skill-cockpitlisted

Open a local browser cockpit for the agent self-improvement loop - see every installed skill, the new candidate skills, and the blind eval results and adopt/probation/reject decisions for all of them, and start mining, dry runs, full loops, evals and probation rechecks from the page. Use when asked to "show my skills", "open the cockpit", "what did the loop adopt", "show eval results", "manage my skills", or to watch skill-miner / skill-eval-loop runs. Local only, stdlib Python, no cloud.
getedgehq/skills · ★ 3 · AI & Automation · score 71

Install: claude install-skill getedgehq/skills

# skill-cockpit The UX layer over skill-miner and skill-eval-loop. One local page, three questions: what skills do I have, which new ones are being considered, and did they prove themselves on my own tasks. ## Start ```bash lsof -iTCP:7788 -sTCP:LISTEN # check the port first python3 scripts/cockpit.py # http://127.0.0.1:7788/ python3 scripts/cockpit.py --port 7790 --forge-root ~/skill-forge \ --projects ~/.claude/projects --skills-dir ~/.claude/skills --skills-dir ~/.agents/skills \ --memory ~/.claude/projects/-Users-me/memory --adopt-dir ~/skill-forge/adopted python3 scripts/cockpit.py --dump # state JSON, no server (for agents/tests) ``` On a remote box, tunnel it: `ssh -L 7788:127.0.0.1:7788 host`, then open locally. ## What the page shows - **Evals** - every run in `$FORGE_ROOT/runs`: winner (skill / baseline / tie / invalid) with the sample tally (`3–0 of 3`), verify passes per arm (`3/3`) and tool errors, gate decision. Sampled runs (`runs/<id>/sN/`) show each sample's winner, timings and runner error; a run still being written by forge.sh or a timer reads as running, an abandoned one as incomplete. Expand for the exact task prompt, the blind judge's reasons, per-criterion winners, the production failure it targets, and the probation recheck date. - **Candidates** - drafted skills (`drafts/`) with their forge status, and scored matches from local, getedge, Floom and skills.sh with P(improvement). Any