harness-engineering
harness-engineering is an Agent frameworks & building agents skill for AI agents, published by charlesanim in the harness-engineering repository on GitHub. Skillspace rates harness-engineering D (56/100) and it passed the safety scan; the rating is based on static analysis only.
Set up OpenAI's harness engineering methodology in any repository. Creates the full agent-first infrastructure: AGENTS.md progressive disclosure map, architectural layer boundaries with mechanical enforcement, testing framework, CI pipeline, golden principles documentation, garbage collection scripts, and pre-commit hooks. Use when asked to "set up harness engineering," "make the repo agent-ready," "add architectural boundaries," "set up testing and CI," or "adopt agent-first engineering." Works with any stack — React, Next.js, Python, Go, Rails, etc.
- Grade
- D
- Quality
- 56 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 67 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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