Content
100%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A dense, actionable skill body with executable workflows, explicit validation checkpoints, and clean one-level-deep reference separation. It respects Claude's intelligence and routes complex detail to verified bundle files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — no padding about what Docker, Kafka, SSE, or VLMs are — and every code block earns its place; only a couple of minor near-duplications (OpenAPI source-of-truth, alias clarification) could be trimmed, fitting the score-5 anchor best. | 5 / 5 |
Actionability | It provides copy-paste-ready curl/bash with real endpoints, exact model-id retrieval via jq, env-var guards such as '${API_KEY:?}', and concrete RTSP validation, matching the score-5 anchor for fully executable guidance covering common cases. | 5 / 5 |
Workflow Clarity | The standalone deployment flow is explicitly numbered with a 'Never skip the dry-run' checkpoint, preflights before pull, a smoke test after ready, and troubleshooting feedback loops (401 -> docker login retry; OOM -> switch variant / compose down); validation is present for this infra operation, matching the score-5 anchor. | 5 / 5 |
Progressive Disclosure | SKILL.md acts as a clear overview with one-level-deep, well-signaled markdown links to real files (deploy-rt-vlm-service.md, api-surface-26.05.md, kafka-workflows.md), plus an upfront routing decision, matching the score-5 anchor. | 5 / 5 |
Total | 20 / 20 Passed |