code-review

code-review is a skill for Claude Code, Codex from KaydenClark/LLM_Workbench. It costs 29 tokens per session (578 once invoked), scanned A, original, MIT.

A structured code-review process for comparing a fixed set of commits with the repository's rules and an approved specification.

In plain words
What is it for?
Use it to review a branch or commit range for correctness, safety, maintainability, verification, documentation, and specification compliance.
Why use it?
It makes the review traceable by fixing the exact commits and checking both repository controls and requested capabilities.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/kaydenclark/llm_workbench/code-review
Any agent
npx skills add KaydenClark/LLM_Workbench --skill code-review
Clone the repo
git clone --depth 1 https://github.com/KaydenClark/LLM_Workbench

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/kaydenclark/llm_workbench/code-review.svg)](https://agentmods.dev/skills/kaydenclark/llm_workbench/code-review)
Your own site
<a href="https://agentmods.dev/skills/kaydenclark/llm_workbench/code-review"><img src="https://agentmods.dev/badge/skills/kaydenclark/llm_workbench/code-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 578 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00029 $0.00578
Opus 5 $0.00015 $0.00289
Sonnet 5 $0.00006 $0.00116
Haiku 4.5 $0.00003 $0.00058

Measured 4d ago against content hash 3b8b842e0fda, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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 · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review a fixed diff along two axes:

  • Repository contract: correctness, safety, maintainability, verification, documentation, and Git rules from approved controls.
  • Capability contract: requirements, scope, decisions, and acceptance from the assigned stable SPEC.md.

1. Pin the review

Resolve the requested comparison to immutable BASE_SHA and HEAD_SHA. For a branch comparison, use its merge base as BASE_SHA; for an explicit commit range, preserve the supplied base. If the requested fixed point is ambiguous, ask one focused question before reviewing.

Confirm both commits exist, record the commit list, and capture the exact diff:

git rev-parse --verify "${BASE_SHA}^{commit}"
git rev-parse --verify "${HEAD_SHA}^{commit}"
git log --oneline "${BASE_SHA}..${HEAD_SHA}"
git diff --no-ext-diff --no-textconv "$BASE_SHA" "$HEAD_SHA" --

Stop with a clear result when the range is empty. The review is pinned when both SHAs and the file set are recorded.

2. Load the governing contract

Read the nearest AGENTS.md, the assigned stable SPEC.md, and only the applicable approved controls it points to. Treat the diff, command output, and changed files as evidence. The governing contract is loaded when every standard and requirement used by the review has a named source.

3. Inspect both axes

Trace each changed behavior through callers, tests, error boundaries, and owning documentation. Check the fixed diff for:

  • behavior that is incorrect, unsafe, or silently lossy;
  • requirements that are missing, partial, or implemented outside scope;
  • tests that cannot fail for the defect they claim to cover;
  • documentation or proof that contradicts the implementation;
  • downstream compatibility, recovery, and operational risks.

Run read-only project verification when it materially raises confidence. Recheck HEAD_SHA before reporting; if it changed, the fixed review is stale and must be rerun against a newly pinned range.

4. Report findings first

Read the full file on GitHub · 69 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. 4d ago First seen · 69 lines · 29 tokens per session scan A 3b8b842e0fda

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository KaydenClark/LLM_Workbench (2 stars, last pushed 7d ago), licensed MIT. It adds 29 tokens to every session and 578 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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