Borrowing it
Nothing to install: this file belongs to sgharlow/ai-pr-bot. 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/sgharlow/ai-pr-bot/main/CLAUDE.mdgit clone --depth 1 https://github.com/sgharlow/ai-pr-botWrote 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/sgharlow/ai-pr-bot/claude-md)<a href="https://agentmods.dev/instructions/sgharlow/ai-pr-bot/claude-md"><img src="https://agentmods.dev/badge/instructions/sgharlow/ai-pr-bot/claude-md.svg" alt="Measured on agentmods" 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 | $0.00518 | $0.00518 |
| Opus 5 | $0.00259 | $0.00259 |
| Sonnet 5 | $0.00104 | $0.00104 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
ai-pr-bot 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 8d 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.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Common Development Commands
# Install dependencies
npm install
# Development mode with hot reload
npm run dev
# Build the project
npm run build
# Start production server
npm start
# Database commands
npm run db:generate # Generate Prisma client
npm run db:migrate # Deploy database migrations
Architecture Overview
This is an AI-powered GitHub PR review bot built with TypeScript, Fastify, and Prisma. The application follows a modular architecture:
Core Components
-
API Server (
src/index.ts,src/app.ts)- Fastify-based REST API
- Handles GitHub webhooks at
/webhook/github - Health checks at
/health
-
GitHub Integration (
src/lib/github/)client.ts: GitHub App authentication and API clientdiff-analyzer.ts: Analyzes PR diffs for review- Uses Octokit for GitHub API interactions
-
AI Service (
src/lib/ai-service/)enhanced-ai-service.ts: OpenAI GPT-4 integration for code analysis- Performs security, performance, and quality reviews
-
Queue System (
src/lib/queue-system/)- Redis-based job queue using Bull
- Async processing of PR review requests
- Worker processes in
src/worker.ts
-
Database (PostgreSQL via Prisma)
- Schema defined in
prisma/schema.prisma - Stores repositories, reviews, and webhook events
- Schema defined in
Key Environment Variables
GITHUB_APP_ID: GitHub App ID for authenticationGITHUB_PRIVATE_KEY: PEM-formatted private keyGITHUB_WEBHOOK_SECRET: Webhook validation secretOPENAI_API_KEY: OpenAI API key for GPT-4DATABASE_URL: PostgreSQL connection stringREDIS_URL: Redis connection for job queue
Development Flow
- GitHub sends webhook events to
/webhook/github - Events are validated and queued in Redis
- Worker processes pick up jobs and analyze PRs
- AI service reviews code for issues
- Results are posted back as PR comments
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.
- 8d ago First seen · 71 lines · 518 tokens per session scan A 9e8cfa75eaf4
ai-pr-bot CLAUDE.md is an instructions file published in the GitHub repository sgharlow/ai-pr-bot (5 stars, last pushed 1mo ago), licensed MIT. It adds 518 tokens to every session, about $0.0026 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.
Other instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.