quick | none, with
file counts per pin, and `uncovered`. `remember` turns that into `coverage`
memory rows (a new kind; the Run passes the alerts summary.json as input),
loop-measure reports coverage per language, and improve/memory.py's M1/M2
skip a repository+pin whose coverage for the rule's language is only
`none` (counted under `coverage_none` in the proposal's excluded).
`ousast plane alerts-engine <Run.yaml> --source <frozen export>`
(plane/engine_alerts.py) does the alerts task on the host for cases whose
files include a language the engine covers but quick mode does not (PHP):
exports both pins from the case cache, runs the quick scan and the
openultrasast:dev engine container (finding_dump.py, --network none,
--memory 3g, one at a time, per-pin deadline), writes engine findings in
the alerts.jsonl row shape (rule_id engine:<family>, source engine,
in_fix_range from case.json) with a summary (files read, questions,
completed, seconds, degradations per pin), and marks the task done via
reconciler.mark_done. No result, no files read, or questions == 0 fails
loudly and leaves the run untouched. Refuses a git checkout as source.
Runner image rebuilt and re-pinned (sha256:ebb40a9a...); validation-46
regenerated (digest only). Live, recorded in
benchmarks/measurements/2026-09-30-php-engine-alerts/: froxlor 366 files,
130/130 questions per pin, 6 alerts per pin, 0 in the fix range; wp-gopay
19 files, 101/101 questions, 0 alerts. The loop: 32 run rows (coverage 8,
php=engine), 0 proposals, gate no_proposals, $0.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
README: "Configuring the HarnessX agentic plane" becomes "The agentic
plane (ax)" (ousast plane run|status|doctor|remember, per-task Model,
budget and egress, pointer to ops/ax/README.md, one tagged retirement
line); "The HarnessX self-improving cycle" becomes "The self-improving
cycle", and its MetaAgent paragraph is replaced by the memory proposer
(`ousast improve --memory`, provenance, train-on-test guard). The fusion
panel_model/decider_model lines and the [harnessx] spend caps are gone.
The README reference test now passes without its strict xfail.
docs/examples.md section 6 runs the plane; docs/threat-model.md describes
the per-task EgressPolicy, the usd/calls budgets and the start-request
credential path. RELEASE_NOTES.md gets an Unreleased entry: HarnessX
removed, the retired keys and their errors, the silent loss of the
second hunter for users who set [models] hunter, and the plane as the
agentic path.
Dated retirement notes (2026-09-30) head the requirements, design and
brief of harnessx-self-improving-rulesets, learning-harness,
three-stage-scan and openrouter-sast-harness, and follow the spec table
in steering/overview.md; history is unchanged. All tasks are checked, so
spec.json moves to implementation-complete.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Reran benchmarks/harnessx_removal_equality.py record from a git archive
export of b9afb66 (tasks 1-6 landed; same venv freeze hash as the
baseline, harnessx not importable, no API keys, empty config) and
compared it against 2026-09-30-harnessx-removal-baseline:
equal=True differences=0
All 13 output files (pairs.json, benchmark, standard scan, improve
--dry-run) are raw-byte identical to the baseline. The suite map
(suite-map.json) accounts for 29 deleted ids, 2 renamed ids and 83
added ids; each deleted or renamed id cites the design's Tests table and
commit cbadc38 or b9afb66. Every surviving test id keeps its outcome
(1740 passed, 38 skipped incl. the README xfail).
Instrument note: a first record failed test_push_hook twice because the
recording shell's PATH lacked .venv/bin (the hook execs `ousast`); the
same two tests fail at b9afb66 without it and pass with it. The
committed record has .venv/bin on PATH.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Deletes harness_ext.py and hunter_harness.py with their HarnessX-only
tests (the judge path, verify_judge.py, went in task 5). The harnessx
extra, its mypy override and its uv.lock entries are removed (uv lock
drops only packages; no remaining version changes). The conftest
fixture becomes assert_cold_import; test_gate's two never-import checks
become one allow-list (stdlib, openultrasast, yaml) over the governance
planes' module-level imports, and the skipped live-extra tolerance test
is deleted. Audit rows for the two modules are removed, stage_processors
is reworded, and the module-audit manifest is regenerated (no orphan).
test_removed_plane_references implements Req 2.4 over src, tests and
pyproject.toml: a match must carry a `retired 2026-..` tag (the spec's
own slug is not counted). The README part is a strict xfail until task 8
rewrites the README's plane sections.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The standard scan now runs run_hunter_pool, verify_findings and the
deterministic fuse_findings directly; the HarnessX hunter orchestrator,
the LLM judge dispatcher (verify_judge.py, deleted with its test) and the
LLM fusion panels are gone, and so are their extra-absent degradations.
host_under_harnessx is dropped from stage_processors.
config: [models] verifier and [fusion] panel_model/decider_model raise
RetiredConfigError naming the plane replacement (the CLI prints it and
exits 2); a [harnessx] section loads with one warning and is otherwise
ignored. harness.json keeps "verifier": null. Tests that asserted the
fallback are renamed to the behaviour they assert; the module-audit
manifest drops verify_judge. Nothing outside the two modules deleted in
task 6 imports harness_ext or hunter_harness.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
`ousast plane workspaces --validation-set ... --loop` appends the loop to a Run:
per case `alerts` (plane/tasks/alerts.py: the quick-mode scan on the vulnerable
and the fixed pin, a fixed-pin Workspace per case, alerts attributed to their
enclosing function by the repo-facts patterns, `in_fix_range` from the fix's
old-side and new-side ranges, failing on an unread tree) feeding `remember`,
then `memory-snapshot` -> `loop-measure` -> `loop-propose` -> `loop-improve`
(plane/tasks/loop.py). Every new task binds no Model and has budget
{usd: 0, calls: 0}. The snapshot is the store's rows after the train-on-test
guard, written on the host by memory.seed (a sandboxed run of it fails loudly);
propose runs M1/M2 against this repository at the commit under test; improve
runs one unchanged evolve.run_round and delivers gate.json, journal.json, the
sidecar, rule_policy.json only when accepted, and proposal_outcome rows that
the host ingests. Adoption stays a maintainer commit.
`remember` is now a Run entry per case (the image contains it), with the facts
row keyed by the image the facts were computed on (repo-facts records it in
its summary; unknown -> the row is omitted, never guessed). Alert rows carry
their own pin; improve/memory.py counts a repeated alert once.
