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 ratnesh-maurya/cursor-claude-personas --skill comprehensive-review-pr-enhancegit clone --depth 1 https://github.com/ratnesh-maurya/cursor-claude-personasWrote 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/ratnesh-maurya/cursor-claude-personas/comprehensive-review-pr-enhance)<a href="https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/comprehensive-review-pr-enhance"><img src="https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/comprehensive-review-pr-enhance/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/ratnesh-maurya/cursor-claude-personas/comprehensive-review-pr-enhance"><img src="https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/comprehensive-review-pr-enhance.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 | $0.00069 | $0.00552 |
| Opus 5 | $0.00034 | $0.00276 |
| Sonnet 5 | $0.00014 | $0.00110 |
| Haiku 4.5 | $0.00007 | $0.00055 |
Grade A, and why
comprehensive-review-pr-enhance 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pull Request Enhancement
Workflow
- Run
git diff <base>...HEAD --statto identify changed files and scope - Categorise changes: source, test, config, docs, build, styles
- Generate the PR description using the template below
- Add a review checklist based on which file categories changed
- Flag breaking changes, security-sensitive files, or large diffs (>500 lines)
PR Description Template
## Summary
<!-- one-paragraph executive summary: what changed and why -->
## Changes
| Category | Files | Key change |
|----------|-------|------------|
| source | `src/auth.ts` | added OAuth2 PKCE flow |
| test | `tests/auth.test.ts` | covers token refresh edge case |
| config | `.env.example` | new `OAUTH_CLIENT_ID` var |
## Why
<!-- link to issue/ticket + one sentence on motivation -->
## Testing
- [ ] unit tests pass (`npm test`)
- [ ] manual smoke test on staging
- [ ] no coverage regression
## Risks & Rollback
- **Breaking?** yes / no
- **Rollback**: revert this commit; no migration needed
- **Risk level**: low / medium / high — because ___
Review Checklist Rules
Add checklist sections only when the matching file category appears in the diff:
| File category | Checklist items |
|---|---|
| source | no debug statements, functions <50 lines, descriptive names, error handling |
| test | meaningful assertions, edge cases, no flaky tests, AAA pattern |
| config | no hardcoded secrets, env vars documented, backwards compatible |
| docs | accurate, examples included, changelog updated |
security-sensitive (auth, crypto, token, password in path) |
input validation, no secrets in logs, authz correct |
Splitting Large PRs
When diff exceeds 20 files or 1000 lines, suggest splitting by feature area:
git checkout -b feature/part-1
git cherry-pick <commits-for-part-1>
Resources
resources/implementation-playbook.md— Python helpers for automated PR analysis, coverage reports, and risk scoring
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 · 71 lines · 69 tokens per session scan A eee622bfbcdf
comprehensive-review-pr-enhance is a skill published in the GitHub repository ratnesh-maurya/cursor-claude-personas (8 stars, last pushed 5mo ago), licensed MIT. It adds 69 tokens to every session and 552 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 2026-08-31.
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