Content
71%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-structured, article-cited compliance skill with concrete scripts and a detailed output template. Its main weaknesses are missing validation feedback loops and references to scripts/adjacent skills that are not present in the bundle.
Suggestions
Add an explicit validation/verify checkpoint in the Workflow (e.g., confirm classifier output tier before running the conformity planner) to support the batch compliance operation and lift workflow_clarity.
Either ship the referenced scripts under ./scripts/ or rephrase the inline 'Run X.py' calls as placeholders so readers know the bundle is not self-contained.
Briefly describe the expected shape of systems.json / system.json / roles.json inputs so the scripts are runnable without guessing.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean, article-cited bullets with minimal padding; assumes Claude's knowledge of the AI Act. Minor tightening possible in the Article 5/6 category enumerations. | 4 / 5 |
Actionability | Provides concrete executable script invocations in the Workflow and per-question 'Run X.py' calls, plus a fully specified output template. Minor gaps: input file shapes (systems.json/system.json) are not described. | 4 / 5 |
Workflow Clarity | Clear numbered 4-step workflow with per-step script commands and a STOP gate on Article 5 prohibition, but explicit validate-then-retry feedback loops are absent for the batch/compliance operations. | 4 / 5 |
Progressive Disclosure | Good section organization, but referenced bundle scripts (ai_system_risk_classifier.py, conformity_assessment_planner.py, etc.) do not exist in ./scripts/, and cross-skill links point outside the bundle with no on-disk files to navigate to. | 3 / 5 |
Total | 15 / 20 Passed |