Content
56%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.
The body presents a well-sequenced four-phase workflow with useful tables and some concrete commands, but it is held back by repeated cross-references, a Phase 2 implementation section that stays at the bullet-direction level without executable code, and — most seriously — a progressive-disclosure layer whose reference links all point to a nonexistent directory while the real scripts/ bundle goes unlinked. Fixing the reference paths to the actual bundle files would raise the skill's practical usability substantially.
Suggestions
Fix the broken reference paths: change './reference/*.md' links to point at the actual bundle location, and add direct links to the real bundle files in scripts/ (evaluation.py, connections.py, example_evaluation.xml, requirements.txt) so the evaluation harness is discoverable.
Consolidate the duplicated link lists: keep one 'Reference Files' section with load-timing annotations and remove the repeated per-phase repetitions of the same five links to cut token cost.
Add one small executable tool-implementation example (e.g., a FastMCP @mcp.tool function with a Pydantic input schema) to Phase 2.3 so the core implementation guidance is concrete rather than bullet-level direction.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient (compact tables, short bullets, minimal concept padding), but the same five reference links are repeated 2-3 times each (e.g., Microsoft MCP Patterns appears in four separate sections) and SDK WebFetch instructions are duplicated in both Phase 1 and the Reference Files section — more than the 'minor instances' of the level-4 anchor. | 3 / 5 |
Actionability | There is some genuinely concrete guidance (specific commands like 'npx @modelcontextprotocol/inspector', 'python -m py_compile your_server.py', WebFetch URLs, and a complete XML output example), but Phase 2 — the core of the skill — is high-level direction ('Create shared utilities: API client with authentication, Error handling helpers') with no executable tool-implementation code, matching the 'some concrete guidance but incomplete' anchor. | 3 / 5 |
Workflow Clarity | Four phases are clearly sequenced (research → implementation → review/test → evaluations) with most checkpoints present: explicit build/test commands in Phase 3, a code-quality review list, and answer-verification plus a requirements checklist in Phase 4. It falls short of level 5 only because there are no explicit error-recovery feedback loops (e.g., what to do when the build or an evaluation fails). | 4 / 5 |
Progressive Disclosure | Structurally the disclosure design is good — a clear overview with well-signaled, load-timing-annotated references ('Load During Phase 2', 'Load During Phase 4') — but all five './reference/*.md' links point to files that do not exist in the bundle (no reference/ directory), and the actual bundle files (scripts/evaluation.py, scripts/connections.py, scripts/example_evaluation.xml, scripts/requirements.txt) are never directly linked, so the navigation layer is broken in practice. | 3 / 5 |
Total | 13 / 20 Passed |