Skill Eval Loop

Prerequisites: None — no account, no API key. Python 3 is needed only if you run the skill's helper scripts. No GitHub account needed unless listed here. Install "Skill Eval Loop" for me. A Muse agent skill that evaluates a workspace skill before you trust it: test suites with baselines and comparison history, staged repairs (one change at a time, rollback on regression), promotion only with your approval. Repository: https://github.com/Israelmusondaayliffe/muse-skills/tree/main/skills/skill-eval-loop 1. Fetch the SKILL.md file, scripts, and references from the repository into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and Python scripts for anything suspicious (unexpected network calls, system commands, credential harvesting). STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md, the scripts, and references into the agent's skills directory, in a folder named "skill-eval-loop". 4. Verify with no network calls: frontmatter valid, Python scripts compile. 5. Report what was installed, where, and what I still need to do myself. GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.