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SKILL verified MIT Self-run

Harness Engineering Playbook

skill-broomva-harness-engineering-harness-engineering · by broomva

Implement OpenAI Harness Engineering practices in any repository — AGENTS.md, PLANS.md, deterministic smoke/test/lint harness commands, strict architecture boundaries, observability from day 1, and entropy-control audits for reliable autonomous agent runs.

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Install

$ agentstack add skill-broomva-harness-engineering-harness-engineering

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Harness Engineering Playbook

A skills.sh-compatible skill that operationalizes the practices from OpenAI's Harness Engineering guide. Use it to set up or refactor agent-first workflows so that autonomous runs are repeatable, observable, and safe.

Install

npx skills add broomva/harness-engineering-skill --skill harness-engineering-playbook

What It Does

  • Bootstraps harness artifacts: AGENTS.md, PLANS.md, docs/ARCHITECTURE.md, docs/OBSERVABILITY.md, Makefile.harness, and CI workflows.
  • Wraps deterministic commands behind make smoke, make check, make ci so agents can run them reliably.
  • Enforces strict module boundaries and data-shape contracts.
  • Wires structured observability (correlation IDs, key transitions) from day 1.
  • Adds entropy-control audits and nightly harness checks to prevent docs drift and flaky scripts.

Workflow

  1. Baseline the target repo — detect language, toolchain, and existing CI.
  2. Bootstrap harness artifacts from templates (interactive wizard or shell script).
  3. Apply the nine Harness Engineering practices across repo artifacts.
  4. Validate with audit — treat any MISSING or FAIL as blocking.
  5. Iterate after real agent runs — patch gaps and re-audit.

Quick Start

# Interactive wizard (recommended)
python3 .agents/skills/harness-engineering-playbook/scripts/harness_wizard.py init  --profile control

# Shell fallback
./scripts/bootstrap_harness.sh 

# Audit
python3 .agents/skills/harness-engineering-playbook/scripts/harness_wizard.py audit

Profiles

| Profile | Scope | |------------|----------------------------------------------------| | baseline | Core harness artifacts only | | control | Baseline + control-system primitives | | full | Control + entropy controls, nightly audit, CI |

Source

OpenAI Harness Engineering guide:

License

MIT

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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