agentpack-skill-reviewlisted

# AgentPack Skill Review Use when the user invokes `$agentpack-skill-review <skill path or name>` or asks to review, improve, benchmark, or generate evals for a skill. ## Workflow 1. Run `agentpack skill-review --skill "$ARGUMENTS" --json` and read the generated `review.md`, `findings.json`, and `evals.json`. 2. Inspect the target `SKILL.md` directly. Treat the deterministic findings as evidence-backed checks, not a complete quality judgment. 3. Review the candidate eval set. Keep an even split of realistic should-trigger and near-miss should-not-trigger queries; edit or add cases when the generated wording is artificial. 4. Run the evals against both the current skill and a baseline without the skill when the host can run isolated agent tasks. Store transcripts, outputs, timing, and token metadata under the workspace's next `iteration-N/` directory. 5. Grade objective assertions programmatically where possible and record human feedback separately. Compare trigger precision/recall, output quality, latency, and token cost. 6. Propose targeted changes to `SKILL.md` and rerun the same evals as a new iteration. Do not claim improvement from a single example or from generated candidates that the user has not reviewed. 7. Report the workspace paths, findings, eval-set balance, baseline comparison, and validation status. If a browser viewer is available, use the host's standard eval viewer rather than writing a custom one. The CLI command only writes local artifacts. It does not