Content
82%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-engineered routing skill: executable quick-starts, a comprehensive intent-to-reference trigger matrix, decision flowcharts, and explicit version-gating and correction tables keep it actionable without teaching known concepts. The main improvements are de-duplicating the reference listings and surfacing the scripts/ directory from the body.
Suggestions
Collapse the 'Reference Files' section (lines 222-245) or the Trigger Matrix rows that duplicate it — one routing surface would cut ~30 lines without losing discoverability.
Add a line in the body pointing to the scripts/ directory (connections.py, evaluation.py, get_environment.py) so the evaluation harness is discoverable without going through references/evaluation-guide.md.
Add a brief fix-and-retry loop around the 'Before deploying: run in-process pytest' checkpoint (e.g., what to do when tests fail) to make the workflow's validation step a full feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense routing material — a trigger matrix, three decision flowcharts, quick-start code, and a corrections table — with essentially zero explanation of concepts Claude already knows, matching the 'efficient; minor instances ... could be trimmed' score-4 anchor. It is not a 5 because there is real duplication: the 'Reference Files' section re-lists all 17 files already routed by the Trigger Matrix, and the Version Gating feature lists overlap substantially with the matrix rows. | 4 / 5 |
Actionability | Quick-start examples are complete and executable ('from fastmcp import FastMCP; mcp = FastMCP("my-server")', 'main.mount(weather, namespace="weather")', 'mcp.add_extension(TasksExtension())' with 'uv add' guidance), and RULE comments plus the v2→v3 corrections table give copy-paste-ready correct syntax. This matches the score-5 anchor: fully executable examples covering the common cases, well beyond the score-4 anchor's 'minor gaps'. | 5 / 5 |
Workflow Clarity | The operating sequence is clear — probe the environment at load time, match user intent in the trigger matrix, apply the v3 corrections and version gating, then test — and there is an explicit validation checkpoint ('run in-process pytest using the in-memory Client transport ... before switching to HTTP transport'). It stops short of the score-5 anchor, which requires explicit fix-and-retry feedback loops and checklists; error-recovery detail is deferred to references rather than stated inline. | 4 / 5 |
Progressive Disclosure | All 17 ./references/*.md files cited in the body exist in the bundle, are one level deep, and are well signaled via both the trigger matrix and per-file descriptions — close to the score-5 anchor. Two organization gaps hold it at 4: the reference inventory is listed twice (trigger matrix plus a separate 'Reference Files' section), and the scripts/ bundle (connections.py, evaluation.py, get_environment.py) is never mentioned in SKILL.md, reachable only through evaluation-guide.md. | 4 / 5 |
Total | 17 / 20 Passed |