Imported from ArtemioPadilla/agent-triforce (
.claude/skills/checklist-health/SKILL.md). Install upstream withnpx skills add ArtemioPadilla/agent-triforce --skill checklist-health. Copyright stays with the author.
Run a checklist health analysis across the Agent Triforce system.
Follow these steps:
SIGN IN:
- Run the SIGN IN checklist from your agent file
- Note any recent workflow runs or known checklist issues
READ CHECKLIST DEFINITIONS:
- Read all checklist definitions from the 3 agent files:
.claude/agents/prometeo-pm.md-- extract all checklist sections (SIGN IN, TIME OUT, SIGN OUT, NON-NORMAL).claude/agents/forja-dev.md-- extract all checklist sections.claude/agents/centinela-qa.md-- extract all checklist sections
- For each checklist, record: agent name, checklist name, type (DO-CONFIRM or READ-DO), item count, and each item's text
READ EVENT HISTORY:
3. Read docs/checklist-health/events.jsonl if it exists
- If the file does not exist, create
docs/checklist-health/directory and an emptyevents.jsonlfile - Each line in events.jsonl follows this schema:
{ "checklist": "string (e.g., 'forja-dev/Implementation Complete')", "item_index": "number (0-based index within the checklist)", "item_text": "string (the checklist item text)", "workflow_run_id": "string (unique ID for the workflow run)", "timestamp": "string (ISO 8601 format)", "hit": "boolean (true if this item caught an issue)", "confirmed": "boolean (true if the caught issue was a real issue, not false positive)", "issue_type": "string (optional, category of the issue caught)" }
- If fewer than 10 workflow runs are recorded, note this in the report as insufficient data for statistical analysis but proceed with available data
ANALYZE: 5. Calculate hit rate per checklist item:
- Hit rate = (events where hit=true AND confirmed=true) / (total events for that item)
- Group by checklist, then by item
- Identify stale items: items with 0 confirmed hits in the last 20 workflow runs
- These are candidates for removal or rewording
- Check if the item is a safety-critical "last resort" item (e.g., security checks) -- these should not be removed even with 0 hits
- Identify coverage gaps:
- Look at issue types from events where
hit=falsebut an issue was found later (post-checklist discovery) - Look at recurring issue types in
docs/reviews/that do not map to any existing checklist item - Cross-reference with TECH_DEBT.md for patterns of recurring debt
- Look at issue types from events where
- Generate suggested new checklist items for identified gaps:
- Follow Boorman's principles: simple, verifiable, under 10 words
- Assign to the most appropriate agent and checklist
- Mark as "Suggested" -- never auto-add to checklists
TIME OUT -- Analysis Verification (DO-CONFIRM):
- All 3 agent files read and all checklists extracted
- Event history parsed without errors (or empty state handled)
- Hit rates calculated correctly (denominator is opportunities, not total events)
- Stale items identified with context (safety-critical items flagged separately)
- Coverage gaps cross-referenced with reviews and tech debt
- Suggested items follow Boorman's principles (simple, verifiable, <10 words)
GENERATE REPORT:
9. Write the report to docs/checklist-health/report-{date}.md using this structure:
# Checklist Health Report -- {YYYY-MM-DD}
## Summary
- Total checklists analyzed: {N}
- Total checklist items: {N}
- Workflow runs in dataset: {N}
- Data sufficiency: {Sufficient (>=10 runs) | Insufficient (<10 runs)}
## Hit Rates by Checklist
### {Agent Name} -- {Checklist Name} ({Type})
| # | Item | Hits | Opportunities | Hit Rate | Status |
|---|------|------|---------------|----------|--------|
| 1 | {item text} | {N} | {N} | {N%} | Active / Stale / Safety-Critical |
## Stale Items (Candidates for Review)
Items with 0 confirmed hits in the last 20 runs:
- [{agent}/{checklist}] Item {N}: "{text}" -- Consider: removal | rewording | reclassify as safety-critical
## Coverage Gaps
Issue types found in reviews/workflow but not covered by any checklist item:
- **{issue type}**: Found {N} times. No corresponding checklist item exists.
## Suggested New Items
| Agent | Checklist | Suggested Item | Rationale |
|-------|-----------|---------------|-----------|
| {agent} | {checklist} | {<10 word item} | {why this item is needed} |
## Recommendations
{Prioritized list of actions: items to remove, items to reword, items to add}
LOG THIS RUN:
10. Append an event to docs/checklist-health/events.jsonl for this analysis run:
json {"checklist": "centinela-qa/checklist-health-analysis", "item_index": 0, "item_text": "Checklist health analysis completed", "workflow_run_id": "{generated-id}", "timestamp": "{ISO 8601}", "hit": false, "confirmed": false, "issue_type": "meta-analysis"}
SIGN OUT: 11. Report: - Path to generated report - Top 3 findings (most stale items, biggest coverage gaps, highest-value suggestions) - Whether data is sufficient for reliable analysis 12. Run the SIGN OUT checklist from your agent file