Agent skill

Code Review

by RedWoodOG in RedWoodOG/Hermes-Desktop

Guidelines for performing thorough code reviews with security and quality focus

No licenceAuto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add RedWoodOG/Hermes-Desktop --skill code-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install RedWoodOG/Hermes-Desktop code-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/RedWoodOG/Hermes-Desktop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/software-development/code-review .claude/skills/code-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
code-review
GitHub stars
177
Token cost
~553 tokens
SKILL.md length
197 words
Files
1
Skills in repo
62
Repo updated
First seen
Licence
None found

At a glance

Guidelines for performing thorough code reviews with security and quality focus

  • Works in 4 steps: Security First → Error Handling → Code Quality → …
  • Tasks that involve Code review
  • SKILL.md covers Review Checklist, Review Response Format, Common Patterns to Flag and Tone Guidelines
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Code Review is an agent skill from RedWoodOG/Hermes-Desktop. Guidelines for performing thorough code reviews with security and quality focus

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code review.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “Use the code-review skill to guideline for performing thorough code reviews with security and quality focus”
  • “/code-review”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Security First
  2. Error Handling
  3. Code Quality
  4. Testing Considerations

What it can do on your machine

Read from SKILL.md and the folder at commit be46b39. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python and javascript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Code Review loads about 553 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 197 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~553

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 197 words (~553 tokens).

“Use this skill when reviewing code changes, pull requests, or auditing existing code.”

— opening of SKILL.md by RedWoodOG
name
code-review

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/software-development/code-review of RedWoodOG/Hermes-Desktop.

Open the folder on GitHubat commit be46b39

Compare with similar skills

Code Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Code Review this skillRedWoodOG/Hermes-Desktop177—~553Automated safety check: PassNone
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow156k—~3.5kAutomated safety check: NotesMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything86k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0

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  • PR Babysitter

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    69k GitHub starsUsed in 3 repos~4.2k tokens
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  • Code Review Checklist

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    Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

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    156k GitHub stars~3.5k tokensUpdated today
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  • Understand Diff Analysis

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    86k GitHub starsUsed in 1 repo~1.4k tokens
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    70k GitHub stars~2k tokensUpdated today
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  • Backend Code Review

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Categories

Questions about Code Review

What does Code Review do?

Guidelines for performing thorough code reviews with security and quality focus. Code Review is an agent skill from RedWoodOG/Hermes-Desktop.

When should I use Code Review?

Code Review fits situations like: tasks that involve Code review.

How do I install Code Review in Claude Code?

Run `npx skills add RedWoodOG/Hermes-Desktop --skill code-review -a claude-code`. Or copy the skill folder (skills/software-development/code-review in RedWoodOG/Hermes-Desktop) into .claude/skills/code-review in your project. Claude Code loads it when a task matches its description.

How do I install Code Review in Codex?

Run `npx skills add RedWoodOG/Hermes-Desktop --skill code-review -a codex`. Or copy the skill folder (skills/software-development/code-review in RedWoodOG/Hermes-Desktop) into .agents/skills/code-review in your project. Codex loads it when a task matches its description.

Can I use Code Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add RedWoodOG/Hermes-Desktop --skill code-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-review, .gemini/skills/code-review, .github/skills/code-review and .opencode/skills/code-review in your project.

What does Code Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Code Review is instructions for the agent only. Our summary lists: Python 3.

Does Code Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Code Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Code Review use?

No licence was found for Code Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Code Review use?

About 553 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Code Review?

Skills that share tags, products or a category with Code Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 156k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review?

RedWoodOG (a GitHub user) maintains it in RedWoodOG/Hermes-Desktop, which has 177 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on May 30, 2026.

Source: RedWoodOG/Hermes-Desktop on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.