code-review

code-review is a skill for Claude Code from cbrock84/headcount. It costs 72 tokens per session (472 once invoked), scanned A, original, MIT.

A method for reviewing code changes for correctness, design, security, data risks, tests, and possible effects elsewhere in the project.

In plain words
What is it for?
Use it to review a code diff or pull request, assess review feedback, or decide whether a suggested change is safe.
Why use it?
It helps catch serious bugs and unintended side effects before code is merged. It also keeps blocking problems separate from minor style preferences.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the technology plugin — 11 skills shipped together

Good fit Use it to review a code diff or pull request, assess review feedback, or decide whether a suggested change is safe.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cbrock84/headcount/code-review
About the project

headcount is an organization of independently installable Claude Code plugins, each grouping skills for a department such as finance, security, or demand generation. Claude Code users install the departments they need and invoke their skills for specialized work; the catalogue entries are skills and related agent tooling from that organization.

cbrock84/headcount · 2,077 stars · on GitHub · cbrock84.github.io

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 cbrock84/headcount --skill code-review
Clone the repo
git clone --depth 1 https://github.com/cbrock84/headcount

Made for: Claude Code.

Or install technology, the plugin that ships this one along with the rest of its 11 skills.

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/cbrock84/headcount/code-review/github.svg)](https://agentmods.dev/skills/cbrock84/headcount/code-review)
Your own site
<a href="https://agentmods.dev/skills/cbrock84/headcount/code-review"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/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/cbrock84/headcount/code-review"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 472 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 high

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 →

  • high Anti-Refusal · line 33
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 $0.00072 $0.00472
Opus 5.5 $0.00029 $0.00189
Sonnet 5.5 $0.00014 $0.00094
Haiku 4.5 $0.00007 $0.00047

Measured 1mo ago against content hash 539e1580e339, 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.

plugins/technology/skills/code-review/SKILL.md · 43 lines

What it actually says

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.
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 · 43 lines · 72 tokens per session scan A 539e1580e339

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository cbrock84/headcount (2,077 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 472 once invoked, about $0.0003 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 2026-09-03.

Related

Other skills, from other repositories

guidance

Authoritative guidance for building Claude Code skills, agents, and plugins, vendored into this repository. Use when you need the rules or best practices for a skill, agent, hook, or plugin — designing, reviewing, hardening, or checking one against the guidance. Does not run an interview to build a new skill or agent…

testdouble/han · 95 tokens

code-quality

Use when validating code quality after modifications -- SOLID compliance, DRY duplication, linter errors, architecture violations. Do NOT use for functional verification (run verification FIRST, then code-quality).

fusengine/agents · 41 tokens

phase-preview

Preview a signed-off design one release phase at a time — cut it down into a series of phase screens, each showing only what exists by that phase with the layout untouched, then put them on a scrubber you drag to watch the screen fill in release by release. Use when the user wants a Phase 1 / MVP version of an…

Cavalry-Collective/visual-stack · 107 tokens

launch-meta-campaign

Launch a complete Meta Ads campaign — campaign, ad set, and ad(s) — built paused and ready to review. Use when the user wants a new Facebook/Instagram campaign.

markifact/markifact-mcp · 41 tokens

radin-review

Review a commit, PR, directory or range for the simplest native solution, maintainability and documented repo rubrics, triage findings with the user. Use for /radin-review, "review and log to backlog".

shortcuts/radin · 49 tokens

pdlc-refactor

A refactoring workflow for improving a program's internal structure while keeping its observable behavior the same. It uses existing tests, small changes, and repeated test runs to reduce risk.

kanfu-panda/pdlc-skills · 21 tokens