review-document

review-document is a skill for Claude Code, Codex from mixpanel/ai-plugins. It costs 158 tokens per session (1,332 once invoked), scanned A, original, Apache-2.0.

A documentation review workflow that scores project documents against a weighted quality checklist.

In plain words
What is it for?
Use it to review README files, instruction files, documentation folders, guides, and reference material, then produce a percentage score and prioritised issues.
Why use it?
It helps reveal documentation that is inaccurate, outdated, repetitive, poorly structured, or difficult to navigate by checking it against the code and defined review criteria.

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/mixpanel/ai-plugins/review-document
Any agent
npx skills add mixpanel/ai-plugins --skill review-document
Clone the repo
git clone --depth 1 https://github.com/mixpanel/ai-plugins

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-document

README.md
[![agentmods](https://agentmods.dev/badge/skills/mixpanel/ai-plugins/review-document.svg)](https://agentmods.dev/skills/mixpanel/ai-plugins/review-document)
Your own site
<a href="https://agentmods.dev/skills/mixpanel/ai-plugins/review-document"><img src="https://agentmods.dev/badge/skills/mixpanel/ai-plugins/review-document.svg" alt="Measured on agentmods" height="20"></a>
Per session 158 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,332 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 $0.00158 $0.01332
Opus 5 $0.00079 $0.00666
Sonnet 5 $0.00032 $0.00266
Haiku 4.5 $0.00016 $0.00133

Measured 3d ago against content hash 4e65e354eeaa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

review-document 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.

.claude/skills/review-document/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Documentation Review

Reviews a documentation set against a rubric and produces a percentage score plus a prioritised list of issues to fix. This is a read-only review — report, then offer a fix plan.

The first duty of docs is to be true: accuracy against the actual code is weighted highest and verified, not assumed. Beyond accuracy, docs must be current, concise, and navigable — every paragraph that restates the obvious competes with the one that carries the load. Score conservatively (see Scoring discipline).


Components

Rubric dimensions

The rubric evaluates 8 weighted dimensions. Read references/rubric.md for the full check definitions when running the evaluation.

# Dimension Weight
1 Accuracy & Currency 20%
2 Structure & Readability 15%
3 Conciseness & DRY 15%
4 Altitude & Scope 10%
5 Completeness & Navigability 10%
6 Clarity & Communication 10%
7 Consistency & Conventions 10%
8 Examples, Links & Commands 10%

Dimensions 3 and 4 carry the /simplify lens — duplication, filler, and wrong-altitude detail — applied to prose.

Scoring

Each check is scored PASS (1.0), WARN (0.5), FAIL (0.0), or N/A (excluded). All checks have equal weight within their dimension. See references/rubric.md for the full scoring formula and score caps.

Score Meaning
95-100% Accurate and polished — ready to publish
85-94% Minor issues — fix before publishing
70-84% Significant issues — needs rework
50-69% Major gaps or inaccuracy
0-49% Largely stale or misleading — rewrite

Reviewer stance

The review must reflect a demanding reviewer, not a generous one. Adopt the stance of a seasoned editor or investigative journalist: assume the author is beside you and will push back, so go after the single weakest claim, not the average. Nothing earns praise by default; the doc earns each PASS.

Read the full file on GitHub · 105 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. 3d ago First seen · 105 lines · 158 tokens per session scan A 4e65e354eeaa

Subscribe to this mod's changes

review-document is a skill published in the GitHub repository mixpanel/ai-plugins (15 stars, last pushed 9d ago), licensed Apache-2.0. It adds 158 tokens to every session and 1,332 once invoked, about $0.0008 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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