agentleFS
HanksChen0110HanksChen0110/skills/harness-eval/SKILL.md

harness-eval

Skill2 starsChanged 30 days agoNo licenceView on GitHub

Use when evaluating an Agent product or proposed Agent product for harness maturity, including MVP readiness, mid-stage improvement direction, full-form harness completeness, OpenHarness-style benchmark comparison, AI PM self-checks, PRD/design review, and recommendations for making an Agent product more usable, reliable, governable, and evolvable.

We split this skill into the rules it gives an agent

14 rules. 0 are common, 9 are distinctive, and 5 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 9

    Distinctive

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.