doc-code-review-report

doc-code-review-report is a skill for Claude Code, Codex from penwyp/ClaudePreference. It costs 91 tokens per session (1,174 once invoked), scanned A, original, MIT.

A review skill that checks a written document or requirements against the actual codebase and produces an evidence-based report.

In plain words
What is it for?
Use it to review requirements, API documents, design notes, pull-request text, or Markdown against routes, handlers, services, frontend state, and backend requests.
Why use it?
It separates confirmed bugs and mismatches from guesses by tracing the real code paths behind the documented behavior.

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/penwyp/claudepreference/doc-code-review-report
Any agent
npx skills add penwyp/ClaudePreference --skill doc-code-review-report
Clone the repo
git clone --depth 1 https://github.com/penwyp/ClaudePreference

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 doc-code-review-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/penwyp/claudepreference/doc-code-review-report.svg)](https://agentmods.dev/skills/penwyp/claudepreference/doc-code-review-report)
Your own site
<a href="https://agentmods.dev/skills/penwyp/claudepreference/doc-code-review-report"><img src="https://agentmods.dev/badge/skills/penwyp/claudepreference/doc-code-review-report.svg" alt="Measured on agentmods" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,174 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 $0.00091 $0.01174
Opus 5 $0.00046 $0.00587
Sonnet 5 $0.00018 $0.00235
Haiku 4.5 $0.00009 $0.00117

Measured 4d ago against content hash fdb2d1686879, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

doc-code-review-report 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.

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.

skills/doc-code-review-report/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Doc Code Review Report

Overview

Review the user's text or document as a claim source, then verify those claims against the real codebase. Produce an evidence-backed review report, not a summary, and separate confirmed issues from inference.

Read references/report-template.md only when you need a ready-made report scaffold.

Workflow

  1. Normalize the review input.
  • Accept plain text, Markdown, notes, PR descriptions, API docs, or design documents.
  • Extract concrete claims: intended behavior, request flow, data fields, state changes, error handling, and unfinished work markers.
  • If the input is broad, narrow it to the specific flow, module, or interface under review.
  1. Locate the implementation before judging it.
  • Find the real entry points first: routes, pages, handlers, services, schedulers, workers, repositories, generated clients, OpenAPI specs, or protocol types.
  • Prefer concrete call paths over keyword-level guesses.
  • If the document describes a frontend flow, trace both UI state transitions and backend requests.
  1. Verify behavior claim by claim.
  • Check whether the implemented logic matches the stated requirement or document claim.
  • Distinguish:
    • documented but not implemented
    • implemented but undocumented
    • implemented differently from the document
    • behavior cannot be confirmed from current code
  1. Review for correctness and bug risk.
  • Look for broken conditions, missing branches, invalid assumptions, stale state, race windows, missing null or empty handling, unchecked errors, and inconsistent data transformations.
  • Treat "works on happy path only" as a real finding when failure branches are absent or contradicted by the input document.
  1. Cross-check frontend and backend contracts when the flow crosses layers.
  • Confirm method, path, path params, query params, body fields, enum values, response fields, and error shapes.
  • Compare frontend request builders, generated API clients, backend handlers, service DTOs, protocol definitions, and local OpenAPI or schema files.
  • Flag mismatches such as renamed fields, optional-vs-required drift, type drift, enum drift, and response shape assumptions unsupported by backend code.

Read the full file on GitHub · 107 lines

Files

What ships with it

2 files 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 · 107 lines · 91 tokens per session scan A fdb2d1686879

Subscribe to this mod's changes

doc-code-review-report is a skill published in the GitHub repository penwyp/ClaudePreference (137 stars, last pushed 3mo ago), licensed MIT. It adds 91 tokens to every session and 1,174 once invoked, about $0.0005 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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