Runner image rebuilt (+0.39 MB: only the new modules; the quick scan needs no
extra and the rulesets were already in the package), pushed, plane/ re-pinned
and regenerated (validation-46: 105 entries). Fixture test runs the whole loop
graph through the fake ax, whose new `exec` mode runs the real task modules.
Live: one loop Run over three validation-46 cases on the local ax, recorded in
benchmarks/measurements/2026-09-30-harnessx-removal-loop/ (all done, $0 new
spend, 0 proposals, gate verdict no_proposals).
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
improve/memory.py: rules M1 (enabled->shadow on repeated false alerts across
>=2 repositories, no agreed or site_match hit) and M2 (shadow->enabled on
>=2 agreed declared sites no enabled rule catches); M3 disputed families are
advisory (signals.json) and never reach the validator. The train-on-test
guard drops rows of --qualify-population, gated benchmark cases and holdout
pair repositories before any rule sees a row. run_round(proposals=...) adds
memory edits after the benchmark's through the unchanged validator and gate;
provenance (row ids, object keys and versions, counts, exclusions, index
digest) goes to memory_proposals.jsonl and the journal's evidence field;
proposal_outcome rows are written back after a non-dry run.
ousast improve --memory is opt-in; default improve output is byte-identical
to the task-1 baseline.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
plane/memory.py: the MemoryStore interface with FileStore (index.jsonl, facts by
content hash, repos/<host>__<owner>__<name>/<pin>.jsonl, idempotent ingest,
deterministic row ids, refusal below 1 GiB free naming the path) and MinioStore
(object metadata and tags, S3 Select pushdown probed once per process with a
logged local fallback, object version ids on every row read, versioning and
runs/ lifecycle helper, presigned URLs). OUSAST_MEMORY selects the backend;
MINIO_* settings come from .env; the minio SDK is the optional extra `minio`.
plane/tasks/remember.py: model-free rows (facts, verdict, unit_cost, alert)
from a case's artifacts; remember_run computes them on the host for a recorded
run without writing into it. reconciler.mark_done (477 lines total), seed
before and ingest after `ousast plane run`, `ousast plane remember <run>`.
The generator annotates each repo-facts Task with openultrasast.io/memory-key
(repo, pin, candidates digest, image digest) and the Run with its population
and split; plane/ regenerated.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Equality script (design section 3) records suite outcomes, `ousast pairs --json`,
the python-vulnerable quick benchmark, one standard scan and `improve --dry-run`
from a frozen export with the harnessx extra absent and no model reachable.
Two independent records are byte-identical (determinism.json).
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Maintainer: use MinIO features including its JSON support; a server exists.
One MemoryStore interface with FileStore (laptop, tests) and MinioStore (the
store of record for the separate Kubernetes deployment): tags for indexing,
S3 Select pushed-down queries probed with a local fallback, versioning for
proposal provenance, lifecycle for raw outputs, presigned URLs and bucket
notifications kept for the follow-on that removes the host receiver.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Maintainer amendment: no HarnessX path stays, optional or not; the plane memory
layer replaces the HarnessX evolution proposer and carries loop engineering
(Requirement 6: persistent run memory, proposals from it through the existing
validator and gate, the loop as a plane Run, provenance per proposal).
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The ai-service-plane increment met its gate on ax (plane-increment-2.json), the
condition for removing HarnessX. Requirements: an explicit fate per capability
(moved to a plane task or retired), code/packaging/tests removed, deterministic
outputs proven byte-identical against a recorded baseline, docs and specs
retold, one reviewable sequence. Brief inventory re-verified.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
A third verify pass on the 10 disputed candidates, 2-of-3 agreement (Req 6.4),
run on ax by extending the same Run: 16/20 declared sites agreed (reference 16),
$0.0205 per candidate with recorded triage (reference $0.022). Caveats recorded:
a design change on the same set; 17 vs 19 sites flagged in any pass; three
non-declared pgadmin candidates promoted.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
agree's declared_sites_matched counts candidate coverage, not detection. Recounted
from agreed.json rows, plane passes flagged 17 of 20 declared sites against the
reference's 19 (budibase read and fuxa getDaqValue missed by both passes). The
earlier "detection unchanged" reading was wrong.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The design revisit after plane-increment-1.json (14/20 agreed, 19/20 in either
pass): a third verify pass on the candidates passes a and b dispute, and agree
decides 2-of-3 where pass c asked (the a/b rule elsewhere; c alone never decides).
- verify: optional OUSAST_INPUT_ONLY restricts the hunt to the named candidates
(agree's disputed.json); an empty list is done with 0 units and no model client.
- agree: optional OUSAST_INPUT_PASS_C; metrics keep every key and add tiebreak
{asked, flipped_to_agreed, flipped_to_rejected, rule}; usd_total, hunts and
declared-site metrics are on the final decision.
- generate: per case <case>-vc and <case>-final appended to validation-46; the
first 60 entries stay byte-identical, so a rerun keeps their done state.
- Offline replay over the recorded outputs with an empty pass c reproduces the
recorded agree summaries exactly (14/20 agreed, 23 agreed, 10 disputed).
- Spec: Requirement 6.4, design Measurement, task 8.1.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
validation-46 ran done on google/ax: 60 tasks, 357 DeepSeek calls, $0.83 with
recorded triage ($0.0194 per candidate, reference $0.022: cost met). Declared
sites agreed 14/20 against the reference's 16/20: recall criterion not met.
Both runs find 19/20 sites in at least one pass; the two-pass agreement
flicker moved three sites. Design revisit before task 9.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
ax names a task's ActorTemplate <task>-tmpl-<8 hex> and Substrate caps names at
63 bytes; validation-46's first task (51 characters) fell back to a missing
default template on the live cluster. Task names are capped at 49 with a
stable hash suffix when longer.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
A producer's artifact rendered as spec.files of a generated <task>-inputs
Workspace ends up in ax's AX_WORKSPACES_YAML env value; Agent Substrate
rejects values over 32768 characters, so a 182 KB facts.json broke ax apply
on the live cluster. The reconciler now passes OUSAST_INPUTS instead, the
receiver serves a running task its declared inputs over GET /inputs/..., and
the runner fetches them after the start (failed fetch -> failed summary).
