Self Review

${var} — Area to focus on. If empty, reviews everything.

If ${var} is set, focus the review on that specific area.

Read memory/MEMORY.md for context and goals. Read ALL memory/logs/ entries from the last 7 days.

Steps:

1. Audit quality of outputs:
   • Read memory/skill-health/*.json for quality scores and trends. Flag any skills with avg_score < 3 or declining trends (score dropping over last 10 runs).
   • Read recent articles in articles/ — are they substantive or formulaic?
   • Check recent notifications in logs — were they useful or noisy?
   • Review any PR comments posted — were they actionable?
2. Audit reliability:
   • Read memory/cron-state.json for hard metrics: success_rate, total_runs, consecutive_failures per skill.
   • How many skills ran vs expected? Use total_runs and success_rate.
   • Any repeated errors or patterns of failure? Check last_error fields for recurring signatures.
   • Any skills with consecutive_failures >= 3? Likely API degradation — recommend investigation or disabling.
   • Are monitors catching real issues or always returning OK?
3. Audit memory hygiene:
   • Is MEMORY.md current and under 50 lines?
   • Are logs structured consistently?
   • Any stale data that should be cleaned?
4. Generate improvement recommendations:
   • Skills to add, modify, or disable
   • Schedule adjustments
   • Config changes (feeds, repos, addresses to add/remove)
   • Quality improvements (better prompts, new data sources)
5. Save the full review to articles/self-review-${today}.md.
6. Apply any safe, obvious improvements directly:
   • Prune stale MEMORY.md entries
   • Update feeds.yml if feeds are dead
7. Send a summary via ./notify:
   Copy

   *Self Review — ${today}*
   Quality: assessment
   Reliability: X/Y skills ran
   Actions taken: what was fixed
   Recommendations: top 2-3 suggestions
   

8. Log to memory/logs/${today}.md.