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 wednesday-solutions/ai-agent-skills --skill pr-reviewgit clone --depth 1 https://github.com/wednesday-solutions/ai-agent-skillsWrote 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/wednesday-solutions/ai-agent-skills/pr-review)<a href="https://agentmods.dev/skills/wednesday-solutions/ai-agent-skills/pr-review"><img src="https://agentmods.dev/badge/skills/wednesday-solutions/ai-agent-skills/pr-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/wednesday-solutions/ai-agent-skills/pr-review"><img src="https://agentmods.dev/badge/skills/wednesday-solutions/ai-agent-skills/pr-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 | $0.00058 | $0.00684 |
| Opus 5 | $0.00029 | $0.00342 |
| Sonnet 5 | $0.00012 | $0.00137 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
pr-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 12d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Review — Gemini Fix Queue
Trigger
Load this skill when a dev wants to act on PR review comments:
- "Fix the review comments"
- "Triage the PR feedback"
- "Apply fixes from the review"
- "@agent fix #1 #3"
- "@agent fix all"
- "What do I need to fix in this PR?"
Also triggered automatically by GitHub Actions when Gemini bot posts a PR review.
Do NOT use this skill for: creating a new PR (use pr-create), or committing code (use git-os). This skill only runs on an already-open PR that has review comments on it.
Priority Order
Fix in this order — lower number = fix first.
| Rank | Category | Examples |
|---|---|---|
| 1 | security | auth issues, injection risks, data exposure |
| 2 | breaking | API contract changes, interface changes |
| 3 | logic | wrong conditions, missing edge cases |
| 4 | performance | N+1 queries, unnecessary re-renders |
| 5 | naming | variable/function/class names, casing |
| 6 | style | formatting, whitespace, import order |
Rule: never fix a style item while a security or breaking issue is pending.
Review Report Format
# Gemini Review — PR #<n>
| # | Category | File | Issue | Status |
|---|----------|------|-------|--------|
| 1 | security | src/db.js | SQL query not parameterized | ⬜ pending |
| 2 | logic | src/user.js | Missing null check on user.profile | ⬜ pending |
| 3 | naming | src/auth.js | Variable `x` is unclear | ⬜ pending |
To fix: `@agent fix #1 #2` Fix all: `@agent fix all`
Tools
| Action | Tool |
|---|---|
| Read a file before applying a fix | Read |
| Apply a fix to a file | Edit |
| Run git commands (commit, push) | Bash |
| Search for a pattern across files | Grep |
| Find files by name | Glob |
Agent Fix Rules
- Never auto-fix without explicit dev approval (
@agent fix #N) - Read
git-osSKILL.md before making any commit - One commit per fix item
- Commit format:
fix(scope): description\n\nResolves review item #N - Push to the same PR branch
- Update the report — mark fixed items as
✅ fixed
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.
- 12d ago First seen · 81 lines · 58 tokens per session scan A b5ecedae86ed
pr-review is a skill published in the GitHub repository wednesday-solutions/ai-agent-skills (168 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 684 once invoked, about $0.0003 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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