Project Code Standard for Openclaw

A comprehensive automation skill for checking, fixing, and enforcing code standards across Python, JavaScript, and TypeScript projects.

forestxiecode
v0.1.0
Mar 4, 2026
0
1.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install project-code-standard

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install project-code-standard using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Project Code Standard?

Project Code Standard is a professional-grade tool designed to help developers establish and maintain unified coding specifications. It ensures codebase consistency, readability, and maintainability by integrating with industry-standard linters and formatters. This skill is a vital part of the Openclaw Skills library, providing a streamlined way to handle everything from initial style setup to complex pre-submission code reviews.

Whether you are working on a Python backend using PEP8 or a modern frontend with TypeScript and Prettier, this skill automates the detection of violations and provides actionable reports. It simplifies the developer workflow by acting as an intelligent quality gate that can both identify problems and provide automated solutions.

Project Code Standard Use Cases

  • Automatically linting and formatting code to meet team standards.
  • Setting up a new project's code quality toolchain including ESLint, Prettier, or Ruff.
  • Validating code quality before a Code Review or CI/CD integration.
  • Generating comprehensive code quality reports for project stakeholders.
  • Fixing common style violations automatically without manual intervention.

How Project Code Standard Works

  1. Scans the project root to identify the technology stack by looking for files like package.json, pyproject.toml, or go.mod.
  2. Selects the appropriate linting logic based on the detected language (e.g., Ruff for Python or ESLint for JS/TS).
  3. Executes a deep scan of the target files while respecting default exclusions like node_modules or virtual environments.
  4. Generates a structured Markdown report summarizing errors and warnings categorized by severity.
  5. Offers an optional auto-fix phase to resolve repairable formatting and style issues directly.
  6. Deploys standard configuration templates to the project root if no existing rules are found.

Project Code Standard Setup

To use this skill within Openclaw Skills, ensure your environment meets the language-specific requirements. For Python, you need version 3.8+; for JavaScript or TypeScript, Node.js 16+ is required.

# Check project type and configuration
ls package.json pyproject.toml setup.py Cargo.toml go.mod 2>/dev/null

# Perform a Python quality check
python scripts/check_python.py <target_path> --output markdown

# Run the JavaScript/TypeScript standard check
python scripts/check_js.py <target_path> --output markdown

Project Code Standard Data Schema & Taxonomy

The skill produces structured outputs and utilizes a set of predefined assets to maintain consistency.

Data Type Description
Overview Stats Counts of files checked and issues found (Severity: Critical, Warning, Info).
Issue List A detailed Markdown table with File Path, Line Number, Type, and Description.
Configuration Assets Template files such as ruff.toml, .eslintrc.json, .prettierrc, and .editorconfig.
Exclusions Automatic filtering of directories like .venv, node_modules, dist, and build.

Project Code Standard Advanced Features

  • Multi-language support covering Python (Ruff, Black, Pylint) and JS/TS (ESLint, Prettier).
  • Intelligent configuration merging that respects existing project rules without overriding user settings.
  • Automated configuration deployment for new projects to jumpstart development standards.
  • High-performance analysis using the Ruff engine for lightning-fast Python checks.
  • Flexible reporting formats optimized for developer feedback and automated workflows within Openclaw Skills.

SKILL.md


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