pr-review

pr-review is a command for coding agents from Lab94/frenchie-skill. It costs 0 tokens per session (581 once invoked), scanned A, original, MIT.

A code-review command that examines the implemented result and compares it with the project’s requirements and planning documents.

In plain words
What is it for?
Use it to review a pull request, list blocking findings, assess release risk, and produce a weighted quality score.
Why use it?
It helps find bugs, regressions, missing tests, security or privacy problems, and differences between the plan and the code.

Command

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 commands/lab94/frenchie-skill/pr-review
Clone the repo
git clone --depth 1 https://github.com/Lab94/frenchie-skill

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 pr-review

README.md
[![agentmods](https://agentmods.dev/badge/commands/lab94/frenchie-skill/pr-review.svg)](https://agentmods.dev/commands/lab94/frenchie-skill/pr-review)
Your own site
<a href="https://agentmods.dev/commands/lab94/frenchie-skill/pr-review"><img src="https://agentmods.dev/badge/commands/lab94/frenchie-skill/pr-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 581 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 $0.00000 $0.00581
Opus 5 $0.00000 $0.00291
Sonnet 5 $0.00000 $0.00116
Haiku 4.5 $0.00000 $0.00058

Measured 3d ago against content hash bada4ef022db, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-review 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 3d 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.

method/commands/pr-review.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/pr-review

Review the actual result first, then compare against Method artifacts.

Prioritize bugs, regressions, missing tests, security/privacy issues, artifact drift, and release risk. Include a quality score and a security section. If implementation diverges from artifacts, ask whether to update artifacts or change code back.

Aliases: /review-pr, /frenchie-pr-review.

Weighted Quality Score

Score evidence, not vibes:

Category Weight
Correctness 35% Behavior matches requirements and acceptance criteria; no obvious regressions.
Code Quality 25% Fits local patterns, is maintainable, small enough to review, and avoids unnecessary abstraction.
Test Coverage 20% Meaningful automated/manual coverage for happy paths, edge cases, regression, and risk areas.
Security 10% Auth/authz, privacy, input handling, secrets, and abuse paths are addressed.
Documentation 10% Method artifacts, changelog/docs, comments, and user-facing copy are updated where needed.

Decision thresholds:

  • 90-100 Excellent
  • 80-89 Approved
  • 60-79 Request Changes
  • <60 Rework

Always list blocking findings before the score summary.

Artifact Contract

/pr-review must produce or update 08-review-report.md in the active feature folder. Replying in chat alone is not enough — /method-check, /redo cascade, and downstream consumers rely on the artifact being on disk.

Required 08-review-report.md sections:

Scope

Files, commits, branches, and the artifact set the diff was compared against. Note exclusions.

Blocking Findings

Severity-ordered list. Each finding cites file:line, the AC-NNN it relates to (if applicable), expected vs observed behavior, and the recommended fix.

Quality Score

The weighted score table above, filled in with values + the decision tier.

Security

Map findings to OWASP Web Top 10, OWASP API Top 10 (2023), or STRIDE per references/security-review-frameworks.md. State explicitly when no security-relevant changes were touched.

Read the full file on GitHub · 75 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. 3d ago First seen · 75 lines · 0 tokens per session scan A bada4ef022db

Subscribe to this mod's changes

pr-review is a command published in the GitHub repository Lab94/frenchie-skill (0 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 581 tokens. 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.