Evidence before confidence
Separate documented claims from executable, enforced, and maintained evidence. Keep unknowns and command limitations visible.
MetaSkills
MetaSkills packages portable practices for building agents and checking whether their instructions, environment, permissions, state, verification, observability, recovery, and orchestration are trustworthy.
The new harness-validator stays read-only, separates claims from executable evidence, surfaces blockers that averages must not hide, and recommends the smallest effective improvements.

Great agent workflows are hard won: guardrails, context boundaries, examples, and validation steps are often trapped in private chats or one developer's habits.
MetaSkills turns that knowledge into lightweight, readable files that live in Git. Install a skill, adapt it to your project, inspect the practice, and improve it openly without adopting a proprietary runtime.
Harness Validator applies 78 canonical checks across nine categories, while adapting rigor to project risk, lifetime, architecture, and autonomy.
Separate documented claims from executable, enforced, and maintained evidence. Keep unknowns and command limitations visible.
Unsafe access, exposed secrets, missing completion criteria, unreproducible setup, and unsupported cross-boundary claims never disappear into an average.
Mark advanced controls not applicable when justified, detect contradictions and over-detail, and prefer the smallest improvement that reduces real risk.
The canonical agent stays portable. Harness adapters describe how to use platform features when present, and what to do when they are missing.
`AGENT.md`, knowledge sources, tool/action contracts, evals, guardrails, and validation live in Git and can move across projects.
Subagents, async jobs, MCP/OpenAPI actions, memory, and monitoring become adapter capabilities with explicit manual fallback paths.
Each skill is self-contained and can be installed into an agent-specific skill directory such as `.agents/skills`, `.claude/skills`, `.codex/skills`, or another supported target.
Use when you want a copilot, coding assistant, tool-enabled reviewer, or knowledge-focused onboarding agent. Version 1.1 adds a maturity model from Level 0 to Level 5, harness adapters for Pi, Claude, Codex, Gemini, and Microsoft Foundry, plus templates for handoffs, jobs, feedback, benchmarks, and runtime capabilities.
Use when you want to create, evaluate, improve, benchmark, or evolve reusable AI agent skills.
Use when you need a read-only, evidence-first review of instructions, environment, security, task control, state continuity, verification, observability, clean handoffs, or autonomous orchestration.
Examples show the starting prompt, selected skill, expected output structure, before/after value, assumptions, and validation checklist.
Draft release notes from issues, pull requests, and changelog fragments.
Package support classification, escalation, privacy, and response workflow.
Create an agent that reviews database changes for release blockers and risk.
MetaSkills is vendor-neutral and file-based. It can support OpenAI/Codex-style coding agents, Claude, GitHub Copilot, Gemini, and other agent harnesses that read repository instructions.
Quick answers for OpenAI users, GitHub maintainers, and teams evaluating agent tooling.
MetaSkills is an open-source collection of installable skills for creating agents, skills, and reusable agent workflows.
No. It is not a runtime, control plane, deployment service, or management system. The assets are readable files intended to live in your repository.
Run npx skills add https://github.com/smota/metaskills --list --full-depth, choose a skill, install it, and ask your coding agent to use it by name.
Re-run the install command from the adopting project root, then review the diff before accepting upstream template, checklist, reference, or adapter changes.
Open a GitHub issue or PR with a skill, example, toolset, component reference, or docs improvement. Start with the contribution guide.