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yao-meta-skill

Skill Development Usable

YAO = Yielding AI Outcomes. A rigorous engineering, evaluation, governance, and portability system for reusable agent skills.

425 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Provides structured framework for building, testing, and versioning reusable AI agent skills across teams and deployments. Reduces duplication and ensures consistent quality gates before production use.

Engineering teams building multi-agent systems who need to standardize skill development, evaluation, and governance across projects.

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https://github.com/yaojingang/yao-meta-skill

By yaojingang

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install yaojingang/yao-meta-skill

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars425Last updated2026-05-20LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-05 · scanner v1

Community Pulse Growing

Discussed on Reddit

10 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 425 GitHub stars; contributors unknown; last commit 16d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 425 GitHub stars; contributors unknown; last commit 16d ago; license MIT.

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