Content
67%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 orchestrating skill: a clear four-phase workflow with concrete commands, URLs, and validation checkpoints, deferring language-specific detail to clearly signaled reference guides. The main costs are token redundancy — the trailing 'Reference Files' section and parts of Phase 4 duplicate content already stated earlier — and the absence of explicit error-recovery loops in the build/test phase.
Suggestions
Collapse the trailing 'Reference Files' documentation library into the phase sections where each guide is first cited (or keep only the library and drop the inline citations), removing ~40 lines of duplicate links and summaries.
In Phase 4, either fully delegate to evaluation.md ('Load the Evaluation Guide and follow its process') or inline the requirements — currently both the process steps and the question requirements are stated twice in the body.
Add an explicit feedback loop in Phase 3, e.g. 'If the build or inspector run fails, fix the errors and re-run before moving to Phase 4', to make the validation checkpoints gated rather than implied.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The four-phase process is mostly tight, but there is real redundancy and padding: the closing 'Reference Files' section (~40 lines) re-lists the same four guide links and SDK URLs already given in Phase 1, each with bullet summaries of their contents; Phase 4 says 'follow the process outlined in the evaluation guide' and then restates that process and requirements inline; and 'high-quality SDK support... AI models are good at generating TypeScript code, benefiting from its broad usage, static typing and good linting tools' is justification Claude does not need. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened' rather than the minor-trim level of 4. | 3 / 5 |
Actionability | Concrete, executable specifics are given throughout: exact URLs with the '.md' suffix fetch trick ('https://modelcontextprotocol.io/sitemap.xml', raw GitHub SDK READMEs), exact commands ('npm run build', 'npx @modelcontextprotocol/inspector', 'python -m py_compile your_server.py'), named libraries (Zod, Pydantic), the four annotation flags, and a filled-in XML qa_pair example. It is not 5 because the core Phase 2 implementation guidance is checklist-level ('API client with authentication', 'Error handling helpers') with no code in the body — the code is delegated to the reference guides — leaving minor gaps. | 4 / 5 |
Workflow Clarity | The four phases (Deep Research and Planning → Implementation → Review and Test → Create Evaluations) are clearly sequenced with numbered subsections and validation checkpoints: 'Run npm run build to verify compilation', 'Verify syntax: python -m py_compile', 'Test with MCP Inspector', and 'Answer Verification: Solve each question yourself to verify answers'. It falls short of 5 because there is no explicit error-recovery loop (no 'if the build/validation fails, fix and re-run before proceeding'), so it matches 'clear sequence with most checkpoints present; minor validation gaps'. No destructive/batch-operation cap applies since evaluation questions are explicitly required to be read-only. | 4 / 5 |
Progressive Disclosure | The body is an overview-plus-process that defers detail to one-level-deep, well-signaled references with load timing ('Load During Phase 1/2', 'Load During Phase 4') and descriptive summaries. It is not 5 for two organizational reasons: the same four references are linked twice (inlined in Phases 1-2 and again in the trailing 'Reference Files' library), and the referenced './reference/*.md' files are not present in the provided bundle (no references/ directory), so the links cannot be verified to resolve. This places it at 'good structure; most content appropriately placed; references mostly clear; minor organization gaps'. | 4 / 5 |
Total | 15 / 20 Passed |