docs(learning-harness): technical design and research log

A learning package layered families -> classify -> scoring -> split ->
detectors and verifiers -> rounds -> publish, composing the existing seams:
the tool hunter gains prompt, context and tool parameters; the hunter path of
the pair scorer takes an injected family matcher so pairs never imports
learning; every learning path selects teachers through one train-only rule;
the regress verdict takes an optional canary oracle; the chat endpoint resolves
DeepSeek before OpenRouter with thinking disabled and reasoning replayed, while
embeddings keep their own endpoint; HarnessX proposes behind the seam with a
scripted proposer for offline runs. Fifty-nine acceptance criteria traced;
boundary sections, file structure plan and migration phases populated.

Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG

.kiro/specs/learning-harness/spec.json

@@ -1,16 +1,16 @@
 {
   "feature_name": "learning-harness",
   "created_at": "2026-09-06T06:32:41Z",
-  "updated_at": "2026-09-06T06:34:14Z",
+  "updated_at": "2026-09-06T06:43:38Z",
   "language": "en",
-  "phase": "requirements-generated",
+  "phase": "design-generated",
   "approvals": {
     "requirements": {
       "generated": true,
-      "approved": false
+      "approved": true
     },
     "design": {
-      "generated": false,
+      "generated": true,
       "approved": false
     },
     "tasks": {
@@ -25,5 +25,6 @@
     "authorization-obligations",
     "tree-sitter-overlay-extra",
     "harnessx-self-improving-rulesets"
-  ]
+  ],
+  "approval_note": "2026-09-06 requirements approved by the maintainer in session ('approve the requirements and run the design phase')"
 }