code-review

code-review is a skill for Claude Code, Codex from HumanDealer/vibeproof. It costs 24 tokens per session (457 once invoked), scanned A, original, MIT.

A structured review skill for checking a code change before it is merged. It looks for correctness problems, security risks, unsafe data changes, and unnecessary complexity.

In plain words
What is it for?
Reviewing pull requests or diffs, checking edge cases and error handling, finding injection and secret-leak risks, and identifying unsafe writes, deletes, or migrations.
Why use it?
It helps catch bugs and dangerous behavior that style checks may miss before the change reaches production.

Skill for Claude CodeCodex

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

Good fit Reviewing pull requests or diffs, checking edge cases and error handling, finding injection and secret-leak risks, and identifying unsafe writes, deletes, or migrations.

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

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/humandealer/vibeproof/code-review.svg)](https://agentmods.dev/skills/humandealer/vibeproof/code-review)
Your own site
<a href="https://agentmods.dev/skills/humandealer/vibeproof/code-review"><img src="https://agentmods.dev/badge/skills/humandealer/vibeproof/code-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 457 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.
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 $0.00024 $0.00457
Opus 5 $0.00012 $0.00229
Sonnet 5 $0.00005 $0.00091
Haiku 4.5 $0.00002 $0.00046

Measured 8d ago against content hash db1616e50aa2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 8d 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.

skills/code-review/SKILL.md · 55 lines

What it actually says

Code Review

Review a diff the way a careful senior would — looking for what will break in production, not just style. Be specific: cite file and line, explain the failure, propose the fix.

When to use

Before merging any non-trivial PR, or when the human asks to "review this", "check my diff", or "is this safe to merge".

What to review

Run git diff origin/main...HEAD (or the PR diff) and check each dimension:

1. Correctness

  • Edge cases: empty input, null, zero, very large values, unicode.
  • Off-by-one, boundary conditions, loop termination.
  • Error handling: are failures caught and surfaced, or swallowed?
  • Does the change actually do what the PR says?

2. Safety

  • Secrets: nothing sensitive in the diff (rules/security-and-secrets.md).
  • Injection: untrusted input concatenated into SQL / shell / HTML?
  • Trust boundaries: is external/user data validated before use?
  • Permissions: least privilege respected?

3. Side effects & data

  • Does a conditional path have an unexpected write / delete / external call?
  • Any irreversible operation (drop, overwrite, mass update) without a guard?
  • Migration / schema change that's not backward compatible?

4. Simplicity & reuse

  • Is there a simpler way that's just as correct?
  • Duplicated logic that should be shared?
  • Dead code, leftover debug prints, commented-out blocks?

5. Tests

  • Does the change have tests? Do they cover the failure modes, not just happy path? Did they actually run and pass?

Output

For each finding: severity (blocker / should-fix / nit), location (file:line), what's wrong, suggested fix. End with a clear verdict: ready to merge or needs changes.

Default to caution on anything touching auth, money, data deletion, or external side effects.

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. 8d ago First seen · 55 lines · 24 tokens per session scan A db1616e50aa2

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository HumanDealer/vibeproof (2 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 457 once invoked, about $0.0001 per session on Opus 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 2026-08-31.

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