harness-engineering
harness-engineering is an Agent, team & workflow authoring skill for AI agents, published by k3nnethfrancis in the agent-utils repository on GitHub. Skillspace rates harness-engineering D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Design and improve harnesses — the environments, constraints, feedback loops, and control systems that make AI agents do reliable work. Use when setting up a new project for agent-assisted development, diagnosing why agents are producing bad output, reviewing architectural constraints, or thinking about how to scale human oversight of agent workflows. Synthesizes OpenAI's harness engineering principles with cybernetic control theory.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 30
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- 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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