LLM Evaluation Registry is a backend-led quality layer for AI workflows. It tracks prompts, models, reusable test cases, evaluation runs, validation results, regressions, and human review notes so AI behavior can be measured instead of guessed.
llm-evaluation-registry is a Claude Code agent skill that lLM Evaluation Registry is a backend-led quality layer for AI workflows. It tracks prompts, models, reusable test cases, evaluation runs, validation results, regressions, and human review notes so AI behavior can be measured instead of guessed.
npx skills add iamalimaybe/llm-evaluation-registryInstalled? Explore more 生產力與協作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
LLM Evaluation Registry is a backend-led quality layer for AI workflows. It tracks prompts, models, reusable test cases, evaluation runs, validation results, regressions, and human review notes so AI behavior can be measured instead of guessed.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.