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
On the live cluster the case clone ran at boot: the golden boot had no egress
policy, and the real actor was still being restored, so both TLS handshakes to
GitHub were cut. After the start the actor is RUNNING under its policy (the
delivery the same minute went through). Adds the one-case check Run (a subset
of validation-46) and re-pins the task manifests to the current runner digest.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The end-to-end smoke Run finished done on the local ax: submit, egress policy,
resume, router start, repo-facts in gVisor, artifacts delivered through the
egress gateway, attribution table printed, task and policy cleaned up.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Agent Substrate's egress gateway denies an actor without an EgressPolicy, so
no task could deliver its artifacts or reach a model. egress.py grants each
task exactly: http/80 to ousast-receiver.ax-system.svc.cluster.local, and
TLS passthrough/443 to the bound Workspaces' https Git hosts and the bound
Model's openultrasast.io/egress-hosts (api.deepseek.com for deepseek-flash).
No IPs, no wildcards, no https (MITM) rules.
The reconciler writes the policy with kubectl-ate between ax apply and
resume, reads it back, waits OUSAST_EGRESS_SETTLE (11 s, the gateway's
cached deny), and after ax delete task confirms the policy went with its
actor (kubectl-ate has no delete verb; the store cascades).
The receiver is a selector-less Service (ops/ax/receiver-service.yaml.tmpl,
applied by up.sh together with the no-build agentgateway egress gateway)
on port 18090 of the host. Measured live: the gateway checks the policy on
Host but connects to the address the actor dialled, so the runner dials the
Service's ClusterIP (OUSAST_ARTIFACT_DIAL) with the receiver's name as Host.
The runner now labels its delivery with the Run's task name (OUSAST_TASK),
which is what the receiver accepts; the ax Task name was refused with 403.
The Receiver moved to egress.py to keep reconciler.py at 460 lines.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
On the live cluster ax created the Task before its Workspace in the same apply
and the runner saw an empty AX_WORKSPACES_YAML. Tests now find rendered
documents by kind and name, not position. ops/ax/smoke-run.sh renders a
model-free repo-facts Run with the current runner digest and executes it
through the reconciler.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
agree matched declared sites through benchmarks/independent/evaluate.py,
which the runner image does not carry, so site matching would have been
"not assessed". The generator now resolves the fix's old-side ranges
(evaluate.hunks, line for line) into case.json, with the declared sites in
the set and the reference's cost, and agree.matches_declared reproduces
matches_v2; a parity test runs both over the recorded outputs of the 15
validation cases (200 probes, identical verdicts) and agree on those outputs
returns the reference's 16 of 20 and $0.022.
agree reports cost_per_candidate (plane spend) and
cost_per_candidate_with_recorded_triage; Requirement 6.2 is judged on the
latter (design.md). --runner-image re-pins the templates from ops/ax/up.sh's
pin file; the committed manifests are regenerated at the current digest.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Agent Substrate's golden-snapshot boot runs the same image with the same task env,
so the runner no longer starts its command by itself: after the workspaces are
ready it waits for POST /ousast/v1/start (run/task checked, once per boot, refused
after a delivered run). The reconciler sends it through svc/atenet-router with
ate-target-actor, which never addresses the golden actor (plane/router.py), and the
bound Model's secretKey variable travels only in that body, into the child's env.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The live cluster ran the task command twice: in the actor and in Substrate's
golden-snapshot boot, which gets the same image and task env. Requirement 4.5
gates the command on a router-addressed start request; 4.6 carries provider
credentials only in that request.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
On the live cluster ax hands AX_TASK_YAML with metadata.creationTimestamp and a
status block; the strict authoring schema rejected it, readiness never turned
green and every resume timed out. Other unknown fields still fail. up.sh retries
the first resume while the golden snapshot builds.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The first live run on the local ax cluster and ax's source (docs/runner.md,
docs/sandbox.md, internal/controller/reconciler.go, internal/server/server.go)
showed a lifecycle the task-3/4 code did not model:
- `ax apply` creates a Task Suspended (Ready=False, TaskSuspended); it runs only
after `ax resume task`. The first resume of a new image can fail with
DeadlineExceeded while Agent Substrate builds the golden snapshot, and ax's
server then stores phase Failed; a later resume succeeds.
- ax has no Completed phase and never reads a command's exit back.
- The runner is PID 1 and must keep serving after the command exits; stop and
suspend deliver SIGTERM, to be forwarded to the command's process group.
Our runner imported the task in-process and exited, which stopped the
container ("Container guest is stopped") and made every resume time out.
- ax's controller probes /readyz?check=workspace; the query string made our
handler answer 404.
Runner (Req 4.1-4.4): spec.command runs as a child
`python -m openultrasast.plane.tasks.<name>` in its own process group, cwd the
first workspace, AX_METADATA_URL set; ax's metadata paths are served. After the
child exits the runner reads summary.json (a crash without one becomes failed
with the exit code and stderr tail), delivers the output directory, writes
/workspace/.ousast-state/<task>.done.json and serves until SIGTERM (forwarded
to the group, SIGKILL after OUSAST_TERM_GRACE, exit 0). A boot with the marker
never reruns the command; a failed delivery is retried alone. Workspaces are
prepared on the first boot only. AX_RUNNER_EXIT_AFTER_COMMAND=1 is the
unit-test escape.
Reconciler (Req 2.2, 2.3, 3.1-3.3): `ax resume task` after apply, retrying
DeadlineExceeded/Unavailable with backoff up to OUSAST_RESUME_TIMEOUT (900 s);
completion is the artifact delivery; Failed after a resume went through, a
vanished task, or no delivery within OUSAST_TASK_TIMEOUT (7200 s) fail the
task with ax's condition message; `ax delete task` follows. Ax gains resume()
and phase() returns the condition message. doctor moves to plane/doctor.py
(tasks.md task 0 allows the sibling) to keep reconciler.py under 500 lines.
