auto-harness

auto-harness is an Agent instruction files skill for AI agents, published by PacificStudio in the openase repository on GitHub. Skillspace rates auto-harness C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Diagnose and strengthen a repository's harness layer: AGENTS.md rules, knowledge layout, architecture boundaries, lint and type gates, API and generated-client contracts, test scaffolding, structured logging, and technical-debt tracking. Use when Codex needs to audit drift-prone semantics that are repeated across code, docs, schemas, generated artifacts, frontend/backend boundaries, or CI, then design or implement guardrails with progressive disclosure and zero-tolerance contract checks.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
261

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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.

View source on GitHubPacificStudio/openase

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Apache-2.0
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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