review-pr

review-pr is a skill for Claude Code, Codex from Terry-Mao/AICodingFlow. It costs 56 tokens per session (882 once invoked), scanned A, original, MIT.

An offline workflow for reviewing a GitHub pull request from saved text files containing its description, code changes, and optional specification context. It writes the review findings to a file named review.json instead of posting them online.

In plain words
What is it for?
Use it to check code or mixed-content changes for correctness, security, errors, performance, maintainability, tests, and whether documentation matches the implementation.
Why use it?
It makes reviews repeatable without depending on live GitHub data or changing the repository. It also gives an automated job or bot a structured review result to validate and use.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/terry-mao/aicodingflow/review-pr
Any agent
npx skills add Terry-Mao/AICodingFlow --skill review-pr
Clone the repo
git clone --depth 1 https://github.com/Terry-Mao/AICodingFlow

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for review-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/terry-mao/aicodingflow/review-pr.svg)](https://agentmods.dev/skills/terry-mao/aicodingflow/review-pr)
Your own site
<a href="https://agentmods.dev/skills/terry-mao/aicodingflow/review-pr"><img src="https://agentmods.dev/badge/skills/terry-mao/aicodingflow/review-pr.svg" alt="Measured on agentmods" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 882 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00056 $0.00882
Opus 5 $0.00028 $0.00441
Sonnet 5 $0.00011 $0.00176
Haiku 4.5 $0.00006 $0.00088

Measured 4d ago against content hash 94b7ec4264f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

review-pr 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_review_json.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.github/skills/review-pr/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

review-pr

Review one code or mixed-content PR from stable local snapshot files and write the single output artifact review.json.

Required Contract

Read .agents/contracts/review.md first and follow it exactly. That contract is authoritative for snapshot trust, untrusted-input handling, PR_DIFF_V1 targeting, review.json structure, severity labels, suggestion blocks, validator requirements, and GitHub/API boundaries.

Do not run gh, post comments, regenerate snapshots, or modify files other than review.json.

Applicability

Use this skill for PRs where implementation correctness, security, error handling, performance, maintainability, tests, or docs-vs-code consistency need review.

For docs-only PRs outside specs/, review whether the docs match code, examples, defaults, behavior, and validation instructions. Do not invent implementation findings when the diff only changes documentation.

Local Guidance

After applying the shared contract, read .github/skills/review-pr-repo/SKILL.md when it exists and apply any non-conflicting repository-specific guidance.

When spec_context.md exists, read .github/skills/check-impl-against-spec/SKILL.md and treat material spec drift as a review concern.

Always read .github/skills/security-review-pr/SKILL.md and apply it as a non-conflicting supplemental security pass on code and mixed PRs. Fold any security findings into the same review.json; do not emit a separate output.

Review Focus

Prioritize concrete findings:

  • correctness defects
  • security risks
  • exception and error handling gaps
  • performance risks
  • maintainability issues with clear impact
  • documentation changes that disagree with code, examples, defaults, or behavior
  • test changes that miss important assertions, over-mock behavior, or skip risky paths

Ignore pure style unless you can provide an exact GitHub suggestion. Put issues that cannot be attached to changed lines, such as missing tests or docs, in top-level body.

Read the full file on GitHub · 98 lines

Files

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.

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. 4d ago First seen · 98 lines · 56 tokens per session scan A 94b7ec4264f8

Subscribe to this mod's changes

review-pr is a skill published in the GitHub repository Terry-Mao/AICodingFlow (165 stars, last pushed 6d ago), licensed MIT. It adds 56 tokens to every session and 882 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 2026-08-30.

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