Tests: the fake ax follows the real lifecycle (Suspended, a failing first
resume that leaves Failed, Running forever, delivery only after a resume went
through), plus Failed-with-message, vanish, resume-timeout and task-timeout
scenarios; runner tests cover the child's cwd/group/metadata URL, stay-up and
SIGTERM in a real subprocess, SIGKILL of a SIGTERM-ignoring group, and the
marker. The opt-in live test now checks resume, Running, suspend and a second
resume instead of a Completed phase. design.md and tasks.md state the
lifecycle; the module audit manifest counts plane.doctor.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Model deepseek-flash (declared provider extension, endpoint prices in
parameters, secretKey naming the DEEPSEEK_API_KEY secret), digest-pinned
Task templates repo-facts / verify / agree, and a generator
(plane/generate.py, `ousast plane workspaces --validation-set ...`) that
emits per case the vulnerable-pin Workspace, a files-only inputs Workspace
(recorded candidates after the recorded triage, declared sites, triage),
per-case Tasks and one Run validation-46: facts -> verify a, verify b ->
agree for the 15 cases, 46 candidates (43 kept), budgets 1.5x the recorded
per-pass share. A Run entry cannot add a binding or env, and Run.inputs
names only task artifacts, so the case is fixed by per-case Tasks.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Substrate installs no WorkerPool (resume failed: no free workers) and rejects
images not pinned by digest; ax's default runner image on gcr.io needs
credentials, so the smoke task runs our runner (repo-facts over a one-file
workspace). A release ax CLI skewed from the server (UpdateTask unimplemented).
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Requirement 1.1 (Task/Workspace/Model use only fields ax documents) and
Requirement 1.4 (no ax field repurposed) were violated: manifests accepted
metadata.namespace and a Workspace git `commit`, and the reconciler dumped
every git field into what `ax apply` receives.
Facts from ax's source (pkg/apis/v1alpha1/ax.proto, internal/workspace/setup.go):
- ObjectMeta is `name` and `atespace` (plus server-set creation_timestamp);
no `namespace`, no `annotations`.
- GitRepo is `name`, `repo`, `branch`, `dir`, `depth`; no `commit`.
- The API server decodes with protojson.UnmarshalOptions{}: an unknown field
is an error at `ax apply` (confirmed on the live cluster: a rendered
Workspace+Model applied cleanly; the same Workspace with `commit` was
refused with `unknown field "commit"`).
- ValidateModel checks only metadata; any spec.provider string is accepted.
Changes:
- manifests: metadata takes `name`, `atespace`, `annotations` (our extension,
never sent to ax); git entries take exactly ax's five fields (depth int);
`commit` in spec.git is rejected with a pointer to the new Workspace
annotation `openultrasast.io/git-commits: "<git name>=<40-hex>,..."`,
validated for unknown git names and non-hex shas.
- reconciler: rendered docs carry only ax fields; each bound Workspace's pins
reach the Task as env OUSAST_GIT_PINS = {"<workspace>/<git name>": "<sha>"}.
A test walks every rendered doc against ax's field lists.
- runner: pins come from OUSAST_GIT_PINS; git is fetched as setup.go does
(init/remote/fetch with --depth when depth > 0/checkout FETCH_HEAD, default
branch main, cloneDestination's dir and placeholder-name rules), then the
pin is checked out. A pinned entry without a branch fetches the commit.
- workspaces: emits the annotation, `dir: repo` and `depth: 1` instead of
`commit`, so generated case workspaces keep <path>/repo at depth 1.
- design.md: ax field names verbatim; pins and model binding as stripped
openultrasast.io/* annotations carried to the task by env.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
kubectl prints the sentence as one whitespace-split row, which passed the
ready check and reported an absent ax controller as "1 pods ready". Rows must
carry a READY column; an empty namespace fails. Regression test added.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
ai-service-plane task 3, Requirements 4.1-4.4 (with 2.2 and 2.3 honoured by the
exit-code contract):
- src/openultrasast/plane/runner.py: the ax-task-runner entrypoint. Reads the Task
from AX_TASK_YAML and the bound Workspaces from AX_WORKSPACES_YAML (task-1 loaders),
serves /healthz and /readyz on port 80 (AX_RUNNER_PORT; 0 picks a free port,
AX_RUNNER_HTTP=0 disables it for unit tests), materialises each workspace at its
bound path (spec.files verbatim; spec.git at <path>/<name>, exported from the
OUSAST_CASE_CACHE checkout whose origin matches, else a shallow clone at the pin;
a repo already present on a resumed volume is kept) and only then answers 200 on
/readyz. Runs spec.command by importing openultrasast.plane.tasks.<name> with the
remaining elements as argv; sets OUSAST_WORKSPACE_DIR from the first binding when
the Task's env leaves it unset. A crash writes summary.json with status failed and
the traceback. When OUSAST_ARTIFACT_URL is set, the whole OUSAST_OUTPUT_DIR is
POSTed as an uncompressed tar (Content-Type application/x-tar, X-Ousast-Task,
X-Ousast-Run) with three attempts and backoff; a failed delivery rewrites
summary.json to failed and exits 2. Exit codes: done 0, failed 2, unfinished 3.
- plane/Dockerfile.runner: python:3.12-slim + git, `pip install .` (no extras), a
shell wrapper at /usr/local/bin/ax-task-runner exec'ing the module; built and
loaded into kind by ops/ax/up.sh, not by the tests.
- tests/test_plane_runner.py (+ tests/plane_stub_task.py registered as the task
module): env contract on a files workspace, readyz 503 then 200, delivery to a
local receiver with the headers and tar checked, delivery failure -> failed and
exit 2 after three attempts, crash -> failed with traceback, exit codes per
status, case-cache export at the pin, shallow-clone fallback, resume keeps the
checkout.
- model/audit.py: SPEC_OWNED row for plane.runner; module-audit measurement
regenerated (122 modules, no orphans, note kept).
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Requirements 3.1, 3.2, 3.3, 3.4, 3.5, 2.2, 7.1, 7.3 of ai-service-plane.
- plane/reconciler.py (492 lines, test-counted): a Run's tasks submitted to ax
in dependency order through the injectable `ax` CLI (apply / get task /
delete task), serialize labels never overlapping, --workers, state.json with
pending|running|suspended|done|failed|unfinished, a PID lock per run, done
tasks skipped on rerun, unfinished tasks holding their dependants, a failed
task halting the run. Budgets, inputs, output dir, artifact URL and the bound
Model (annotation openultrasast.io/model; identity and priced parameters) go
to the task as env in the rendered Task; consumed artifacts travel as files
of a generated Workspace bound under /workspace. A threaded HTTP receiver
takes each task's tar delivery, validating run/task and rejecting traversal.
Outcome comes from the delivered summary.json (done only when every unit
finished), never from ax's phase alone. status prints the token attribution
table per task and Model from the summaries' usage fields (n/a, never an
estimate) and writes attribution.json; doctor runs the four host checks.
- plane/workspaces.py: one Workspace manifest per case pin of a population.
