Agent skill

Code Review

by cbrock84 in cbrock84/headcount

Conducts and responds to code review — reviewing a change for correctness, design, and risk, and evaluating review feedback received on your own work.

MITAuto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add cbrock84/headcount --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install cbrock84/headcount 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/cbrock84/headcount.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/technology/skills/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
2k
Token cost
~539 tokens
SKILL.md length
273 words
Files
1
Skills in repo
175
Repo updated
First seen
Licence
MIT

At a glance

Conducts and responds to code review — reviewing a change for correctness, design, and risk, and evaluating review feedback received on your own work.

  • Works in 6 steps: Correctness — does it do what it claims,… → Blast radius — what else consumes this?… → Security and data — untrusted input,… → …
  • Tasks that involve Code review
  • SKILL.md covers Reviewing, Receiving and Never
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Code Review is an agent skill from cbrock84/headcount. Conducts and responds to code review — reviewing a change for correctness, design, and risk, and evaluating review feedback received on your own work. Use this before merging, when asked to review a diff or pull request, when review feedback has arrived and needs acting on, or when feedback seems wrong and needs a reasoned response rather than compliance.

Its SKILL.md is about 540 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. The repository describes itself as: An agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs… The licence is MIT.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “Use the code-review skill to conduct and responds to code review — reviewing a change for correctness, design, and risk, and evaluating review…”
  • “/code-review”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Correctness — does it do what it claims, including at the boundaries and on the error path?
  2. Blast radius — what else consumes this? Signature and schema changes are the ones that break
  3. Security and data — untrusted input, authorization, anything logged or persisted.
  4. Tests — do they pin the new behavior, or do they pass regardless?
  5. Design — will this shape hold under the next change?
  6. Style — last, and only where a linter cannot.

What it can do on your machine

Read from SKILL.md and the folder at commit 98d1c17. 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.

    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 539 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 273 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~539

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

The full file from cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 273 words, ~539 tokens.

Download SKILL.mdSave it as .claude/skills/code-review/SKILL.md (or your agent's skills folder).
name
code-review
description
Conducts and responds to code review — reviewing a change for correctness, design, and risk, and evaluating review feedback received on your own work. Use this before merging, when asked to review a diff or pull request, when review feedback has arrived and needs acting on, or when feedback seems wrong and needs a reasoned response rather than compliance.

Code review

Two directions, one skill: reviewing, and being reviewed.

Reviewing

Read the diff against what the change is for, not against your preferences. Order matters — spend attention where damage is expensive:

  1. Correctness — does it do what it claims, including at the boundaries and on the error path?
  2. Blast radius — what else consumes this? Signature and schema changes are the ones that break things far away.
  3. Security and data — untrusted input, authorization, anything logged or persisted.
  4. Tests — do they pin the new behavior, or do they pass regardless?
  5. Design — will this shape hold under the next change?
  6. Style — last, and only where a linter cannot.

Say which category each comment is, and whether it blocks. A review that mixes a data-loss bug with a naming preference in one undifferentiated list wastes the author's judgment.

Receiving

Feedback is a report of a reader's experience, and that part is always valid — if the reviewer misread it, the code is misleading. The proposed remedy is a separate thing and may be wrong.

  • Verify before implementing. A suggestion that would break behavior gets a reply, not a commit.
  • Disagreeing is fine; ignoring is not. Answer every comment: changed, or why not.
  • Do not batch-accept. Applying every suggestion without judgment is how good code becomes incoherent.
  • Where a reviewer is factually wrong, show the evidence — the test, the spec, the failing case — rather than asserting.

Never

  • Approve your own work, or a change you authored under another name.
  • Leave a blocking comment without saying what would unblock it.
  • Rewrite the author's approach in a review comment. Propose it, and let them decide.

© cbrock84, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/technology/skills/code-review of cbrock84/headcount.

Open the folder on GitHubat commit 98d1c17

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 skillcbrock84/headcount2k—~539Automated safety check: PassMIT
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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Categories

Questions about Code Review

What does Code Review do?

Conducts and responds to code review — reviewing a change for correctness, design, and risk, and evaluating review feedback received on your own work. Code Review is an agent skill from cbrock84/headcount. Conducts and responds to code review — reviewing a change for correctness, design, and risk, and evaluating review feedback received on your own work.

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 cbrock84/headcount --skill code-review -a claude-code`. Or copy the skill folder (plugins/technology/skills/code-review in cbrock84/headcount) 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 cbrock84/headcount --skill code-review -a codex`. Or copy the skill folder (plugins/technology/skills/code-review in cbrock84/headcount) 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 cbrock84/headcount --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.

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?

Code Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Code Review use?

About 539 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?

cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,007 GitHub stars. The repository holds 175 skills in this directory. The repository was last updated on September 17, 2026.

Source: cbrock84/headcount on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.