Content
86%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 well-structured specialist skill: executable server and client examples, a sequenced workflow with genuine validation checkpoints, and clean progressive disclosure to five real reference files. The main slack is mild redundancy in the Knowledge Reference section and the absence of an explicit fix-and-retry loop in the workflow.
Suggestions
Drop or merge the 'Knowledge Reference' keyword list into the Reference Guide table — it repeats the same topics (rooms/namespaces, Redis adapter, sticky sessions, heartbeat) without adding navigational value.
Add an explicit error-recovery step to the workflow, e.g. after 'Validate locally': if auth or room tests fail, fix the handler and re-run the wscat checks before proceeding to Scale.
Trim debug console.log/warn lines and the trailing maintainer/documentation lines from the code examples to reduce token cost without losing guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and operational (constraints encode non-obvious knowledge like 'Use sticky sessions for load balancing (WebSocket connections are stateful)'), but the 'Knowledge Reference' keyword list largely duplicates the reference table, and debug console.log lines plus trailing maintainer/link lines could be trimmed. This matches the anchor 'Efficient; minor instances of over-explanation that could be trimmed' rather than the every-token-earns-its-place level 5. | 4 / 5 |
Actionability | Both code examples are complete and executable — the server includes auth middleware ('io.use((socket, next) => … jwt.verify…)') and the Redis adapter wiring, the client includes reconnection with backoff and a message queue — plus a concrete validation command ('npx wscat -c ws://localhost:3000'). Copy-paste ready and covering the common server/client cases. | 5 / 5 |
Workflow Clarity | The six-step Core Workflow has explicit validation checkpoints ('Validate locally — …confirm auth rejection on missing/invalid tokens, room join/leave events' and 'Scale — Verify Redis connection and pub/sub round-trip before enabling the adapter'). It falls short of level 5 because there is no explicit error-recovery feedback loop (validate → fix → retry) or checklist. | 4 / 5 |
Progressive Disclosure | SKILL.md is a concise overview with a well-signaled Topic/Reference/Load-When table pointing to five one-level-deep references (all verified to exist, with no nested references inside them), and the inline code examples are appropriately placed quick-start material. This matches the anchor 'Clear overview with well-signaled one-level-deep references; content appropriately split; easy navigation'. | 5 / 5 |
Total | 18 / 20 Passed |