- CLI: ousast plane run|status|doctor|workspaces.
- tests/test_plane_reconciler.py: a fake ax executable drives the DAG;
tests/test_plane_ax_live.py (marker ax) applies ops/ax/smoke-task.yaml on a
live cluster and skips unless doctor passes.
- Module audit rows and regenerated manifest.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Requirements 5.3, 2.1, 2.2, 2.3, 7.2 of ai-service-plane.
- plane/tasks/verify.py: the batched hunt of verify_batched.py moved into
the package (system prompt, one hunt per file, up to 6 candidates, 6
steps, candidate-anchored sites). New against the reference: each
candidate's known callers from facts.json in the prompt (capped at 8),
tool turns and usage per hunt in units.jsonl, per-unit resume (rows
with "error" are re-asked), pass label from env, MeteredClient wrapper:
BudgetExhausted -> unfinished (exit 3), AccountError -> failed with the
provider message (exit 2); summary.json is written last, names the bound
Model and the summed usage, and is done only when every unit finished.
- plane/tasks/agree.py: verify_batched.agreement over two pass outputs,
agreed.json / disputed.json, per-candidate cost and turns, declared-site
match via benchmarks/independent/evaluate.matches_v2 loaded by file;
metrics block in summary.json; no model calls.
- tests/test_plane_verify.py: a scripted usage-recording hunter client;
callers line, resume, 402, budget stop and resume, model and summed
usage, unpriced usd None, both main() env contracts, agreement metrics.
- model/audit.py + module-audit manifest: SPEC_OWNED rows for plane.tasks,
plane.tasks.verify, plane.tasks.agree; manifest regenerated.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
plane/tasks/repo_facts.py computes, from source text only and without a
model or git, the product files of a workspace (tests, vendored trees,
node_modules, dist/build, minified bundles and dot-directories excluded via
the layout facts plus the model_sinks.py filter), the functions each file
declares (Python, PHP, JavaScript/TypeScript, Java, Go, Ruby declaration
patterns extended from sink_candidates.py) and, per candidate function, the
call sites in other product files with path, 1-based line and enclosing
function, capped at 40 and sorted (Requirement 5.1). Output is byte-identical
across runs over the same tree (Requirement 5.2).
Under the task contract the unit is one file: a row goes to units.jsonl as
each file finishes and a restart reuses the rows computed for the same
candidate set (Requirement 2.2); facts.json is assembled from the rows and
summary.json is written last, refusing `done` unless every unit finished.
The entrypoint reads OUSAST_WORKSPACE_DIR, OUSAST_OUTPUT_DIR and optional
OUSAST_INPUT_CANDIDATES only (Requirement 2.1) and exits 0 on done, 2 on
failed with the traceback recorded in summary.json.
tests/test_plane_repo_facts.py: a three-file tree with a tests/ file, a
vendored file, a node_modules bundle and a dot-directory; cross-file callers
with line and enclosing function, same-file and declaration lines excluded,
the 40 cap, byte-identical second run, resume that recomputes only the
missing unit, a crash that leaves `failed` with the unit counts and resumes
to `done`, and the declaration patterns per language.
The two new modules are registered as spec-owned in the module audit (their
importer, the runner, lands in task 3) and the audit manifest is regenerated.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
kind cluster + registry, Agent Substrate, ax control plane via ko, one files-only
smoke Task; helpers run from their own checkout because they resolve paths from
the git toplevel. Footprint and README follow once the cluster is up.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Add openultrasast.plane.manifests: frozen dataclasses and loaders for ax's
Task, Workspace and Model kinds (ax.io/v1alpha1, ax's fields only) and the
Run kind (openultrasast.io/v1alpha1: tasks, dependsOn, inputs, outputs,
budget, serialize). Every violation raises ManifestError naming the kind,
metadata.name and field path: unknown fields at any depth, wrong apiVersion
or kind, a provider outside google/anthropic unless deepseek is declared via
the openultrasast.io/provider-extension annotation, a Run with a dependency
cycle, an input naming no task, and a Run task naming no loaded Task.
load_manifests reads multi-document YAML files and indexes by kind and name.
PyYAML becomes the one declared core dependency; the two zero-dependency
guards now pin exactly that, and the module audit registers the plane
package under the ai-service-plane spec.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Maintainer decisions 2026-09-29: ax (kind + Agent Substrate + ax controller on
this host) is the only executor; the Run layer carries dependencies, artifacts,
budgets and attribution until ax has them. Requirement 7 declares routing per
Task (one Model per Task, no runtime switching) and a token attribution table
from provider usage fields. Task 0 (bring-up, doctor), runner artifact delivery,
ax-backed reconciler with a fake-ax test seam. harnessx-removal brief records
the HarnessX inventory; removal is gated on the increment's measurement.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
MeteredClient wraps a ChatClient, sums the provider's usage rows per call,
prices them from a Model manifest's parameters (cache-hit, input, output per
million), and raises BudgetExhausted before a call once the usd or calls
ceiling is reached. A 401/402 or "Insufficient Balance" failure becomes
AccountError with the provider's message. An unpriced model reports usd None,
never zero, and refuses a usd budget; summary() gives the spend block of a
task's summary.json.
The two plane modules are registered as spec-owned in the module audit (their
consumers land in tasks 3-4) and the audit manifest is regenerated.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Nine tasks in dependency order: manifests, budget metering, runner contract,
reconciler and CLI, repo-facts, verify and agree, the increment's manifests, the
measurement against the recorded batched check, handover.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Package src/openultrasast/plane/: manifests (ax kinds + Run), a reconciler under
500 lines with persisted status and resume, an ax-contract runner, budget metering,
and task entrypoints. First increment: repo-facts (source-only callers, no model),
verify (the batched hunt with callers in the prompt, per-unit resume), agree.
Measurement on the 46-candidate set against the recorded batched check.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Six requirements from the brief: ax kinds plus a Run kind; isolated, idempotent,
resumable tasks with metered budgets; a local reconciler under 500 lines with no
pipeline logic; ax's runner contract; repo-facts as the memory layer; and a
measured first increment (repo-facts + verify on the 46-candidate set: at least 16
of 20 declared sites, under $0.022 per candidate for two passes).
Phase: requirements, not yet approved.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Measured on the main session: 90% of development tokens were tool I/O. Three
tools from the Portal pattern:
- read_guard.py: PreToolUse hook that denies a whole-file Read over 350 lines and
points to a ranged read or the bulk reader (pipe-tested: deny, range, small).
