ReviewQueueMcp: Instructions file for Claude Code

CLAUDE.md

ReviewQueueMcp CLAUDE.md is an instructions file for Claude Code from JigeeshaJain/ReviewQueueMcp. It costs 2,129 tokens per session, scanned A, original, Apache-2.0.

A set of project instructions for a Python MCP server that exposes a GitHub pull-request review queue. A review queue is the list of code changes waiting for someone to review, ranked and deduplicated for the current GitHub user.

In plain words
What is it for?
Maintaining the review-queue tool, running tests, linting, formatting, and strict type checks, and following the repository's Python and asynchronous-code conventions.
Why use it?
It tells an AI coding assistant how to preserve the server's deliberately narrow design and how to run the project's checks.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is JigeeshaJain/ReviewQueueMcp's own configuration. It tells Claude Code how to work on ReviewQueueMcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ReviewQueueMcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to JigeeshaJain/ReviewQueueMcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/JigeeshaJain/ReviewQueueMcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/JigeeshaJain/ReviewQueueMcp

Made for: Claude Code.

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Per session 2,129 This file is loaded in full into every session.
When invoked 2,129 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02129 $0.02129
Opus 5 $0.01064 $0.01064
Sonnet 5 $0.00426 $0.00426
Haiku 4.5 $0.00213 $0.00213

Measured 9d ago against content hash 47f12127c4eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ReviewQueueMcp 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 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.

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.

CLAUDE.md · 171 lines

How it starts

The opening of the file, as written. The whole thing — 171 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.

Project Overview

gh-review-queue-mcp is an MCP server that exposes exactly one tool, get_review_queue: a ranked, deduped view of the viewer's GitHub pull request review queue. Resisting the urge to add a second tool is a design constraint, not an oversight.

Commands

Dependencies are managed with uv against uv.lock. uv run syncs automatically, so there is no separate install step.

uv run pytest                                    # all tests
uv run pytest tests/test_queue.py::test_diff_size_sums_both_sides   # one test
uv run pytest -k "rank or score"                 # by name
uv run ruff check .                              # lint
uv run ruff format .                             # format
uv run mypy                                      # typecheck

mypy takes its targets from [tool.mypy] files in pyproject.toml, so run it bare — passing a path checks less than CI would. It runs strict, and tests/ is exempted only from disallow_untyped_defs. Ruff's ignore list drops ANN for tests/* and scripts/*. asyncio_mode = "auto", so async tests need no decorator.

Architecture

Four layers, and the boundaries are the point:

  • models.py — frozen pydantic value objects (PullRequest, QueueItem, QueueSnapshot, Reason). No network types live here. PullRequest.from_node() is the only place GitHub's nested GraphQL shape gets flattened.
  • queue.py — the entire ranking pipeline as pure functions: mergeapply_filtersrank/score, composed by build_queue. It takes a QueueSnapshot and a clock, nothing else, which is why its tests need no mocks. Never let an httpx import reach this module.
  • github.py — the only module that touches the network. Builds the GraphQL, handles HTTP and GraphQL errors, returns domain objects. It must never rank or filter.
  • server.py — a thin MCP adapter: parse arguments, call the client, hand off to the domain layer, serialize. Its own docstring sets a ~120-line budget; exceeding it means logic leaked into the wrong layer.

Read the full file on GitHub · 171 lines

Changes

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.

  1. 9d ago First seen · 171 lines · 2,129 tokens per session scan A 47f12127c4eb

Subscribe to this mod's changes

ReviewQueueMcp CLAUDE.md is an instructions file published in the GitHub repository JigeeshaJain/ReviewQueueMcp (1 stars, last pushed 16d ago), licensed Apache-2.0. It adds 2,129 tokens to every session, about $0.0106 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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