code-review

code-review is a skill for Claude Code, Codex from fabriqaai/specs.md. It costs 30 tokens per session (2,149 once invoked), scanned A, original, MIT.

A code-review step that examines files changed during a development run after tests pass. It can apply simple mechanical fixes and lists improvements that need the user’s decision.

In plain words
What is it for?
Use it to review changed JavaScript, TypeScript, Go, or Python files against the project’s configured linting and formatting tools. It can fix straightforward issues and suggest larger improvements.
Why use it?
It catches common style and tooling problems while separating safe automatic corrections from changes that could alter behavior.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review changed JavaScript, TypeScript, Go, or Python files against the project’s configured linting and formatting tools. It can fix straightforward issues and suggest larger improvements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fabriqaai/specs.md/code-review
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 fabriqaai/specs.md --skill code-review
Clone the repo
git clone --depth 1 https://github.com/fabriqaai/specs.md

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-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/fabriqaai/specs.md/code-review/github.svg)](https://agentmods.dev/skills/fabriqaai/specs.md/code-review)
Your own site
<a href="https://agentmods.dev/skills/fabriqaai/specs.md/code-review"><img src="https://agentmods.dev/badge/skills/fabriqaai/specs.md/code-review/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-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/fabriqaai/specs.md/code-review"><img src="https://agentmods.dev/badge/skills/fabriqaai/specs.md/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,149 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 76
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00030 $0.02149
Opus 5.5 $0.00012 $0.00860
Sonnet 5.5 $0.00006 $0.00430
Haiku 4.5 $0.00003 $0.00215

Measured 2mo ago against content hash 77df04d6f091, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-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 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.

src/flows/fire/agents/builder/skills/code-review/SKILL.md · 258 lines

How it starts

The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<degrees_of_freedom>

  • AUTO-FIX: LOW — Only mechanical, non-semantic changes
  • SUGGESTIONS: MEDIUM — Present options, let user decide </degrees_of_freedom>

<input_context> The skill receives from run-execute:

files_created:
  - path: src/auth/login.ts
    purpose: Login endpoint handler
  - path: src/auth/login.test.ts
    purpose: Unit tests for login

files_modified:
  - path: src/routes/index.ts
    changes: Added login route

run_id: run-fabriqa-2026-001
intent_id: user-auth

</input_context>

<references_index> </references_index>

<action>Detect project tooling:</action>
<substep>Check for .eslintrc, eslint.config.js (JavaScript/TypeScript)</substep>
<substep>Check for .prettierrc (formatting)</substep>
<substep>Check for golangci.yml (Go)</substep>
<substep>Check for pyproject.toml, ruff.toml (Python)</substep>

<action>Read each file to be reviewed</action>

<output>Reviewing {file_count} files...</output>
<check if="golangci config exists">
  <action>Run: golangci-lint run --fix {files}</action>
  <action>Parse output for remaining issues</action>
</check>

<check if="ruff/pyproject config exists">
  <action>Run: ruff check --fix {files}</action>
  <action>Parse output for remaining issues</action>
</check>

<check if="no linter configured">
  <action>Use built-in review rules from references/review-categories.md</action>
</check>
<action>Classify each finding using references/auto-fix-rules.md:</action>
<substep>AUTO-FIX: Mechanical, non-semantic, reversible, tests won't break</substep>
<substep>CONFIRM: Behavioral change, security implication, judgment required</substep>

<action>Group findings by category and severity</action>

Read the full file on GitHub · 258 lines

Files

What ships with it

3 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. 2mo ago First seen · 258 lines · 30 tokens per session scan A 77df04d6f091

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository fabriqaai/specs.md (225 stars, last pushed 3d ago), licensed MIT. It adds 30 tokens to every session and 2,149 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 2026-08-30.

Related

code-review compared with skills from other repositories

code-review next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
code-reviewfabriqaai/specs.mdSkill2253d agoMITA30Claude Code, Codex
code-reviewgithub/spec-kitSkill148kyesterdayMITA54Claude Code
review-prsgoogleapis/mcp-toolboxSkill17kyesterdayApache-2.0A162Claude Code, Codex
review-trtmc-prNVIDIA/TensorRT-Model-ConnectSkill289yesterdayApache-2.0A105Codex
pr-babysitterNVIDIA/TensorRT-Model-ConnectSkill289yesterdayApache-2.0A48Codex
submit-github-prNVIDIA/TensorRT-Model-ConnectSkill289yesterdayApache-2.0A58Codex
write-git-messagesNVIDIA/TensorRT-Model-ConnectSkill289yesterdayApache-2.0A75Codex