- bulk_read.py: answers a question about files with the cheap chat model, citing
path:line, under a spend ceiling.
- token_report.py: where a session's tokens go, from its transcript.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Adopt the design of google/ax (Task / Workspace / Model manifests, a reconciler,
isolated resumable execution, a runner contract), not yet its software: it needs
Kubernetes and Agent Substrate, lists only Google and Anthropic providers, and has
no pipelines, artifacts or budgets. We add a thin Run layer for those.
Each pipeline concern (classify, triage, repo-facts, verify, judge, recheck, score)
becomes a declared task with its own inputs, outputs and budget. That bounds the
tokens per task and lets each be developed alone. Decisions listed for the
maintainer.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Exploratory, 7 of 17 cases, stopped when the account emptied:
- source-only scope: a model reading every product file puts the vulnerable
function among the candidates in 15/17 (ranker 1/17, vocabulary 2/17);
- per-file triage + per-file 6-step hunts + two-pass agreement: 12/15 candidate
cases on the validation set; 4/7 on the full run, two more in one pass of two;
- precision: 5 pgAdmin agreed findings read against source, 3 true (privileged),
2 false with self-contradicting rationales; agreement cannot catch an error
both passes make;
- cost: $0.009-0.022 per candidate for two passes.
Four instrument defects fixed on the way (model id, provider routing, JSON-mode
final turn, unbounded tool output) void the earlier hunter number. No gate is
met; qualification needs population v3 and a protocol that states the judge
stage, the pass rule and a config-family question.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
- verify_batched.py --fixed asks the agreed candidates again at the fixed pin
(no triage); a function the fix removed is recorded as removed.
- score_batched.py applies protocol v2's matching to the batched output
(vulnerable pin, and the fixed pin where rechecked) and draws the precision
sample.
- A finding's site is anchored to the candidate operation asked about; the
model's own reported location is kept in `reported_at`. ReactPress's confirmed
findAll was reported at the controller file and failed to match its declared
site. The scorer anchors older records the same way.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
verify_batched.py replaces the per-candidate verifier's design:
- triage per file (no tools): where does the operation's data originate;
internal/constant candidates are not verified;
- one 6-step hunt per file for up to 6 candidates, a verdict per operation;
- two independent passes; only agreement is reported, the rest is "disputed".
On the 46-candidate validation set ($1.01):
- declared sites: 16 of 20 agreed, 12 of 15 cases (the per-candidate design
confirmed 11). Budibase and Froxlor are new; Unleash dropped to one pass of two.
winml is triaged out as "constant": a CORS literal, which the reachability
question does not fit.
- the 26 pgAdmin candidates that flickered between single runs: 2 triaged out,
9 agreed in both passes, 4 disputed, 13 quiet.
- $0.022 per candidate for two passes vs $0.033 under the old design; on a file
with several candidates, 2.3x cheaper per pass.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Declared vulnerable sites: 11 of the 15 that were candidates are confirmed (8 at 3
steps, 3 more at 6). Missed: winml (a CORS config; the reachability question does
not fit), FUXA, Budibase, Froxlor.
Restart-based escalation is strictly worse than a straight 6-step budget: 88% of
pgAdmin candidates used every step, so they paid 3 + 6 ($0.0201 per candidate vs
$0.0139 baseline). Defaults are now 6 steps, no escalation. The cache order change
did not lower the per-call cost ($0.002): the conversation prefix was already
cached; 56% of prompt tokens are served from cache.
The larger finding: on 180 pgAdmin candidates verified twice, 15 and 13 were
flagged with only 2 in common. Verdicts on borderline candidates flip run to run,
while the declared sites were found consistently. Precision needs agreement
across runs or a second judgement, not a single pass.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
--declared-sites-only, --candidates-from <jsonl> and --results-suffix, so the
efficiency change can be validated on the 180 already-verified pgAdmin candidates
and the 15 declared sites without touching the main results.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Token efficiency, measured on 180 verified pgAdmin candidates: stage 2 costs
$0.0139 per candidate, 90% of the spend, because the conversation is re-sent on
every turn and grows with each tool result.
- Context files now precede the question in the hunter's first message. DeepSeek
bills a cached prefix at 1/30 of a fresh one, by prefix; with the question first,
every candidate asked about the same file (about 5 per file) broke the prefix on
its first line and paid for the file again. A test pins the order.
- The verifier runs each candidate at 3 steps and repeats it once at 6 only when
the hunt spent every step on tool calls without a verdict. On the seven declared
v2 sites, 3 steps found 5 and 8 steps found 6; most candidates conclude in 3.
- Per-candidate token usage (prompt, cached, completion, calls) and escalation
are recorded, and each case reports its cache share, so the next efficiency
decision is made on numbers.
Validation on the 180 pgAdmin candidates plus the 22 known sites (about $1)
waits for account credit: DeepSeek returns 402 at the moment.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The rerun hit DeepSeek HTTP 402 ("Insufficient Balance") after 180 pgAdmin
candidates. Every later call failed at $0, and the runner wrote sixteen cases as
complete with nothing asked, because an unverified candidate counted toward
completion. That is a clean-looking zero from an instrument that could not call
the model.
Now:
- 401/402 or "Insufficient Balance" stops the run at once, exit 2, nothing
recorded;
- only verified candidates count as done, so unverified ones are asked again on
resume;
- a case is complete only when every candidate was verified.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
FUXA failed every hunt with HTTP 400, and neither run could say why. The client
discarded the response body. With the body shown, the reason was "This model's
maximum context length...": FUXA ships minified bundles whose single lines run to
megabytes, and grep_repo returned a matched line whole.
- grep_repo and find_refs quote a matched line (240 characters), never the whole
line.
- Every tool result is capped at 16 x max_chars, with a truncation marker.
- OpenRouterChatClient errors carry the provider's response body (first 500
characters). That would also have exposed the rejected model id in one call
instead of eighteen days.
After the fix, FUXA candidates verify normally at $0.004-0.013 each. A test covers
the megabyte-line case.
verify_sinks.py: skip futures cancelled at the spend ceiling instead of reading
them (the run crashed with CancelledError).
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The final-answer turn requested the provider's JSON mode with the tools still
attached. DeepSeek (deepseek-flash) then answered with the format itself
(`{"type": "json_object"}`), wrapped the array (`{"type": "json_object",
"value": [...]}`), or emitted its tool-call markup as text. A hunt that had found
the vulnerability reported nothing.
