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 agentmods add commands/tacoda/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/commands/tacoda/keystone/review)<a href="https://agentmods.dev/commands/tacoda/keystone/review"><img src="https://agentmods.dev/badge/commands/tacoda/keystone/review.svg" alt="Measured on agentmods" 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 | $0.00010 | $0.00312 |
| Opus 5 | $0.00005 | $0.00156 |
| Sonnet 5 | $0.00002 | $0.00062 |
| Haiku 4.5 | $0.00001 | $0.00031 |
Grade A, and why
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 3d 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
review
Run the four review sensors on the current diff. Semantic check, post-verify. Read .charter/guides/process/review.md.
Activities
Run the four review sensors. If the agent supports parallel sub-agents (Claude Code, etc.), spawn them concurrently — one sub-agent per sensor, all in a single message — and combine their findings. Agents without sub-agent parallelism run the sensors sequentially.
| Sensor | Doc |
|---|---|
| review-functional | .charter/sensors/review-functional.md |
| review-security | .charter/sensors/review-security.md |
| review-risk | .charter/sensors/review-risk.md |
| review-deployment | .charter/sensors/review-deployment.md |
Also run spec-adherence (.charter/sensors/spec-adherence.md) if a spec was authored — walk acceptance criteria line by line against the diff.
Output
Single combined finding list, grouped by sensor, with severity tags.
Gate
Don't ship until the review findings are addressed (fix, ignore-with-reason, or punt to a follow-up issue).
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.
- 3d ago First seen · 30 lines · 10 tokens per session scan A c3f45db1be22
review is a command published in the GitHub repository tacoda/keystone (44 stars, last pushed 2mo ago), licensed MIT. It adds 10 tokens to every session and 312 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.
Other commands, from other repositories
observe
部屋を能動的に観察する。3つの基本ブロックを自由に選びながらループし、受動的なスナップショットではなく発見のある観察を行う。.
model
Check if an AI model fits on your GPU before downloading.
cuda-install
Get step-by-step CUDA Toolkit installation instructions tailored to your platform.
eol-report
EOL/EOS risk report — devices, OS versions, and firmware approaching or past end-of-life/end-of-support, prioritized by criticality.
gum-search
BM25 search the embedded catalog (TTY table, pipe JSON).
rvcsi-calibrate
Learn a v0 per-subcarrier baseline (mean amplitude) from a .rvcsi capture.