Borrowing it
Nothing to install: this file belongs to zsxh1990/pr-genius. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zsxh1990/pr-genius/main/CLAUDE.mdgit clone --depth 1 https://github.com/zsxh1990/pr-geniusWrote 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/instructions/zsxh1990/pr-genius/claude-md)<a href="https://agentmods.dev/instructions/zsxh1990/pr-genius/claude-md"><img src="https://agentmods.dev/badge/instructions/zsxh1990/pr-genius/claude-md/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/instructions/zsxh1990/pr-genius/claude-md"><img src="https://agentmods.dev/badge/instructions/zsxh1990/pr-genius/claude-md.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 | $0.00669 | $0.00669 |
| Opus 5 | $0.00334 | $0.00334 |
| Sonnet 5 | $0.00134 | $0.00134 |
| Haiku 4.5 | $0.00067 | $0.00067 |
Grade A, and why
pr-genius CLAUDE.md 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 4d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Genius — Agent Guidelines
Project Overview
PR Genius is a Python CLI + GitHub Action that provides commit-level improvement
coaching and cross-repo PR pattern intelligence. Published as prgenius-core on
PyPI and ghcr.io/zsxh1990/pr-genius on GHCR.
Engineering Skills (auto-invoke)
When the user's task matches one of these patterns, invoke the corresponding skill before writing code. Do not wait for the user to ask.
| Task pattern | Skill to invoke |
|---|---|
| User asks to implement a feature, fix a bug, or describes a change | /implement |
| User reports something broken, failing, slow, or says "diagnose" | /diagnosing-bugs |
| User asks to review changes, a branch, or a PR | /review |
| User wants to build test-first or mentions "red-green-refactor" | /tdd |
| User wants to clarify requirements before coding | /grill-with-docs |
Code Standards
- Python 3.9+; no type hints required but recommended for public APIs
- All YAML parsing must strip inline comments before
yaml.safe_load(lesson:yaml_inline_comment_coercion.md) - Anti-pattern / success-pattern YAML: use block scalar
|for multiline content anti_patterns_hitmust return object arrays ({key, description, severity, fix_action}), never string arrays- Shell scripts:
set -euo pipefail; escape user input via temp files, never inline interpolation - Docker: no shell redirection syntax in COPY/RUN (
2>/dev/nulldoesn't work in Dockerfile)
Testing
# Quick validation
python3 validate.py
# Full test suite
python3 -m pytest tests/ -v
Release Process
- Bump version in
pyproject.tomlandprgenius/__init__.py - Update
CHANGELOG.md git tag v1.x.x && git push origin v1.x.x- PyPI publish workflow triggers automatically
- GHCR publish workflow triggers automatically
- Major tag
v1is auto-updated to point to latest release
Key Files
prgenius/src/prgenius/evaluator.py— core analysis engineprgenius/src/prgenius/cli.py— CLI entry pointgithub_action/entrypoint.sh— GitHub Action entry pointanti-patterns/— anti-pattern YAML definitionssuccess-patterns/— success-pattern YAML definitionsdocs/— knowledge bundle shipped with Docker image
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.
- 4d ago First seen · 70 lines · 669 tokens per session scan A e38747437a10
pr-genius CLAUDE.md is an instructions file published in the GitHub repository zsxh1990/pr-genius (3 stars, last pushed 2d ago), licensed MIT. It adds 669 tokens to every session, about $0.0033 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 2026-09-05.
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