skill-conductor tested by Argusic Runner

What the test found

All 13 Python scripts in skill-conductor successfully parse and run: smoke tests pass (12/12), structural eval passes (22/22, score 10/10), skill init creates valid structure, packaging produces valid .skill zip, and scripts requiring LLM access (run_eval, improve_description, run_loop) parse their args correctly but need ANTHROPIC_API_KEY to execute real evaluations.

Three scripts (run_eval.py, improve_description.py, run_loop.py) require claude CLI or ANTHROPIC_API_KEY which are not set in this container. They parse args and import correctly but cannot execute real evaluations without LLM credentials. All scripts that can run standalone (test_smoke.py, eval_skill.py, quick_validate.py, init_skill.py, package_skill.py, split_evals.py, aggregate_benchmark.py) work without issues.

Argusic installed skill-conductor in 1 minutes and launched it; verification reached Verified with mock services. 2 of 2 recorded errors were worked through (see the timeline below).

Runs with mocksall runs of skill-conductor

This summary is drawn from the agent's recorded report for this run. Every figure traces to the log and recording above; nothing here is authored.