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 tacoda/keystone --skill keystone-reviewgit clone --depth 1 https://github.com/tacoda/keystoneWrote 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/tacoda/keystone/keystone-review)<a href="https://agentmods.dev/skills/tacoda/keystone/keystone-review"><img src="https://agentmods.dev/badge/skills/tacoda/keystone/keystone-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/tacoda/keystone/keystone-review"><img src="https://agentmods.dev/badge/skills/tacoda/keystone/keystone-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 | $0.00018 | $0.00305 |
| Opus 5 | $0.00009 | $0.00152 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
keystone-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 9d 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
keystone:review — semantic review of the current diff
Phase 5 of the six-phase lifecycle. Fires the four inferential review sensors against the in-progress diff:
- review-functional — does the change implement the spec?
- review-security — auth, input validation, secrets, injection.
- review-risk — blast radius, data integrity, observability.
- review-deployment — migrations, rollback, config, infra deps.
Each sensor returns a structured finding list. Semantic check — runs after computational sensors (lint / type / test / build) pass.
Canonical playbook: .charter/actions/review.md. Full
discipline at .charter/guides/process/review.md.
Run
Open .charter/actions/review.md and execute every activity.
When to trigger
- After
/keystone:verifyis clean. - Before opening a PR.
- Anytime a change feels load-bearing and a second pass is cheap.
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.
- 9d ago First seen · 46 lines · 18 tokens per session scan A cd6d889485ae
keystone-review is a skill published in the GitHub repository tacoda/keystone (44 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 305 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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