code-review

code-review is a skill for Claude Code, Codex from liza-mas/liza. It costs 43 tokens per session (5,599 once invoked), scanned A, original, Apache-2.0.

A two-sided process for reviewing code changes, where reviewers report problems and authors respond to them. It covers both raising findings and answering review feedback.

In plain words
What is it for?
Use it when reviewing staged changes, pull requests, commits, or pending work, and when responding to review comments or a rejected review.
Why use it?
It gives everyone a shared way to decide how serious a finding is and what would resolve it.

Skill for Claude CodeCodex

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

Good fit Use it when reviewing staged changes, pull requests, commits, or pending work, and when responding to review comments or a rejected review.

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

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/liza-mas/liza/code-review/github.svg)](https://agentmods.dev/skills/liza-mas/liza/code-review)
Your own site
<a href="https://agentmods.dev/skills/liza-mas/liza/code-review"><img src="https://agentmods.dev/badge/skills/liza-mas/liza/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/liza-mas/liza/code-review"><img src="https://agentmods.dev/badge/skills/liza-mas/liza/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,599 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
SkillSpector: 1 finding, up to low

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 →

  • low Excessive Agency · line 117
    Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.
    Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 $0.00043 $0.05599
Opus 5.5 $0.00017 $0.02240
Sonnet 5.5 $0.00009 $0.01120
Haiku 4.5 $0.00004 $0.00560

Measured 1mo ago against content hash 85309e53ca9a, 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.

skills/code-review/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code review is risk mitigation, not gatekeeping — catching what the author couldn't see, and occasionally sharing a better pattern when it genuinely helps.

Two-sided protocol. Reviewers load it to raise findings; authors load it to answer them. Both sides read the whole file — a contested finding converges only when both agree what [blocker] means and what closes one. Everything through Review Summary Format is shared; Answering Findings is author-side.

Review Context

Before reviewing, establish context:

  • Scope: Default to staged files (git diff --cached --name-only, then git diff --cached --stat, then targeted path diffs). For PRs or commits, inspect changed files and stats before reading targeted hunks. Only broaden if explicitly asked.
  • Local working tree: For local reviews, triage unstaged and untracked files before review. If related but not staged, surface this explicitly and include only if the review target is "pending changes"; if unrelated, ignore; if unclear, ask before including.
  • Initial scope: Before reading the diff, record in one line what the change set out to do — take it from the author's stated intent when supplied (Pairing: Change Summary; multi-agent: task description and done-when; PRs: description and linked ticket), derive it only when it is not, and clarify with the author when it is unclear. This is the anchor for every later round: it bounds which behavior is required, not which code is inspected. Every submitted line is still reviewed for P0-P2 defects. Work beyond the initial scope is scope creep, not thoroughness — review it, then flag it [overreach].
  • Timing: Is now the right time for this functionality? Half-baked or premature additions warrant a [question].
  • Approach: Round 1 only. Is the approach sound, not merely correct — would another team take this shape, and was the first workable rung of CORE's Minimality Ladder taken? Raise an alternative only when it is named and its benefit demonstrable (have-you-considered); "I'd have done it differently" is not a finding. [question] when exploratory, [concern] when materially cheaper and still cheap to switch. After round 1 the approach is settled — reopening it is relitigation.
  • Absence: Review what should be here and is not. Take the baseline from the author's declarations (Pairing: Change Summary success criteria, doc impact, test impact; multi-agent: done-when) and check each against the diff. Diff-first reading optimizes for what is present; absence has to be sought deliberately. Where no declarations exist, say so — it caps confidence.
  • Diff-first: Read bounded diff context before source files. Prefer name-only/stat first, then targeted path or hunk diffs. Only read source when a finding needs surrounding context. Never pre-read the entire codebase.
  • Sources: State what you have read before drawing conclusions, per CORE Rule 5, and extend it as you read. The summary line reports this list; it does not create it. A conclusion reached before its source was read is not grounded by reading that source afterwards.
  • Size: Beyond 800 lines, 20 files, 80K chars total, or 20K chars in one file — large diffs hide bugs. Consider suggesting a split (PR) or incremental commits (pending); avoid unbounded full-diff reads, classify files and inspect targeted paths or hunks, and verify critical findings against source before tagging [blocker] or [concern].
  • Reviewer limits: If reviewing outside your expertise, say so. Make assumptions explicit.

Read the full file on GitHub · 346 lines

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 Changed · +1 lines 85309e53ca9a
  2. 1mo ago First seen · 345 lines · 43 tokens per session scan A 013fd74a2525

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository liza-mas/liza (410 stars, last pushed today), licensed Apache-2.0. It adds 43 tokens to every session and 5,599 once invoked, about $0.0002 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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