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-organized, executable control-plane skill: a concrete scoring command, explicit input-validation feedback loops that address a known ingestion failure mode, and clean separation of detailed scoring rules into real reference files. It is concise and highly actionable for its complexity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational — overview, when-to-use, prerequisites, a copy-paste CLI invocation, output schemas, and key principles — without explaining concepts Claude already knows; each section earns its tokens for an eight-input integration skill. | 3 / 3 |
Actionability | Provides a fully executable command against the real 'scripts/calculate_exposure.py' with every CLI flag, concrete output field names, and a recommendation-to-action mapping table — copy-paste ready matching the score-3 anchor. | 3 / 3 |
Workflow Clarity | Four clearly sequenced steps plus an explicit validation checkpoint ('inspect inputs_provided and inputs_missing ... if a file you passed still appears in inputs_missing ... keep confidence capped') with error-recovery caveats, matching the score-3 anchor of clear sequence with explicit validation and feedback loops. | 3 / 3 |
Progressive Disclosure | The body is an overview pointing to real one-level-deep bundle files — 'references/exposure_framework.md', 'references/regime_exposure_map.md', and 'scripts/calculate_exposure.py' (all present) — with clear resource descriptions, matching the score-3 anchor. | 3 / 3 |
Total | 12 / 12 Passed |