Content
92%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.
An exceptionally well-constructed operational skill body: executable examples, a validated multi-step workflow with feedback loops, and clean one-level-deep progressive disclosure to real bundle files. Only minor conciseness gains are available in the framing prose.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, high-signal operational knowledge (failure modes, rate limits, identifier traps) that Claude does not already know, with little concept padding. A few philosophical framing passages ('A literature lookup is only as trustworthy as it is repeatable') and some elaborated rationale could be trimmed without losing clarity. | 4 / 5 |
Actionability | Copy-paste-ready curl commands with headers and --data-urlencode, concrete python3 script invocations with flags, parameter tables, and specific endpoints covering the common cases across all eleven APIs. | 5 / 5 |
Workflow Clarity | A sequenced 7-step Core Workflow with explicit validation checkpoints ('Treat every response as untrusted', 'Count first', 'Reconcile counts', 'Fail visible, not plausible'), an error-recovery feedback loop, and the 429/503 retry-then-report guidance for batch/exhaustive operations. | 5 / 5 |
Progressive Disclosure | SKILL.md is a well-signaled overview pointing one level deep to per-database references/*.md files and scripts/*.py, all of which exist on disk; tables and 'Read the reference file' cues make navigation easy and no content is buried or nested 2+ levels. | 5 / 5 |
Total | 19 / 20 Passed |