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.
A well-crafted, highly actionable skill body with executable code, an explicitly sequenced and validated workflow, and clean progressive disclosure to verified reference files. The only weakness is mild verbosity in a few prose-heavy orientation sections.
Suggestions
Tighten the 'Choosing the right tool' section: convert the long prose orientation into a compact table or bulleted decision list keyed by function/modality to reduce token load.
Condense the 'Job settings, schemas, and validation' prose by moving the deep schema-shape distinctions (trimmed vs full, gating keys) into api_reference.md, leaving a one-line pointer plus the validateJob rule inline.
Consider trimming the repeated 'Always getJobSchema/validateJob' reminders now scattered across sections into a single stated invariant near the core workflow to reduce redundancy.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean and assumes Claude's competence (no basics about what AlphaFold/PDB/REST are), focusing on non-obvious API gotchas; however some dense prose sections like 'Choosing the right tool' and 'Job settings' could be tightened. Not 5 due to minor verbosity; not 3 because most tokens earn their place and basics are not re-explained. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready Python and curl code covering discovery, submission, polling, and result download, with specific field constraints (e.g. jobName regex, length) and a concrete batch example plus an error-action table. | 5 / 5 |
Workflow Clarity | The core workflow is explicitly sequenced (discover -> schema -> validate -> submit -> poll -> results) with numbered code steps, an explicit validateJob checkpoint before submit, and batch-polling feedback loops that break on terminal statuses including AggregationFailed. Validation is present, so the batch/destructive cap does not apply. | 5 / 5 |
Progressive Disclosure | SKILL.md is a well-organized overview that points to four real, one-level-deep reference files (examples.md, api_reference.md, tool_catalog.md, workflows.md), each clearly signaled with a description of its contents; navigation is easy and content is appropriately split. | 5 / 5 |
Total | 19 / 20 Passed |