check

check is a skill for Claude Code, Codex from Bidiche49/claude-conf. It costs 18 tokens per session (418 once invoked), scanned A, original, MIT.

A validation command that detects the project's technology stack and runs its configured linting, build, and test checks.

In plain words
What is it for?
Use it to check Node.js or TypeScript, Flutter, PHP, Swift, Go, Rust, Python, Ruby, and Makefile-based projects.
Why use it?
It gathers the main quality checks in one workflow and stops when a check fails, so errors can be fixed before later checks run.

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/bidiche49/claude-conf/check
Any agent
npx skills add Bidiche49/claude-conf --skill check
Clone the repo
git clone --depth 1 https://github.com/Bidiche49/claude-conf

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 check

README.md
[![agentmods](https://agentmods.dev/badge/skills/bidiche49/claude-conf/check.svg)](https://agentmods.dev/skills/bidiche49/claude-conf/check)
Your own site
<a href="https://agentmods.dev/skills/bidiche49/claude-conf/check"><img src="https://agentmods.dev/badge/skills/bidiche49/claude-conf/check.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 418 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 5.1 $0.00018 $0.00418
Opus 5 $0.00009 $0.00209
Sonnet 5 $0.00004 $0.00084
Haiku 4.5 $0.00002 $0.00042

Measured 5d ago against content hash a81d8fe5837e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

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.

pre-commit-gate/skills/check/SKILL.md · 32 lines

What it actually says

Detect the project stack and run the full validation pipeline.

Stack detection

Check these files at project root:

File Stack Pipeline
package.json Node/TS Read scripts in package.json. Run lint, typecheck, build, test (in that order, using the actual script names found)
pubspec.yaml Flutter flutter analyze then flutter test
composer.json PHP composer lint or phpcs then phpunit
*.xcodeproj or Package.swift Swift swiftlint then xcodebuild test
go.mod Go go vet then golangci-lint run then go test ./...
Cargo.toml Rust cargo clippy then cargo test
pyproject.toml Python ruff check then mypy then pytest
Gemfile Ruby rubocop then rspec or rails test
Makefile Generic Look for targets: make lint, make test, make check

Rules

  1. Detect the stack from the table above
  2. Read the config file (package.json scripts, Makefile targets, pyproject.toml, etc.) to find the real commands — never guess
  3. Run in order: lint, build (if applicable), tests
  4. Stop on first error — fix the issue, then re-run the failed step
  5. If a command doesn't exist (e.g. no "lint" script in package.json), skip it with a warning
  6. When everything passes: print "Ready to commit" and run git diff --stat
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 · 32 lines · 18 tokens per session scan A a81d8fe5837e

Subscribe to this mod's changes

check is a skill published in the GitHub repository Bidiche49/claude-conf (2 stars, last pushed 4mo ago), licensed MIT. It adds 18 tokens to every session and 418 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.

Related

Other skills, from other repositories

hooks-eval

Evaluate hook security, performance, and SDK compliance. Use for audits.

athola/claude-night-market · 18 tokens

webmcp-setup

Bootstraps webmcp-react into an existing React or Next.js app. Installs dependencies, adds WebMCPProvider, creates a first tool, and configures the MCP client bridge. Use when the user wants to set up WebMCP, add MCP tools to their app, integrate webmcp-react, or make their React app accessible to AI agents.

agentcathq/webmcp-react · 80 tokens

react-expert

Expert-level React development with hooks, performance optimization, state management, and modern patterns. Use when the user mentions frontend, hooks, JSX, TypeScript, or Next.js, or when the task involves Modern React, State Management, Forms, or Performance Optimization.

personamanagmentlayer/pcl · 56 tokens

issue-triage

3-phase issue backlog management with audit, deep analysis, and validated triage actions. Use when triaging GitHub issues, sorting bug reports, cleaning up stale tickets, or detecting duplicate issues. Args: 'all' to analyze all, issue numbers to focus (e.g. '42 57'), 'en'/'fr' for language, no arg = audit only.

FlorianBruniaux/claude-code-plugins · 81 tokens

review-pr

Perform a comprehensive code review of a pull request.

FlorianBruniaux/claude-code-plugins · 12 tokens

talk-stage5-script

Produces a complete 5-act pitch with speaker notes, a slide-by-slide specification, and a ready-to-paste Kimi prompt for AI slide generation. Requires validated angle and title from Stage 4. Use when you have a confirmed talk angle and need the full script, slide spec, and AI-generated presentation prompt.

FlorianBruniaux/claude-code-plugins · 69 tokens