better-harness: An open-source Harness Engineering platform for coding agents—define harnesses as code, run controlled

by QoderAI · Codex Skill · ★ 2.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install better-harness

/plugin marketplace add QoderAI/better-harness
/plugin install better-harness@better-harness

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-pluginclaude-codecodexcursorharness-designharness-engineeringloop-engineeringqoderskill

Quick Facts

Stars2,394
Forks197
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score71/100
Open Issues11
Last Updated2026-10-20
Created2026-07-21
Platformsclaude-code, codex, node
Est. Tokens~16k

About better-harness

Better Harness English · 简体中文 See how your AI coding workflow works—and make it better, one step at a time. Better Harness reviews how coding agents understand tasks, make changes, verify results, deliver safely, and learn—then shows what to improve next, with every finding tied to visible evidence.

Compatible Skills

These tools work well together with better-harness for enhanced workflows:

  • Repo-to-Agent-Context — semantic(0.50)+complementary+rare_topics+similar_pop+shared_platform (62%)
  • qoder-proxy — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • ospec — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • sd0x-dev-flow — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • session-orchestrator — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools