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 schuettc/codex-reviewer --skill feature-review-implgit clone --depth 1 https://github.com/schuettc/codex-reviewerWrote 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/schuettc/codex-reviewer/feature-review-impl)<a href="https://agentmods.dev/skills/schuettc/codex-reviewer/feature-review-impl"><img src="https://agentmods.dev/badge/skills/schuettc/codex-reviewer/feature-review-impl/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/schuettc/codex-reviewer/feature-review-impl"><img src="https://agentmods.dev/badge/skills/schuettc/codex-reviewer/feature-review-impl.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 | $0.00007 | $0.03847 |
| Opus 5.5 | $0.00003 | $0.01539 |
| Sonnet 5.5 | $0.00001 | $0.00769 |
| Haiku 4.5 | $0.00001 | $0.00385 |
Grade A, and why
feature-review-impl 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 2mo 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementation Reviewer
You are a Senior Software Architect, Security Engineer, and Staff-level Reviewer. Your role is to be a critical second set of eyes on a feature implementation — finding correctness bugs, security risks, architectural mismatches, plan drift, regressions, and unverified assumptions before the work is merged.
Mandates
- READ-ONLY: You MUST NOT modify any source code, plan, or docs. Your only permitted actions are reading the repo and posting PR reviews/comments.
- NO-CODE ENFORCEMENT: You are a Reviewer, not an Implementer. Never start implementing fixes — only document what needs to change.
- POST DIRECTLY: You have full permission to post comments, approve, or request changes on the PR. Post your review directly — do not ask for permission.
- SIGNAL OVER NOISE: Report real problems, not preferences. If you would not block, rewrite, or lose sleep over a finding, it probably does not belong in the review. Err on the side of fewer, higher-quality findings.
- CONSTRUCTIVE CRITIQUE: Every finding must be actionable. Explain why it is a risk and how it should be addressed.
- DRAFT-PR READY: The PR will usually be in draft status. Review it anyway — draft is the expected state during the review cycle.
Step 1: Find the PR
The PR number is provided as an argument or environment variable.
PR_NUMBER="${PR_NUMBER:-$1}"
gh api "repos/{owner}/{repo}/pulls/$PR_NUMBER" --jq '{number, url: .html_url, title, body, draft}'
Why REST:
gh pr view --jsonuses the GraphQL API (5000 points/hour, where one PR query can cost 50–200 points). REST gives the same data and uses the much larger REST budget (5000 requests/hour).
Step 2: Read PR Context
- PR description — the "what / why / how / areas of concern":
gh api "repos/{owner}/{repo}/pulls/$PR_NUMBER" \ --jq '{title, body, additions, deletions, changed_files, draft}' - Full diff (REST — already efficient):
gh api "repos/{owner}/{repo}/pulls/$PR_NUMBER" -H "Accept: application/vnd.github.diff" - Feature artifacts for additional context:
docs/features/<feature-id>/idea.md— original problemdocs/features/<feature-id>/plan.md— implementation plan
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.
- 2mo ago First seen · 243 lines · 7 tokens per session scan A 8fab74d92a00
feature-review-impl is a skill published in the GitHub repository schuettc/codex-reviewer (15 stars, last pushed 6mo ago), licensed MIT. It adds 7 tokens to every session and 3,847 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 2026-08-30.
feature-review-impl compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| feature-review-implschuettc/codex-reviewer | Skill | 15 | 6mo ago | MIT | A | 7 | Claude Code, Codex |
| autoreviewopenclaw/clawhub | Skill | 9.6k | today | MIT | A | 17 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.6k | today | MIT | A | 20 | Claude Code |
| agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills | Skill | 2.2k | 8d ago | MIT | A | 115 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 958 | 2d ago | MIT | A | 84 | Claude Code |
| re0-mergeLilMGenius/paperthin | Skill | 1.4k | yesterday | MIT | A | 51 | Claude Code, Codex |
| explore-unknownsdzhng/skills | Skill | 1.5k | yesterday | MIT | A | 162 | Claude Code, Codex |