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 85danf/agent-skills --skill review-prgit clone --depth 1 https://github.com/85danf/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/85danf/agent-skills/review-pr)<a href="https://agentmods.dev/skills/85danf/agent-skills/review-pr"><img src="https://agentmods.dev/badge/skills/85danf/agent-skills/review-pr/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/85danf/agent-skills/review-pr"><img src="https://agentmods.dev/badge/skills/85danf/agent-skills/review-pr.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 | $0.00100 | $0.01459 |
| Opus 5.5 | $0.00040 | $0.00584 |
| Sonnet 5.5 | $0.00020 | $0.00292 |
| Haiku 4.5 | $0.00010 | $0.00146 |
Grade A, and why
review-pr 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.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comprehensive PR Review
Run a comprehensive pull request review using multiple specialist checklists, each focusing on a different aspect of code quality.
The user may optionally name specific review aspects to run (e.g. "tests", "errors", "comments", "types", "code", "simplify", or "all"). If they don't, run all applicable reviews.
Review Workflow
1. Determine Review Scope
- Check git status to identify changed files
- Parse any user-specified review aspects
- Default: run all applicable reviews
2. Available Review Aspects
- comments - Analyze code comment accuracy and maintainability
- tests - Review test coverage quality and completeness
- errors - Check error handling for silent failures
- types - Analyze type design and invariants (if new types added)
- code - General code review for project guidelines
- simplify - Simplify code for clarity and maintainability
- all - Run all applicable reviews (default)
3. Identify Changed Files
- Run
git diff --name-onlyto see modified files - Check if a PR already exists (e.g.
gh pr view) - Identify file types and which reviews apply
4. Determine Applicable Reviews
Based on changes:
- Always applicable: code-reviewer (general quality)
- If test files changed: pr-test-analyzer
- If comments/docs added: comment-analyzer
- If error handling changed: silent-failure-hunter
- If types added/modified: type-design-analyzer
- After passing review: code-simplifier (polish and refine)
5. Launch Review Agents
Each specialist's full checklist lives in references/specialists/:
code-reviewer.md, pr-test-analyzer.md, comment-analyzer.md, silent-failure-hunter.md, type-design-analyzer.md, code-simplifier.md.
- On a platform with subagent/parallel-task dispatch (e.g. Claude Code's Task tool): dispatch each applicable specialist (
references/specialists/*.md) as its own subagent — in parallel if the user asked for a fast comprehensive review, or sequentially if not. - On a platform without subagent dispatch: work through each applicable specialist's checklist yourself in the same order, one at a time, noting its findings before moving to the next.
What ships with it
6 files 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.
- references/specialists/code-reviewer.md 2.6 KB
- references/specialists/code-simplifier.md 3.9 KB
- references/specialists/comment-analyzer.md 4.3 KB
- references/specialists/pr-test-analyzer.md 3.9 KB
- references/specialists/silent-failure-hunter.md 7.0 KB
- references/specialists/type-design-analyzer.md 4.3 KB
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 · 165 lines · 100 tokens per session scan A cbb0acc38066
review-pr is a skill published in the GitHub repository 85danf/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 1,459 once invoked, about $0.0004 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 2026-09-26.
review-pr compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review-pr85danf/agent-skills | Skill | 2 | 1mo ago | MIT | A | 100 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |