harness-engineering-playbook Skill
Implement OpenAI Harness Engineering practices in any repository. Use when setting up or refactoring agent-first workflows, writing or upgrading AGENTS.md and PLANS.md, creating deterministic smoke/test/lint/typecheck harness commands, defining strict architecture boundaries and data-shape contracts, wiring observabili Published by microsoft in experiment-catalog.
What is harness-engineering-playbook Skill?
Implement OpenAI Harness Engineering practices in any repository. Use when setting up or refactoring agent-first workflows, writing or upgrading AGENTS.md and PLANS.md, creating deterministic smoke/test/lint/typecheck harness commands, defining strict architecture boundaries and data-shape contracts, wiring observabili Published by microsoft in experiment-catalog. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Security review
- Data analysis
- Writing
- Testing use cases
Technical details
- Install or run with Copy skill directory
When to use harness-engineering-playbook Skill
- Use it for testing.
- Use it for security review.
- Use it for data analysis.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/experiment-catalog
- Skill file: .agents/skills/harness-engineering-playbook/SKILL.md
What it does
Implement OpenAI Harness Engineering practices in any repository. Use when setting up or refactoring agent-first workflows, writing or upgrading AGENTS.md and PLANS.md, creating deterministic smoke/test/lint/typecheck harness commands, defining strict architecture boundaries and data-shape contracts, wiring observabili
Skill instructions
Harness Engineering Playbook Use this skill to operationalize the practices from OpenAI's Harness Engineering guide in a repo that agents can run against repeatedly and safely. What To Load - Use references/openai-harness-practices.md for the full practice-to-artifact mapping. - Use references/rollout-checklist.md for phased adoption in active repos. - Use references/wizard-cli.md for Typer wizard command flows. - Use assets/templates/ when creating or updating harness files. Inputs - Target repository path. - Existing command surface (make, npm, cargo, pytest, etc.). - Existing CI workflows and branch protections. Workflow 1. Baseline the repo and detect existing workflows. 2. Bootstrap harness artifacts and templates. 3. Apply all nine Harness Engineering practices. 4. Run harness audit checks and repair gaps. 5. Iterate after real agent runs. Step 1: Baseline The Repo - Identify language/toolchain and canonical entrypoints. - Inventory existing checks, scripts, and CI jobs. - Record
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Frequently asked questions
What is harness-engineering-playbook?
harness-engineering-playbook is a open-source AI agent skill with Copy skill directory. Implement OpenAI Harness Engineering practices in any repository. Use when setting up or refactoring agent-first workflows, writing or upgrading AGENTS.md and PLANS.md, creating.
Who is harness-engineering-playbook best for?
harness-engineering-playbook is best for reusing agent instructions, scripts, and references, testing workflows, security review workflows, data analysis workflows.
How do I install harness-engineering-playbook?
Install or run harness-engineering-playbook using Copy skill directory. Check harness-engineering-playbook for the latest setup command.
Is harness-engineering-playbook actively maintained?
harness-engineering-playbook may need a closer maintenance check before production use.
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