Content
80%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 highly actionable and well-structured with real, clearly signaled reference files, but its batch workflows lack explicit validation/verification checkpoints, which caps workflow clarity. Tightening a few verbose sections would further improve conciseness.
Suggestions
Add explicit validation steps to the workflow patterns (e.g., verify non-empty filtered output, check for failed SMILES parses, confirm expected DataFrame columns before writing).
Trim the Citing block or relocate it to a reference file to reduce non-instructional tokens in the main body.
Replace the placeholder lambda body in the Scaffold Constraints example with a concrete callback or a clear note that the function is user-supplied.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and mostly earns its tokens — lean per-capability code blocks, a brief overview, and a useful version note — but the overall volume (8 capabilities, 3 workflows, best practices, citation block) leaves a few sections that could be trimmed without loss. | 4 / 5 |
Actionability | Nearly every section provides copy-paste-ready, executable Python with imports and expected outputs (e.g. RuleFilters, CommonAlertsFilters, QueryFilter), and the batch script is invoked with a concrete command line — fully covering the common cases. | 5 / 5 |
Workflow Clarity | The three Workflow Patterns give clear sequences, but they are batch operations on compound libraries (read CSV → filter → write CSV) with no explicit validation or verification checkpoints, which the rubric caps at 3 for batch operations. | 3 / 5 |
Progressive Disclosure | SKILL.md is a well-organized overview that signals one-level-deep references to real bundle files — references/api_guide.md, references/rules_catalog.md, and scripts/filter_molecules.py — each described with a usage example, keeping detail appropriately split and easy to navigate. | 5 / 5 |
Total | 17 / 20 Passed |