Measured on the v2 sink verifier with the declared vulnerable functions: 0 of 7
confirmed in JSON mode, 5 of 7 asked plainly (6 of 7 at 8 steps). The model named
Medplum's actual redirect-URI prefix-match bug, LMDeploy's redirect bypass of
_is_safe_url, and ContextForge's unsandboxed Jinja2.
The final turn is now plain text without tools. The parser also reads a
`{"value": [...]}` wrapper. Two tests that pinned JSON mode now pin the plain
turn, and a new test reproduces the wrapped answer.
Invalidates as measurements: the hunter experiment on v2 (c4a0bd8) and the first
sink-verifier run. Both used this turn.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Each grep_repo and find_refs call re-enumerated the tree (walk, ignore rules,
vendored checks) and re-read every file. The v2 sink verifier spent almost three
hours on its first case (pgAdmin, about 1,800 files) at 108% CPU with one open
connection. It was CPU-bound in these tools, not waiting on the model.
Source lines are now memoised per root, keyed by path and modification time. A hit
is re-validated file by file, because an edit inside a subdirectory does not touch
the root's mtime; a test covers one enumeration and a detected edit.
verify_sinks.py now runs candidates in worker processes, not threads, and appends
each candidate's result to a per-case log, so a stopped run resumes where it left
off. GoPay: 12 candidates in 14 s, the real site found.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Per candidate function, one bounded tool-hunter pass (custom prompt, the file as
context, 3 steps) asks whether attacker-controlled data reaches the operation
without a sufficient guard. It reports only with a stated source-to-sink path.
Hard spend ceiling, parallel workers; one run per pin; the fixed pin is rechecked
only for detected sites. Exploratory on v2.
Pilot: on GoPay, the one real site was reported in 3 of 4 runs and nothing else
out of 12 candidates.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Source-only selection on the v2 vulnerable pins, compared on the same cases:
- ranker top-20 entry points: the vulnerable file was in scope in 1/17;
- shipped-vocabulary sink-first: the declared site was a candidate in 2/17;
- model-classified sinks (deepseek-flash, no vocabulary): the declared site was a
candidate in 15/17, and a fix or site file in 16/17. Every chunk was classified;
$14.42.
Misses: User Registration (file in scope, not the function) and Sulu (JCR-SQL2
query builder). The cost of this reach is volume: 3-1037 candidate functions per
repository, 4,762 in total. The next stage must decide which candidates are fed by
attacker data without a guard. v2 is spent for tuning; this qualifies nothing.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
This asks DeepSeek, per product source file (in chunks of 400 numbered lines),
which functions perform the family's dangerous operation on non-constant data. It
is scored like sink_candidates.py: is the declared vulnerable function among the
candidates? A failed chunk counts as unclassified, never as "no sinks". The spend
ceiling is enforced across worker threads.
Pilot: GoPay found its declared site for $0.03. Estimated full v2 run: ~$14-18.
The maintainer raised the ceiling to $20.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
This is a source-only diagnostic: no engine and no model. At each v2 vulnerable
pin, every call matching the family's shipped sink vocabulary becomes a candidate,
attributed to its enclosing function.
- The declared vulnerable function is a candidate in 2/17 cases (Medplum, GoPay);
the ranker's top 20 managed 1/17.
- A fix-changed or site file is among the candidates in 8/17.
- Candidates per repository range from 2 to 904 functions.
The misses are vocabulary, not direction. Examples: wp_redirect, download_url,
spawn(shell:true), ky(), requests.Session().get, sympy parse_expr, Jinja
from_string().render, Mongo collection.find, JCR-SQL2 createQuery, TypeORM
andWhere template strings, and CORSMiddleware(allow_origins=["*"]) are not named.
v2 is spent for tuning, so this informs design and qualifies nothing.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The run follows hunter-protocol-v2.md: deepseek-flash, the ranker's top 20
regions per pin, protocol v2 scoring, $8.88 spent.
- Recall: 1/17 (Wilson 0.01-0.27).
- Precision: 2/14 sampled (both true positives need a privileged role, one of
them GoPay's CVE).
- Fixed-side alerts: 1. Benign alerts: 16.
- Stability: 73% of findings differ between two identical runs.
The deciding observation: the ranker's top 20 contained the vulnerable file in 1
of 17 cases, and in that case (GoPay) the hunter detected it. With 4 tool steps
per hunt it cannot search its way to code it is not handed. The result therefore
says less about the model than about scope selection, which sits upstream of the
engine too.
Instrument failures, reported as failures: every FUXA pin and three Directorist
pins (DeepSeek HTTP 400 on every hunt; neither offered a region of its family).
Scorer fix: protocol v2 defines benign alerts and the precision pool over the
CASE FAMILY, but score_v2 pooled every family. The engine's dump emits only the
case family, so its recorded result (21adc40) is unchanged by this; rescoring
reproduces 3 benign alerts and 49 pooled findings.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
This is the deciding experiment of the strategy review, fixed before any v2 pin is
hunted.
- Hunter: the unchanged tool hunter (default prompt, tools and 4 steps) on
deepseek-flash.
- Scope: the ranker's top 20 regions for the case family, in four hunts. The model
never sees the fix diff or the declared sites.
- Families: a fixed keyword table maps the model's family to the protocol's three.
- Scoring: exactly protocol v2's scorer.
- Cost: a hard $10 ceiling.
hunt.py runs it and scores it (--score). A pilot on a v1 development case
(mongo-express) found the vulnerability at lib/bson.js:60, at $0.031 per pin,
alongside a lot of speculative noise.
Transport fix found by the pilot: the DeepSeek endpoint the hunter builds was
unpriced, so the cost meter read $0.00 for any number of calls. It is now priced.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Every model call has failed since 2026-09-10 (83ab533):
- The default detector and judge model was `deepseek-v4.1-flash`, the product name.
The API rejects it with HTTP 400 ("The supported API model names are
deepseek-flash, deepseek-v4-pro"). The judge and pipeline record an endpoint
failure as a degradation, never a verdict, so nothing failed loudly.
- `tool_hunter.resolve_hunter_client` resolved OpenRouter only. In this project
DeepSeek is the chat provider and the OpenRouter key is scoped to embeddings, so
the hunter could not reach a chat model at all; the call came back 401.
