Agent Learning Log

Priority: P1 (HIGH)

Write structured mistake entry to AGENTS_LEARNING.md in project root before retrying any corrected action.

Protocol

1. Detect signal — identify which surface triggered this skill:

• Pre-write violation — common-feedback-reporter violation block emitted with Auto-fixed: YES
• User correction — user used correction language mid-session
• Session retrospective — correction loop found during common-session-retrospective

2. Redact — Remove credentials, customer identifiers, raw incident data and attacker-controlled instructions; retain only minimal evidence references
3. Read AGENTS_LEARNING.md — count existing ## Agent Learning Log: Iteration headers → N
4. Append entry — write Iteration #(N+1) using Log Entry Format; default candidate status is proposed, never approved
5. Continue — correct the task; a learning entry does not authorize policy changes or promotion