Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ArtemioPadilla/agent-triforce --skill checklist-healthgit clone --depth 1 https://github.com/ArtemioPadilla/agent-triforceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/artemiopadilla/agent-triforce/checklist-health)<a href="https://agentmods.dev/skills/artemiopadilla/agent-triforce/checklist-health"><img src="https://agentmods.dev/badge/skills/artemiopadilla/agent-triforce/checklist-health/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/artemiopadilla/agent-triforce/checklist-health"><img src="https://agentmods.dev/badge/skills/artemiopadilla/agent-triforce/checklist-health.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.01308 |
| Opus 5.5 | $0.00017 | $0.00523 |
| Sonnet 5.5 | $0.00008 | $0.00262 |
| Haiku 4.5 | $0.00004 | $0.00131 |
Grade A, and why
checklist-health scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 116 lines · 42 tokens per session scan A 01b0273295bc
checklist-health is a skill published in the GitHub repository ArtemioPadilla/agent-triforce (3 stars, last pushed 6mo ago), licensed MIT. It adds 42 tokens to every session and 1,308 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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