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Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
110 lines
4.5 KiB
Markdown
110 lines
4.5 KiB
Markdown
# End-to-end examples
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Each example stands on its own. Artifacts land under `<target>/.openultrasast/runs/<scan-id>/`.
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`.openultrasast/` is gitignored.
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## 1. Quick scan a local repo (deterministic, no keys)
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```bash
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uv run ousast scan /path/to/code --mode quick
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run=/path/to/code/.openultrasast/runs/<scan-id>
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cat "$run/report.md" # findings + evidence (secrets redacted)
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jq . "$run/score.json" # 0–100 project score + gate verdict
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"$run/report.sarif" # SARIF for code-scanning / IDEs
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```
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## 2. Standard scan with the engine (Docker)
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```bash
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source ops/shell/ousast.sh # once per shell; builds the image on first use
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ousast scan . --mode standard # Joern model layer, container network off: no model calls
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ousast-with-judge scan . --mode standard # network on, so the model is asked (needs DEEPSEEK_API_KEY)
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```
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Without a key, the graph still decides. Its entailed findings are reported. The LLM's residual
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and suspicion questions go unasked.
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## 3. CI gate
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```bash
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# Fail the build on any evidence-verified finding:
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uv run ousast scan . --mode quick --fail-on verified
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# The hard detection gate (>=90% recall, <10% FP), score-independent:
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uv run python -m openultrasast.gate
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```
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## 4. Benchmark a known-vulnerable corpus
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```bash
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uv run ousast benchmark benchmarks/manifests/python-vulnerable.toml --mode quick
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# -> expected / matched / missed counts + a per-rule recommendation delta
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```
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## 5. Vuln vs fixed pair eval (efficiency, not cheat-sheet recall)
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```bash
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uv run ousast pairs # local fixtures + vendored GitHub VFCs
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uv run ousast pairs --slice github --json # honesty dashboard as JSON
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uv run ousast pairs --slice sast # OWASP Benchmark + Juliet Youden (TPR-FPR)
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uv run ousast pairs --slice vibe-py --pointers # nightly: pointer pairs via the local cache (network)
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uv run ousast pairs --split holdout --profile human # filter by declared split and provenance profile
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uv run python -m openultrasast.pair_gate # CI: local pairs must all pass
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```
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Each case is two isolated trees: the vuln file and the patched file, at the same relative path.
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- `pair_correct` means the harness fired on the vuln side and stayed silent on the fix.
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- Misses become `miss` signals and fix-side leaks become `fp` signals for `ousast improve`.
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- The catalog and public dataset pointers live in `benchmarks/pairs/`.
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## 6. Self-improve the ruleset from benchmark feedback
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```bash
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uv run ousast improve benchmarks/manifests/java-spring-boot-vulnerable.toml --dry-run # preview
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uv run ousast improve benchmarks/manifests/java-spring-boot-vulnerable.toml # apply
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# Accepted edits land in <target>/.openultrasast/calibration/rule_policy.json,
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# which the next scan/benchmark of that target loads automatically.
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```
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## 7. Running the agentic plane
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Model work over whole repositories runs as a Run manifest on ax. Each task gets one isolated
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actor. Bring-up is in [ops/ax/README.md](ops/ax/README.md).
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`ousast` reads the provider key from the environment, or from `.env`. `.env` never overrides an
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exported variable. The key is sent only in each task's start request.
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```bash
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uv run ousast plane doctor # kind, Agent Substrate, ax controller, runner image
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uv run ousast plane run plane/runs/validation-46.yaml # per case: repo-facts, verify a/b/c, agree, final, features, remember
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uv run ousast plane status validation-46 # per-task status and token attribution
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uv run ousast plane remember validation-46 # re-ingest the run's memory rows (OUSAST_MEMORY)
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# Feed the stored rows back into the ruleset loop (same validator and gate)
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uv run ousast improve benchmarks/manifests/java-spring-boot-vulnerable.toml --dry-run --memory
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```
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Each task in the Run carries its own Model and `budget: {usd, calls}`.
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- A task that reaches its ceiling stops as `unfinished`. It resumes on a rerun with a larger
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budget.
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- `ousast plane status` prints the token attribution table. It shows calls, prompt, cache-hit and
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output tokens, and USD per task.
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## 8. Drive it from an MCP client (OpenCode / IDE)
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MCP (Model Context Protocol) lets an editor or agent call the tool's functions.
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```jsonc
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{ "command": "uv", "args": ["run", "ousast", "mcp"] }
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```
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Then call the tools in this order:
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1. `openultrasast.scan {path}` returns a `run_dir`.
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2. `openultrasast.findings {run_dir}` lists the findings.
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3. `openultrasast.explain {run_dir, finding_id}` explains one.
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See the README section "Agent integrations".
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