review-check

review-check is a skill for Claude Code from Qualimetry/claude-code-qualimetry-ai-app. It costs 85 tokens per session (1,777 once invoked), scanned A, original, Apache-2.0.

A source-file checker that retrieves issues previously found by Qualimetry, a code-review service, including standards, design, security, and policy problems.

In plain words
What is it for?
Use it to check a source file by path or the file being discussed, using the current Git branch and repository details. In a monorepo—a repository containing multiple projects—you may also specify which project was analysed.
Why use it?
It helps you find recorded review findings without searching through review results manually. It can also show a compliant code example for addressing an issue.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Part of the qualimetry-ai-app plugin — 5 skills, 6 commands, 1 agent, 1 hook shipped together

Good fit Use it to check a source file by path or the file being discussed, using the current Git branch and repository details. In a monorepo—a repository containing multiple projects—you may also specify which project was analysed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qualimetry/claude-code-qualimetry-ai-app/review-check
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 Qualimetry/claude-code-qualimetry-ai-app --skill review-check
Clone the repo
git clone --depth 1 https://github.com/Qualimetry/claude-code-qualimetry-ai-app

Made for: Claude Code.

Or install qualimetry-ai-app, the plugin that ships this one along with the rest of its 5 skills, 6 commands, 1 agent, 1 hook.

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 review-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/qualimetry/claude-code-qualimetry-ai-app/review-check/github.svg)](https://agentmods.dev/skills/qualimetry/claude-code-qualimetry-ai-app/review-check)
Your own site
<a href="https://agentmods.dev/skills/qualimetry/claude-code-qualimetry-ai-app/review-check"><img src="https://agentmods.dev/badge/skills/qualimetry/claude-code-qualimetry-ai-app/review-check/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 review-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/qualimetry/claude-code-qualimetry-ai-app/review-check"><img src="https://agentmods.dev/badge/skills/qualimetry/claude-code-qualimetry-ai-app/review-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,777 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 $0.00085 $0.01777
Opus 5 $0.00043 $0.00889
Sonnet 5 $0.00017 $0.00355
Haiku 4.5 $0.00009 $0.00178

Measured 5d ago against content hash 4af4d404a03a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-check 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 5d 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/qualimetry-ai-app/skills/review-check/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Issues Check

When working with a source file that may have been previously reviewed by Qualimetry, follow this workflow to retrieve and present any review issues found.

Step 1: Determine the Target File

Identify the file to check:

  • If invoked with an argument (e.g. review-check src/MyService.cs), use that file path.
  • Otherwise, use the file currently being discussed or edited in the conversation.

Step 2: Gather Repository Information

Determine the repositoryName and branchName:

repositoryName — the repository name in owner/repo-name format (e.g., organisation/my-project). The server is case-insensitive and handles .git suffixes automatically.

analysisName (optional, Qualimetry Enterprise only) — if the repository is a mono-repo with multiple analysis projects, provide the analysis project name to disambiguate. Case-insensitive. Leave empty for single-project repositories. If omitted and multiple projects are found, the server returns an error listing the available analysis names.

branchName — run this shell command:

git branch --show-current

This returns the branch name (e.g., main, develop, feature/login-page).

pullRequest (optional) — to limit the results to the issues raised on a pull request's new code, supply the PR number. Resolve it for the current branch using standard git only — no GitHub/Azure/Bitbucket CLI required. Every major host advertises the PR as a ref whose head equals the source-branch tip, so match the branch's remote head SHA against those refs:

BRANCH=$(git branch --show-current)
SHA=$(git ls-remote origin "refs/heads/$BRANCH" | cut -f1)
git ls-remote origin "refs/pull/*/head" "refs/merge-requests/*/head" "refs/pull-requests/*/from" \
  | awk -v s="$SHA" '$1==s{print $2; exit}' | grep -oE '[0-9]+' | head -1

This covers GitHub (refs/pull/<n>/head), GitLab (refs/merge-requests/<n>/head) and Bitbucket Server (refs/pull-requests/<n>/from). If it prints nothing — the branch is not pushed, or the host does not expose PR refs over git (e.g. Bitbucket Cloud, Azure DevOps) — omit pullRequest and the tools return all review issues for the file.

Read the full file on GitHub · 140 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago Changed · +1 lines 4af4d404a03a
  2. 10d ago First seen · 139 lines · 85 tokens per session scan A 5b9d4bdece44

Subscribe to this mod's changes

review-check is a skill published in the GitHub repository Qualimetry/claude-code-qualimetry-ai-app (1 stars, last pushed 6d ago), licensed Apache-2.0. It adds 85 tokens to every session and 1,777 once invoked, about $0.0004 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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