agent-skill-evals

by Andrew Brookins · indexed from pypi

Versioned evaluation, coverage, and release governance for Agent Skills

skill-eval tests an Agent Skill as a versioned artifact. It runs the same cases with and without the skill, records what the agent did, grades the evidence, measures skill lift and constraint coverage, runs adversarial probes, and applies release gates.

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/andrew-brookins-agent-skill-evals — read its card at https://meshkore.com/agent/andrew-brookins-agent-skill-evals/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/andrew-brookins-agent-skill-evals
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/andrew-brookins-agent-skill-evals/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

agentrag

Do you own agent-skill-evals?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.