The defaults are now `deepseek-flash` (priced). The hunter resolves DeepSeek first
when its key is set, and OpenRouter stays as the explicit or fallback route.
Verified live: plain completion and a tool call through both the endpoint resolver
and the hunter client.
Not affected: the independent evaluations (finding_dump runs with
max_model_calls=0) and the 2026-09-06 hunter measurement, which predates the id.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
v1 (1/11) and v2 (0/17 recall, 0/17 sampled precision, 12% completion) show that
fixes learned on one population do not transfer to the next. The causes are
breadth: framework-shaped entry points, module boundaries the frontends do not
resolve, name-matched sinks colliding, and scale.
Options:
- A: continue engine-first;
- B: the model proposes, the engine proves;
- C: narrow the product to one ecosystem.
Recommendation: first run the unchanged tool hunter on the v2 pins as the deciding
experiment.
For maintainer decision; no approved spec changes.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The analyzer was frozen at a75b9f6. 17 cases, 102 scans (vulnerable and fixed pins
twice each), scored exactly as pre-registered.
- Recall: 0/17 (Wilson 95% 0-0.18). No unstable detections.
- Precision: 0/17 sampled (0-0.18). Every sampled finding is false: regex
match/exec read as sinks, int casts, ORM statements, client-SDK code, the
process's own argv, a generated database name, a registered-URI check.
- Completion: 13206/108374 questions (12%).
- Fixed-side alerts: 0, trivially, since nothing was detected.
- Benign alerts: 3.
- Stability: 2 of 100 findings differ between runs.
The zero is not an instrument artefact: FUXA, GoPay, cct-studio, ReactPress, User
Registration and Directorist completed questions in the sink file itself and still
found nothing.
Instrument failures, reported as failures: LMDeploy (every taint batch failed on all
six pins) and Froxlor's two benign scans.
This record is committed before any analyzer change informed by v2.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Committed before any v2 case is scanned. It has two changes from v1, both chosen by
the maintainer from lessons of the v1 run:
- declared sites: a finding at a `path::function` the advisory names is credited,
as well as one on the fix's changed lines;
- two runs of the vulnerable and fixed pins: detection needs the finding in both
runs, a fixed-side alert in either counts, and the difference between runs is
reported as stability.
evaluate.py takes --population. v2 scans six pins per case and scores with
matches_v2 / score_v2. v1's scoring is unchanged.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The analyzer was not run. freeze.py read each case's source at both pins:
- both pins are commits in the repository and in the right order;
- the declared sink site's file is present at the vulnerable pin, and its declared
functions appear in it;
- the fix touches a declared site file (Budibase's sites reordered so the changed
file, queries.ts, comes first).
Benign controls:
- 12 are reviewed automatic proposals.
- 3 automatic proposals were rejected as not benign: qwed's merged a ReDoS fix,
ReactPress's corrected a SQL column whitelist, and Sulu's was a branch merge that
can carry the fix.
- Those three, plus cct-studio and Directorist (no automatic proposal), were chosen
by hand. Directorist's comes from before the vulnerable pin, because only 3
commits follow its fix.
freeze.py now accepts a recorded benign control instead of reporting that none was
proposed.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
v1 was evaluated and then used to retune the analyzer. A retune can only be
qualified on a population that did not inform it.
The candidates came from web research alone (research-2026-09-26.md):
- advisories were taken newest-first per language under fixed criteria, never by
how easy they look;
- 261 advisories were examined and 224 rejected, each with a reason;
- every SHA pair was verified through the GitHub API;
- no clone and no scan.
The maintainer selected the rule-based "balanced" set: 5 Python, 6 JS/TS, and 6 PHP
of which 4 are WordPress plugins; 10 injection, 6 destination and 1 config.
Each case declares the advisory's sink sites before any scan, for protocol v2.
freeze.py takes --population and writes freeze-vN.json. The reservation tests now
cover every population-v*.toml.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
This reverts commit cc885f0. It failed the acceptance bar set before the run (each
recall pin within +2 findings, completion unchanged):
- WP Statistics: 16 -> 31.
- PMPro: 16 -> 26, and completion 378/382 -> 103/382. Six prior findings were lost
to the budget; CVE line 936 survived.
- YesWiki: completion 2798 -> 1968, still not detected.
Two causes:
- Cost: wrapper confirmation runs a flow query per parameter of every sink-bearing
method, repeated at each engine start of a portioned scan.
- Precision: a helper whose parameter reaches a sink under its own escaping (for
example `getMemberOrderByPayPalToken(sanitize_text_field(...))`) is not a sink
for its caller.
Doing this properly needs summaries that carry the wrapper's internal
sanitisation, computed once per scan, not per request batch.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
This is the second attempt at the YesWiki shape: SQL run through
`$this->dbService->query($query)`, whose body is the `mysqli_query` the facts name,
through a receiver the frontend cannot type. The first attempt was reverted in
c7e3a05.
A method is now a wrapper for a parameter only when the engine's own dataflow
inside the method carries that parameter to a fact sink's argument, on a plausible
path that no cleansing or guard discharges. The guard rails:
- one level only;
- nothing under a bundled library tree (lib/, vendor/, node_modules/, ...);
- a name counts only if every project method with that name is a wrapper;
- wrappers are asked in the flow pass only, never in the evidence pass, so no
region's selection or pruning changes;
- at a wrapper call, only the confirmed argument is asked.
Three Joern-gated tests cover the direct shape (reported), a literal, an
intval-casting helper and a level-2 feeder (not reported), a harmless same-named
method, and a wrapper inside lib/. Each fails when its rule is removed.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
This reverts commit 54c9dfc. The recall-pin check (p16) showed a large precision
and completion regression, although every recall target survived:
- MW WP Form: 3 -> 60 findings. Form-field renderers became sinks.
- WP Statistics: 16 -> 40.
- PMPro: 16 -> 65, 20 of them inside bundled Braintree/Stripe code. Completion fell
to 390 of 1189 questions, because wrappers made many more regions look
sink-bearing.
- YesWiki: completion fell from 2798/2807 to 216/2807.
The structural summary was too loose. Any identifier in a sink argument counted as
fed by a parameter if any assignment anywhere in the method mentioned it, with no
order or dominance. It also ignored vendored library code and cascaded three
levels by name. A redesign needs dataflow-confirmed, level-limited summaries that
leave the question count alone.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
