Content
86%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 operational skill: executable commands with embedded samples, Article-cited tables instead of tutorial prose, and a clean overview-plus-references split. The main improvements are trimming the inline keyword list and boundary paragraphs, and adding explicit feedback loops to the workflows for disputed or changed classifications.
Suggestions
Move the 55-entry Keywords list out of the body (or cut it to the ~10 terms users actually type), since frontmatter description and the reference files already carry discoverability.
Add a feedback loop to Workflow 1, e.g., 'If the classifier output is disputed, re-run the Article 6(3) carve-out test and record the rationale in the classification memo'.
Condense the three 'NOT…' boundary paragraphs into one short scoping line plus links, keeping the chief-ai-officer-advisor and gdpr-dsgvo-expert cross-references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with genuinely non-obvious domain content (Module A/H routes, Article 6(3) carve-outs, role matrices, phasing deadlines) presented in compact tables rather than prose explaining concepts Claude already knows. However, the 55-entry inline Keywords list and the three 'NOT…' boundary paragraphs are padding that could be trimmed, which keeps it at score 4 rather than 5. | 4 / 5 |
Actionability | Quick Start gives copy-paste-ready commands that run standalone via embedded samples ('python scripts/ai_system_risk_classifier.py'), each workflow names the exact script, input, and output artifact, and the Output Standards block is a concrete response template. The common cases are covered end-to-end, matching the score-5 anchor. | 5 / 5 |
Workflow Clarity | Four workflows are clearly sequenced with numbered steps, and Workflow 3 is itself a pre-deployment validation checklist with per-item checkpoints. It falls short of 5 because no explicit feedback loops are given (e.g., what to do when a classification is disputed or re-run after system changes); the workflows produce compliance documents rather than perform destructive/batch writes, so the score-3 cap for missing validation on destructive operations does not apply. | 4 / 5 |
Progressive Disclosure | The body is an overview and correctly pushes detail into four real, one-level-deep reference files (eu_ai_act_titles.md, high_risk_systems_annex_iii.md, gpai_obligations.md, cross_framework_mapping_ai_act.md — all verified present in references/), each clearly signaled both inline ('See references/… for…') and in a dedicated References section, with the three scripts appropriately separate. Navigation is easy and nothing is deeply nested. | 5 / 5 |
Total | 18 / 20 Passed |