code-review

code-review is a skill for Claude Code, Codex from omnigentx/jarvis. It costs 12 tokens per session (450 once invoked), scanned A, original, MIT.

A protocol for reviewing code and giving a consistent decision about its quality and readiness. It checks whether the code works, is maintainable, handles unusual cases, and avoids obvious security or performance problems.

In plain words
What is it for?
Use it to understand the intended change, inspect relevant files, record a summary and recommendations in a review document, and finish with a pass-or-fix verdict.
Why use it?
It gives reviews a repeatable structure and makes findings easier to act on, with specific issues and file or line references.

Skill for Claude CodeCodex

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

Good fit Use it to understand the intended change, inspect relevant files, record a summary and recommendations in a review document, and finish with a pass-or-fix verdict.

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

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/omnigentx/jarvis/code-review/github.svg)](https://agentmods.dev/skills/omnigentx/jarvis/code-review)
Your own site
<a href="https://agentmods.dev/skills/omnigentx/jarvis/code-review"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/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/omnigentx/jarvis/code-review"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 450 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 pass 7 Sept 2026
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 $0.00012 $0.00450
Opus 5.5 $0.00005 $0.00180
Sonnet 5.5 $0.00002 $0.00090
Haiku 4.5 $0.00001 $0.00045

Measured 1mo ago against content hash 28a1fb958292, 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 1mo 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.

backend/.fast-agent/skills/code-review/SKILL.md · 62 lines

What it actually says

Code Review Skill

You are performing a code review. Follow this protocol for consistent, actionable feedback.

Review Process

Step 1: Understand the Context

  • Read the project brief and any related documentation in the workspace
  • Understand what the author was trying to accomplish
  • Check team_roster.json to know who wrote what

Step 2: Review the Code

  • Read all relevant files in the workspace
  • Check for:
    • Correctness — Does the code do what it's supposed to?
    • Quality — Is it readable, maintainable, well-structured?
    • Edge cases — Are there unhandled scenarios?
    • Security — Any obvious security issues?
    • Performance — Any obvious performance problems?

Step 3: Write Your Review

Write your review to: reviews/<step_name>_review.md

Include:

  1. Summary — Overall assessment
  2. Issues found — Specific problems with file/line references
  3. Suggestions — Improvements that aren't blockers
  4. Verdict — Your final decision

Step 4: Declare Verdict

Always end your review with one of these exact strings:

✅ When code is acceptable:

[DECISION] VERDICT: PASS — <brief reason>

❌ When code needs fixes:

[DECISION] VERDICT: FAIL — <brief reason with key issues>

Communication

After writing your review:

  • Use send_email(to="<author_name>", body="...", my_name="<your_name>") to notify the author
  • Include a summary of key issues if FAIL
  • Be constructive — suggest fixes, don't just point out problems

As a Code Author (receiving review)

When you receive a FAIL verdict:

  1. Read the review feedback carefully
  2. Fix the identified issues in your workspace files
  3. Message the reviewer: send_email(to="<reviewer_name>", body="Fixes applied, ready for re-review", my_name="<your_name>")
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. 1mo ago First seen · 62 lines · 12 tokens per session scan A 28a1fb958292

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository omnigentx/jarvis (39 stars, last pushed 4d ago), licensed MIT. It adds 12 tokens to every session and 450 once invoked, about $0.0000 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.

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