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-review-agentgit 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-agent)<a href="https://agentmods.dev/skills/wednesday-solutions/ai-agent-skills/pr-review-agent"><img src="https://agentmods.dev/badge/skills/wednesday-solutions/ai-agent-skills/pr-review-agent/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-agent"><img src="https://agentmods.dev/badge/skills/wednesday-solutions/ai-agent-skills/pr-review-agent.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 | $0.00062 | $0.00470 |
| Opus 5 | $0.00031 | $0.00235 |
| Sonnet 5 | $0.00012 | $0.00094 |
| Haiku 4.5 | $0.00006 | $0.00047 |
Grade A, and why
pr-review-agent 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.
What it actually says
PR Review Agent
When to use
- "Review this PR"
- "Is this PR ready to merge?"
- "Check this PR for issues"
- PR is open and review comments have been posted
What to do
-
triage-read — Fetch all review comments via
gh pr view --comments. Sort by impact: security → breaking → logic → performance → naming → style. Present the full categorised list to the dev. -
In parallel:
- brownfield-fix — Run
wednesday-skills scoreandwednesday-skills blaston every file changed in the PR. Flag any file with risk > 60. - brownfield-drift — Run
wednesday-skills drift --since <base-sha>. Report any architecture violations introduced by this PR.
- brownfield-fix — Run
-
Present a unified report:
- Review comments (categorised)
- High-risk changed files (score + dependent count)
- Architecture violations (if any)
-
triage-fix — Wait for dev approval: "@agent fix #N" or "@agent fix all". Apply fixes in priority order. Read git-os skill before committing. One commit per fix item.
Never
- Fix without explicit dev approval
- Skip blast radius check — always run even for small PRs
- Skip drift check — always run even if no violations are expected
- Bundle multiple file fixes in one commit
- Force-push or silently skip a failed fix
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 50 lines · 62 tokens per session scan A b649a0b27258
pr-review-agent is a skill published in the GitHub repository wednesday-solutions/ai-agent-skills (168 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 470 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.
Other skills, from other repositories
sdd-apply
Skill "sdd-apply" from Gentleman-Programming/gentle-ai, covering execution role, language domain contract, purpose, what you receive and execution and persistence contract.
gentle-ai-collab-perfect
Trigger: contributing to Gentleman-Programming/gentle-ai as an external collaborator. Strict issue-first workflow, honest PR bodies, contributor-vs-maintainer scope, chained-PR strategy, verification protocol, docstring coverage. Load whenever the active repo is Gentleman-Programming/gentle-ai and any part of the…
issue-creation
Trigger: issue creation, bug reports, feature requests, or issue approval. Create and triage GitHub issues from repository evidence.
sdd-tasks
Break an SDD change into implementation tasks. Trigger: orchestrator launches task planning for a change.
sdd-verify
Skill "sdd-verify" from Gentleman-Programming/gentle-ai, covering execution role, language domain contract, activation contract, hard rules and decision gates.
sdd-spec
Write SDD delta specs with requirements and scenarios. Trigger: orchestrator launches spec work for a change.