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 self-reviewgit 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/self-review)<a href="https://agentmods.dev/skills/artemiopadilla/agent-triforce/self-review"><img src="https://agentmods.dev/badge/skills/artemiopadilla/agent-triforce/self-review/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/self-review"><img src="https://agentmods.dev/badge/skills/artemiopadilla/agent-triforce/self-review.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 | $0.00049 | $0.00369 |
| Opus 5.5 | $0.00020 | $0.00148 |
| Sonnet 5.5 | $0.00010 | $0.00074 |
| Haiku 4.5 | $0.00005 | $0.00037 |
Grade A, and why
self-review 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.
What it actually says
Self-Review
Run 4 checks on the artifact at: $ARGUMENTS
The Protocol (under 60 seconds)
- Placeholder scan — Search for "TBD", "TODO", incomplete sections, vague requirements,
{placeholder}tokens. Fix each one. - Internal consistency — Do sections contradict each other? Do names/types match across references? Does architecture match feature descriptions? Fix contradictions.
- Scope check — Is this focused enough for its purpose? Does it try to do too much? If it needs decomposition, flag it.
- Ambiguity check — Could any requirement be interpreted two ways? Pick one interpretation and make it explicit.
Rules
- Fix inline, don't re-review. When you find issues, fix them immediately. Don't run self-review again after fixing. The purpose is "catch the obvious," not "iterate to perfection."
- This is NOT a subagent dispatch. Read your own output with fresh eyes. Multi-agent review is a separate concern.
- Report what you fixed. After running all 4 checks, briefly state what was found and fixed (or "clean — no issues found").
Output Format
Self-review of {artifact path}:
- Placeholder scan: {clean | fixed N items: list}
- Consistency: {clean | fixed: list}
- Scope: {focused | flagged: reason}
- Ambiguity: {clean | resolved N items: list}
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 · 35 lines · 49 tokens per session scan A 5046b85b9119
self-review is a skill published in the GitHub repository ArtemioPadilla/agent-triforce (3 stars, last pushed 6mo ago), licensed MIT. It adds 49 tokens to every session and 369 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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