setup-checks

A setup workflow that creates AI quality checks for a code repository. These checks are instructions that an AI agent runs on every pull request, a proposed code change submitted for review.

In plain words
What is it for?
Use it to inspect a repository, create files in .checks/, try a check, optionally configure continuous integration, and prepare a commit and pull request.
Why use it?
It helps turn project-specific coding standards into automated review checks that can flag problems and suggest fixes.

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/continuedev/checks/setup-checks
Any agent
npx skills add continuedev/checks --skill setup-checks
Clone the repo
git clone --depth 1 https://github.com/continuedev/checks

Made for: Claude Code, Codex.

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,647 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 $0.00030 $0.02647
Opus 5 $0.00015 $0.01324
Sonnet 5 $0.00006 $0.00529
Haiku 4.5 $0.00003 $0.00265

Measured 2d ago against content hash ead1ee1d49ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

setup-checks 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 2d 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/setup-checks/SKILL.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Set Up AI Checks

You are helping a developer set up AI Checks — markdown files that define code quality standards. Each check runs as a full AI agent on every PR — not just reading the diff, but able to read files, run commands, and use a browser. If it finds something, it fails the PR with a suggested fix. Otherwise, it passes silently.

Complete all steps below in order.


Step 1: Orient

Welcome the user. Keep it brief — one or two sentences:

We're going to set up AI checks for your repo. I'll explore your codebase, write checks tailored to your project, and get you set up to run them.

Then create a todo list for the session:

  1. Explore codebase & write checks
  2. Try a check
  3. Set up CI (optional)
  4. Commit & PR

Mark task 1 in progress.

Step 2: Git Setup

  1. Verify this is a git repo: git rev-parse --git-dir 2>/dev/null — stop if not.
  2. Check for uncommitted changes: git status --porcelain

If dirty, ask:

You have uncommitted changes. I'd like to stash them and create a new branch. OK?

If approved:

git rev-parse --abbrev-ref HEAD # save original branch
git stash push -m "Stashing before checks setup"
git checkout -b add-checks

Remember the original branch and whether you stashed — you'll restore later.

Step 3: Explore & Write Checks

Speed target: under 60 seconds. Stay shallow — surface patterns, don't read entire files.

Run these in parallel where possible:

Codebase scan

  • Project structure, languages, frameworks, build system
  • Linters, formatters, type checkers already in use
  • Testing framework & patterns
  • CI/CD workflows
  • Contributing guidelines (CONTRIBUTING.md, CLAUDE.md, AGENTS.md)

PR review history (via gh CLI, skip if gh is not available)

gh pr list --state merged --limit 30 --json number,title
# For 3-5 recent PRs with review comments:
gh api repos/{owner}/{repo}/pulls/{number}/comments --jq '.[] | {body: .body, path: .path}'

Look for: what reviewers commonly flag, what linters don't catch, what areas get the most review attention.

Read the full file on GitHub · 326 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. 2d ago First seen · 326 lines · 30 tokens per session scan A ead1ee1d49ec

Subscribe to this mod's changes

setup-checks is a skill published in the GitHub repository continuedev/checks (11 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 2,647 once invoked, about $0.0002 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 2026-08-30.

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