Official Verified developer tools Safety 4/5

harness

Agent engineering harness for any repo. Creates a short AGENTS.md table-of-contents, structured docs/ knowledge base (ARCHITECTURE, QUALITY, CONVENTIONS, COORDINATION, RESILIENCE), custom agent-readable linters (WHAT/FIX/REF format), CI enforcement, and execution plan templates. Supports Rust, Go, TypeScript, and Python. Integrates agent-motivator recovery protocols into docs/RESILIENCE.md (7-point checklist, VBR standards, failure pattern library). Use when setting up any repo for agent-first development, upgrading an existing AGENTS.md, or enforcing architectural lint gates. Includes --audit flag for tool lifecycle checks and L1/L2/L3 progressive disclosure.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/bowen31337/harness

Download Source Code (.zip)

What This Skill Does

The harness skill is a comprehensive agent-engineering framework designed to standardize the development environment for AI agents. It implements the OpenAI Codex team's agent-first engineering pattern, transforming raw repositories into highly structured, agent-readable environments. By generating a standardized AGENTS.md table-of-contents, a robust documentation suite (including ARCHITECTURE, QUALITY, CONVENTIONS, and COORDINATION), and custom linters, it ensures that your repository provides sufficient context for autonomous agents to perform high-quality coding tasks. The skill provides a mechanism for agent-readable error reporting using a strict WHAT/FIX/REF format, allowing agents to self-correct architectural and quality regressions without human intervention.

Installation

You can install the harness skill directly into your OpenClaw environment using the following command: clawhub install openclaw/skills/skills/bowen31337/harness

Use Cases

Repo Scaffolding: Initialize a new repository with a complete documentation suite tailored for agent-first development.
Architectural Enforcement: Introduce custom linting rules that prevent agents from violating repository dependency rules or naming conventions.
Maintenance & Auditing: Use the --audit flag to check the freshness of your tool lifecycle and the doc_garden.py script to identify and repair stale documentation references.
Task Planning: Automatically generate structured execution plans for complex engineering tasks, ensuring agents follow a logical path during multi-step implementations.

Example Prompts

"Harness the current repository. Detect the language, scaffold the necessary documentation files, and set up the agent-linting script."
"Audit the documentation in this repo using the harness tool. Report any stale references and generate a PR to fix them."
"I need to add a new database module. Generate an execution plan using the harness tool that adheres to our ARCHITECTURE.md and CONVENTIONS.md standards."

Tips & Limitations

Progressive Disclosure: Utilize the L1/L2/L3 markers in your AGENTS.md to ensure agents can navigate the repository structure effectively based on the depth of the task at hand.
Language Support: Currently, the skill is optimized for Rust, Go, TypeScript, and Python. Using it on other languages may require manual configuration of the linter scripts.
CI/CD Integration: Always ensure that the generated .github/workflows/agent-lint.yml file is active to prevent the introduction of architectural debt, as this is the most effective way to keep your agents aligned with repository standards.

Read Full Documentation on GitHub

Metadata

Author@bowen31337

Stars4190

Updated2026-04-18

View Author Profile

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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-bowen31337-harness": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#developer-tools#automation#scaffolding#linting#agent-engineering

Safety Score: 4/5

Flags: file-write, file-read, code-execution

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