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.
The body is actionable and well-structured with concrete commands and a verification step, leaning efficient though slightly padded in the intro. The main gap is that the verify step is not explicitly linked to the troubleshooting recovery path.
Suggestions
Trim the promotional intro line and the "just ask naturally" example questions to tighten token usage.
Add an inline link from the Verify section to Troubleshooting (e.g., "If tooluniverse is missing, see Troubleshooting") to close the validation feedback loop.
Make the install sequence an explicit numbered checklist so the prerequisites → install → restart → verify order is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with executable commands and tables, but the promotional intro ("an MCP server exposing 1000+ scientific tools plus 120+ research skills — all auto-configured") and the illustrative "just ask naturally" example questions are minor padding that could be trimmed. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready commands cover the common cases (uv/agy version checks, agy plugin install, agy plugin list, export of API keys, uv cache clean, uv python install), matching the top anchor. | 5 / 5 |
Workflow Clarity | Clear sequence (Prerequisites → Install → Restart → Verify) with an explicit validation section showing expected output, but the verify-to-troubleshooting feedback loop is not wired inline, leaving a minor validation gap. | 4 / 5 |
Progressive Disclosure | Well-organized into clear sections (Prerequisites, Install, Verify, What you get, API keys, Update, Troubleshooting) with content appropriately placed inline; no external references are needed, though the file exceeds the 50-line simple-skill threshold so the structure exception does not fully apply. | 4 / 5 |
Total | 17 / 20 Passed |