memory-search

Search agent memory + learned patterns for cross-session context relevant to $ARGUMENTS.

Use during the Orient phase of the Core Loop (../skills/thinking_os/SKILL.md) — never as a substitute for reading current code, only as a prefetch for "have I solved this before?".

Steps:

1. If $ARGUMENTS is empty, ask the user what to search for.
2. Call cos_search(query=$ARGUMENTS, min_confidence=0.3, since_days=180, limit=10).
3. If 0 hits: try cos_doc_search(query=$ARGUMENTS, limit=5) (escalate to docs layer per ../rules/memory.md routing).
4. If still 0 hits: tell the user "no prior context — this looks new" and suggest a fresh Skill thinking_os Cynefin classification.
5. If hits exist, render:

   ## Memory search — "{query}"
   
   ### Top patterns ({n})
   1. [{confidence}] {title}
      Type: {memory_type} | Impact: {impact_score} | Last seen: {date}
      Summary: {short}
      Source: {cos_details tool call to fetch full body}
   

6. For each hit ≥ 0.7 confidence: offer to invoke cos_details(id=...) to expand.
7. Verify before recommending (per ../rules/memory.md): if a high-confidence pattern names a file or function, confirm it still exists in the repo before quoting it as authoritative.

Memory-hygiene reminder: this is a read operation. If during the work you confirm a pattern was useful, record back via cos_observation_record so the next session benefits.