Skill Arbiter Churn Forensics

Skill Arbiter Churn Forensics

Use this skill to diagnose and document churn incidents.

Workflow

1. Re-run affected skills with JSON output enabled.
2. Compare samples, max_rg, and persistent_nonzero across candidates.
3. Classify outcomes as keep/delete with explicit rationale.
4. Persist a reproducible evidence trail for threshold adjustments.

Diagnostic Run Example

python3 scripts/arbitrate_skills.py <skill> [<skill> ...] \
  --source-dir /path/to/local/skills \
  --dest $CODEX_HOME/skills \
  --window 10 --threshold 3 --max-rg 3 \
  --json-out /tmp/arbiter-forensics.json

Forensics Notes

• persistent_nonzero=true indicates repeated rg activity streak.
• max_rg >= max-rg threshold triggers delete/blacklist action.
• Local immutable entries always win and prevent deletion.

Scope Boundary

Use this skill only for the skill-arbiter-churn-forensics lane and workflow defined in this file and its references.

Do not use this skill for unrelated lanes; route those through $skill-hub and the most specific matching skill.

Reference

• references/churn-signals.md

Loopback

If this lane is unresolved, blocked, or ambiguous:

1. Capture current evidence and failure context.
2. Route back through $skill-hub for chain recalculation.
3. Resume only after the updated chain returns a deterministic next step.

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