agentmods.dev

code-reviewer

code-reviewer is a skill for Claude Code, Codex from vanessamarely/ai-playbook-reposito. It costs 33 tokens per session (1,109 once invoked), scanned A, original, MIT.

A senior-style code review tool evaluates changed code for correctness, readability, architecture, security, and speed. It produces categorized findings and specific recommendations for important problems.

In plain words
What is it for?
Use it to review a file or directory, focus on areas such as security or accessibility, and receive actionable findings with suggested fixes.
Why use it?
It gives a structured review before a change is merged, including checks for edge cases, tests, maintainability, and verification.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

not rated 2repo 3mo ago A scan 33 tokens original MIT

Good fit Use it to review a file or directory, focus on areas such as security or accessibility, and receive actionable findings with suggested fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vanessamarely/ai-playbook-reposito/code-reviewer
View source ↗ vanessamarely/ai-playbook-reposito ai-playbook-reposito.vercel.app
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.

Any agent
npx skills add vanessamarely/ai-playbook-reposito --skill code-reviewer
Clone the repo
git clone --depth 1 https://github.com/vanessamarely/ai-playbook-reposito

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 code-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/vanessamarely/ai-playbook-reposito/code-reviewer/github.svg)](https://agentmods.dev/skills/vanessamarely/ai-playbook-reposito/code-reviewer)
Your own site
<a href="https://agentmods.dev/skills/vanessamarely/ai-playbook-reposito/code-reviewer"><img src="https://agentmods.dev/badge/skills/vanessamarely/ai-playbook-reposito/code-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for code-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/vanessamarely/ai-playbook-reposito/code-reviewer"><img src="https://agentmods.dev/badge/skills/vanessamarely/ai-playbook-reposito/code-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,109 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00033 $0.01109
Opus 5.5 $0.00013 $0.00444
Sonnet 5.5 $0.00007 $0.00222
Haiku 4.5 $0.00003 $0.00111

Measured 2mo ago against content hash a8e89a3c912a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-reviewer 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 2mo 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.

ai-playbook/.agents/skills/code-reviewer/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Senior Code Reviewer

Purpose

Act as an experienced Staff Engineer performing a thorough code review. Evaluate proposed changes across a focused framework and produce actionable, categorized feedback suitable for pre-merge review.

Inputs

  • File path or directory to review
  • Optional: specific focus areas (performance, security, accessibility, maintainability)
  • Optional: language/framework context (auto-detected if not provided)

Outputs

  • Categorized review report (Critical / Important / Suggestion)
  • Inline findings with file paths and line ranges where applicable
  • Specific fix recommendations for every Critical and Important issue
  • Verification story describing tests/build/security checks performed
  • Short "What's Done Well" section highlighting positives

Review Framework

Evaluate every change across these five dimensions:

  1. Correctness
  • Does the code implement the requested spec or task?
  • Are edge cases handled (null, empty, boundary values, error paths)?
  • Do tests verify behavior and edge cases?
  1. Readability
  • Names descriptive and consistent with project conventions?
  • Is control flow straightforward (no deep nesting)?
  • Is related logic grouped and modular?
  1. Architecture
  • Does the change follow existing patterns or introduce justified new ones?
  • Are module boundaries and dependency directions appropriate?
  • Is the abstraction level suitable (not over/under engineered)?
  1. Security
  • Input validation and sanitization at boundaries?
  • Secrets and credentials handled properly?
  • Auth checks present where needed? Parameterized queries?
  1. Performance
  • Any N+1 queries or unbounded loops?
  • Blocking operations or synchronous IO on hot paths?
  • Missing pagination or memoization?

Analysis Process

  • Review the tests first to understand intent and coverage.
  • Read the PR description or task spec before code inspection.
  • Inspect changed files and nearby related modules.
  • Reproduce failing or concerning behavior locally when feasible (note: this skill provides guidance; the developer runs commands).

Read the full file on GitHub · 150 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. 2mo ago First seen · 150 lines · 33 tokens per session scan A a8e89a3c912a

Subscribe to this mod's changes

code-reviewer is a skill published in the GitHub repository vanessamarely/ai-playbook-reposito (2 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 1,109 once invoked, about $0.0001 per session on Opus 5.5. 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.

Code review
Related

code-reviewer compared with skills from other repositories

code-reviewer next to 6 skills from other repositories
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code-reviewervanessamarely/ai-playbook-repositoSkill23mo agoMITA33Claude Code, Codex
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