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.
git clone --depth 1 https://github.com/jayvee/aigonWrote 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/jayvee/aigon/feature-review)<a href="https://agentmods.dev/commands/jayvee/aigon/feature-review"><img src="https://agentmods.dev/badge/commands/jayvee/aigon/feature-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/commands/jayvee/aigon/feature-review"><img src="https://agentmods.dev/badge/commands/jayvee/aigon/feature-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 | $0.00006 | $0.00084 |
| Opus 5.5 | $0.00002 | $0.00034 |
| Sonnet 5.5 | $0.00001 | $0.00017 |
| Haiku 4.5 | $0.00001 | $0.00008 |
Grade A, and why
feature-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
aigon-feature-review
Deprecated: This command has been renamed to
feature-code-review. Use/aigon:feature-code-review {{args}}instead.
This stub delegates to feature-code-review. It will be removed in a future release.
Please update your scripts and workflows to use the new name.
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 · 13 lines · 6 tokens per session scan A 73371cc4b200
feature-review is a command published in the GitHub repository jayvee/aigon (26 stars, last pushed 12d ago), licensed Apache-2.0. It adds 6 tokens to every session and 84 once invoked, about $0.0000 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 2026-09-03.
Other commands, from other repositories
mach12:issue-review
Read a GitHub issue and all comments, review the implementation plan, and present findings.
mach12:pr-review-assessment
Independently assess each finding from a PR review and classify it.
mach12:pr-review-fix
Fix specific issues identified in a PR review.
mach12:pr-review
Run a comprehensive PR review with independent reviewers and post the results as a structured comment.
mach12:gh-pr-read
Read a GitHub pull request's title, body, and all top-level PR conversation comments; optionally locate an HTML-marker comment.
mach12:pr-validation-assessment
Independently assess executable PR candidates and commit accepted proofs.