Log agent deposit 2026-07-22: 37 entries, session-judge queue drain (12 LEARNINGS headers, cont.53-59)

[TapeshN]

Summary

Session-judge queue drain: 12 LEARNINGS.md headers (cont.53 through cont.59, dated
2026-07-19 through 2026-07-22) had been queued in agents-inbox/strata-judge-pending.jsonl
because the automated judge cannot run headless (no ANTHROPIC_API_KEY by design —
strata runs key-free/local per the 2026-06-30 operator decision). This is the live-session
judge pass that drains that queue.

• 37 paraphrased, generalized entries deposited across guardrails (23), orchestration (5),
  evals (3), infra (4), agents (2)
• Each of the 12 source headers contributed at least one entry; several near-duplicate or
  fully org-internal sub-lessons within those headers were deliberately dropped (see report
  to the operator for the itemized list)
• All 4 previously-unclassified headers (cont.56/57/58/59) now carry an efficacy verdict in
  the local learnings-efficacy-ledger.jsonl (not part of this diff — local control-plane only)
• Every entry scrubbed clean against the IP blocklist (0 hits) before staging
• Confidence: learned throughout (all derived from real, verified incidents)

Test plan

• classify_learnings.py check exits 0 (all learnings carry an efficacy verdict)
• scrub.py clean on the concatenated paraphrased text of all 37 new files (0 hits)
• Raw LEARNINGS.md source excerpt scanned too (predictably contains internal
  agents-inbox/... program-doc references — exactly what paraphrasing exists to strip;
  confirmed none of that leaked into the paraphrased output)
• Each new file carries valid frontmatter per schema.md (title/date/category/tags/
  confidence/source/implementation_target)
• Operator review + merge (this PR is a draft; it does not self-merge)

🤖 Generated with a Log-agent session (Max plan, zero ANTHROPIC_API_KEY used)