Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is a well-structured overview: concise yet actionable, with a sequenced workflow that includes explicit checkpoints and error/feedback loops, and clean one-level-deep progressive disclosure to real reference files. It assumes Claude's competence and offloads detail appropriately. No improvement needed.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids explaining concepts Claude already knows (no primer on what a DOI, API, or preprint is) and keeps the overview lean by offloading per-database detail to reference files; every section earns its place. It stays just below the verbose score-2 anchor that pads with unnecessary explanation. | 3 / 3 |
Actionability | Provides concrete executable guidance: a copy-paste curl example with a real endpoint and fields, exact env-var names, precise rate limits ('3 req/s without key, 10 with', '1 request per 3 seconds'), and identifier formats with examples, matching the fully-executable anchor. | 3 / 3 |
Workflow Clarity | The six-step Core Workflow is clearly sequenced with explicit validation checkpoints (ask before guessing, ask before exceeding ~1,000 records/~50 calls, treat responses as untrusted) plus a four-step Error Recovery and a Completeness 'fail visible, not plausible' loop, satisfying the checkpoint anchor for batch-prone retrieval. | 3 / 3 |
Progressive Disclosure | SKILL.md is a clear overview with ten real, one-level-deep reference files (all present in references/), each signaled via the Available Databases table and a 'read the reference file before calling' directive, giving easy navigation with no nested-reference chaining. | 3 / 3 |
Total | 12 / 12 Passed |