qcheck

qcheck is a skill for Claude Code, Codex from 3awny/qship. It costs 55 tokens per session (3,374 once invoked), scanned A, original, MIT.

A general code review for checking changes for bugs, security risks, and consistency with project conventions. It examines the relevant code differences before a commit or pull request.

In plain words
What is it for?
Use it to review a branch or recent changes, including committed, staged, and unstaged code, before committing or opening a pull request.
Why use it?
It catches problems and risky patterns before the changes are shared or merged. It also helps ensure the code follows the project's existing rules and practices.

Skill for Claude CodeCodex

Part of the qship plugin — 22 skills, 1 agent, 1 hook shipped together

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/3awny/qship/qcheck
Any agent
npx skills add 3awny/qship --skill qcheck
Clone the repo
git clone --depth 1 https://github.com/3awny/qship

Made for: Claude Code, Codex.

Or install qship, the plugin that ships this one along with the rest of its 22 skills, 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 qcheck

README.md
[![agentmods](https://agentmods.dev/badge/skills/3awny/qship/qcheck.svg)](https://agentmods.dev/skills/3awny/qship/qcheck)
Your own site
<a href="https://agentmods.dev/skills/3awny/qship/qcheck"><img src="https://agentmods.dev/badge/skills/3awny/qship/qcheck.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,374 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 $0.00055 $0.03374
Opus 5 $0.00028 $0.01687
Sonnet 5 $0.00011 $0.00675
Haiku 4.5 $0.00006 $0.00337

Measured 5d ago against content hash bfaea382a9ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qcheck 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.

templates/skills/qcheck/SKILL.md · 338 lines

How it starts

The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review

Step 0: Apply Auto-Memory

The memory index is already loaded in your system prompt — no re-read needed. As you review, apply the relevant feedback_* entries (analogous code, redundancy patterns, qbcheck-before-reporting, actor-critic review, single-source-of-truth, etc.). When a finding maps to a known memory, cite the entry name in the report so the user can trace the rule.

If a specific memory file looks relevant to a finding, read just that one file from the auto-memory directory listed in the system prompt.


Step 1: Gather Changes & Context

1.1 Get Git SHAs

BASE_SHA=$(git merge-base HEAD develop)
HEAD_SHA=$(git rev-parse HEAD)

If git merge-base fails (detached HEAD, or running on develop/main), STOP and ask the user for an explicit base — don't silently fall back to HEAD~1. Reviewing just the last commit on develop is almost never what's wanted; the user usually means a specific PR range, a Jira branch they forgot to switch to, or a tag.

1.2 Gather Diff

git diff --stat $BASE_SHA..$HEAD_SHA
git diff $BASE_SHA..$HEAD_SHA

Also check for unstaged/staged changes not yet committed:

git diff
git diff --cached

1.3 Read Guidelines

Read the review guidelines:

  • Project-level: CLAUDE.md in the repository root
  • User-level: ~/.claude/CLAUDE.md (user preferences and lessons learned)

1.4 Identify What Was Built

Summarize from the diff and recent commits:

  • What feature/fix was implemented
  • Which files were changed and why
  • The plan or requirements (if a plan file exists in docs/plans/)

Step 2: Launch Parallel Review Agents

Deploy BOTH review agents simultaneously in a single message with two Task tool calls:

2.1 Superpowers Code Reviewer

Dispatch using the superpowers:code-reviewer subagent type:

Task(
  subagent_type: "superpowers:code-reviewer",
  description: "Comprehensive code review",
  prompt: |
    You are reviewing code changes for production readiness.

    Your task:
    1. Review: <WHAT_WAS_IMPLEMENTED>
    2. Compare against: <PLAN_OR_REQUIREMENTS> (or "No formal plan -- review based on code quality and correctness")
    3. Check code quality, architecture, testing
    4. Categorize issues by severity
    5. Assess production readiness

    What Was Implemented: <DESCRIPTION>
    Requirements/Plan: <PLAN_REFERENCE>
    Git Range: Base: <BASE_SHA>, Head: <HEAD_SHA>

    Run: git diff --stat <BASE_SHA>..<HEAD_SHA>
    Run: git diff <BASE_SHA>..<HEAD_SHA>

    Review Checklist:
    - Code Quality: separation of concerns, error handling, type safety, DRY, edge cases
    - Architecture: design decisions, scalability, performance, security
    - Testing: tests test logic (not mocks), edge cases covered, integration tests
    - Requirements: all plan requirements met, no scope creep, breaking changes documented
    - Production Readiness: migrations, backward compatibility, documentation

    Output Format:
    ### Strengths
    ### Issues (Critical / Important / Minor with file:line references)
    ### Recommendations
    ### Assessment: Ready to merge? [Yes/No/With fixes]
)

Read the full file on GitHub · 338 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. 5d ago First seen · 338 lines · 55 tokens per session scan A bfaea382a9ce

Subscribe to this mod's changes

qcheck is a skill published in the GitHub repository 3awny/qship (2 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 3,374 once invoked, about $0.0003 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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