Borrowing it
Nothing to install: this file belongs to in-the-loop-labs/pair-review. 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/in-the-loop-labs/pair-review/main/CLAUDE.mdgit clone --depth 1 https://github.com/in-the-loop-labs/pair-reviewWrote 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/in-the-loop-labs/pair-review/claude-md)<a href="https://agentmods.dev/instructions/in-the-loop-labs/pair-review/claude-md"><img src="https://agentmods.dev/badge/instructions/in-the-loop-labs/pair-review/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/in-the-loop-labs/pair-review/claude-md"><img src="https://agentmods.dev/badge/instructions/in-the-loop-labs/pair-review/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 | $0.03784 | $0.03784 |
| Opus 5 | $0.01892 | $0.01892 |
| Sonnet 5 | $0.00757 | $0.00757 |
| Haiku 4.5 | $0.00378 | $0.00378 |
Grade A, and why
pair-review CLAUDE.md scanned grade A with 1 finding 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 9d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- **Tests must NEVER open browser tabs or windows.** All calls to the `open` npm package in production code are gated behind `PAIR_REVIEW_NO_OPEN` env var. Vitest config sets this globally. Any test that spawns the CLI v How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pair-Review Project Requirements
Overview
Pair-Review is a local web application that assists human reviewers with GitHub pull request reviews by providing AI-powered suggestions and insights. The AI acts as a pair programming partner, highlighting potential issues and noteworthy aspects to accelerate the review process while keeping the human reviewer in control.
Core Value Propositions
-
Tight Feedback Loop for AI Coding Agents: Enable humans to review AI-generated code and provide structured feedback back to the coding agent (Claude Code, Cursor, etc.) for iteration. This creates a continuous improvement cycle where the human stays in control while working collaboratively with AI agents.
-
AI-Assisted Human Review Partner: Help humans perform better code reviews by acting as a collaborative partner that highlights issues, insights, and noteworthy aspects. This is not just an automated bug finder or AI review tool - it's a partner that assists the human reviewer in making informed decisions.
Core Architecture
- Backend: Node.js with Express server
- Frontend: Vanilla JavaScript (no framework) - familiar GitHub-like UI
- Database: SQLite for local storage of reviews and drafts
- AI Integration: Claude CLI in SDK mode (
claude -pfor programmatic output), Antigravity CLI (agy), Codex - Distribution: npm package executable via
npx pair-review
Key Design Principles
- GitHub UI Familiarity: Interface should feel instantly familiar to GitHub users
- Human-in-the-loop: AI suggests, human decides
- Local-first: All data and processing happens locally
- Progressive Enhancement: Start simple, add features incrementally
- No hot-reload: Configuration is loaded once at startup. Do not flag missing cleanup on config reapply — it cannot occur at runtime.
Core Workflow
- User runs
npx pair-review <PR-number-or-URL> - App checks out PR branch locally (new worktree)
- Web UI opens automatically in browser showing PR diff
- User clicks button to trigger AI analysis (optional - simple PRs may not need it)
- AI performs 3-level review analysis:
- Level 1: Analyze changes in isolation (bugs/issues in changed lines only)
- Level 2: Analyze changes in file context (consistency within file)
- Level 3: Analyze changes in codebase context (architectural consistency)
- AI suggestions appear inline with code, categorized by type
- User adopts/edits/discards AI suggestions and adds own comments
- User submits complete review to GitHub with inline comments and overall status
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.
- 9d ago First seen · 230 lines · 3,784 tokens per session scan A d738b1e550c8
pair-review CLAUDE.md is an instructions file published in the GitHub repository in-the-loop-labs/pair-review (58 stars, last pushed today), licensed Apache-2.0. It adds 3,784 tokens to every session, about $0.0189 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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