Content
67%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 body with genuinely concrete commands, Article-cited tables, and goal-directed workflows with explicit ordering gates. Its weaknesses are token efficiency — a keyword-stuffing section, restated disclaimers, and a duplicated role-obligation matrix — and undefined input schemas that leave the script invocations not fully self-contained.
Suggestions
Delete the '## Keywords' section from the body (~40 terms of trigger stuffing); fold any terms not already present — e.g., 'high-risk AI', 'CE marking' — into the frontmatter description where triggers actually belong.
Define the input JSON schemas (fields expected by systems.json, system.json, roles.json) in the Quick Start or a reference file, so the classifier/planner/tracker commands are executable without reading script source.
Move the per-role obligation matrix to references/eu_ai_act_titles.md (which already provides the per-Article obligation breakdown) and keep only the role-identification guidance inline, reducing duplication and body length.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly dense, non-generic operational content (tier tables, Article 6(3) carve-outs, Module A/H routes, per-role obligation matrices), but it carries unnecessary weight: a ~40-term 'Keywords' section that is pure trigger stuffing duplicating the description's job, three 'This skill is NOT...' paragraphs that partly restate the description, and a 'Version/Status' footer duplicating frontmatter metadata. This fits anchor 3 ('Mostly efficient but includes some unnecessary explanation or could be tightened') rather than 2, since the padding is localized rather than pervasive. | 3 / 5 |
Actionability | Concrete, runnable commands throughout: 'python scripts/ai_system_risk_classifier.py path/to/systems.json', planner and tracker invocations, and an Output Standards template with exact fields. The gap keeping this below 5: the input JSON schemas (systems.json, system.json, roles.json) are never defined — the user cannot prepare inputs without reading the scripts' source — and the workflow steps are comment-style directives ('# 1. Document system characteristics...') rather than fully specified procedures. Fits anchor 4 ('Mostly executable guidance; concrete code or commands with minor gaps'). | 4 / 5 |
Workflow Clarity | Four workflows each state a goal, sequenced numbered steps, and time budget; checkpoints exist (Workflow 1 cross-checks with GDPR DPIA and ISO 42001, Workflow 2 gates 'Sign EU declaration of conformity (Article 47) AFTER assessment passes', Workflow 3 is itself a pre-launch confirmation audit). Not 5: there are no re-validate-on-failure loops (e.g., what to do when classification is disputed or the classifier flags a prohibited practice mid-intake) and Workflow 4 lacks a completion check. Not 3: sequences are complete and checkpoints are explicit, not implicit. These are planning/audit workflows, not destructive or batch operations, so the validation cap does not apply. | 4 / 5 |
Progressive Disclosure | Good structure: a Quick Start, three responsibility sections each pointing to one-level-deep references ('See references/eu_ai_act_titles.md', 'See references/high_risk_systems_annex_iii.md', 'See references/gpai_obligations.md'), plus a dedicated References section annotating all four files. Not 5: the inline per-role obligation matrix duplicates content the referenced eu_ai_act_titles.md already covers ('Article-by-Article walkthrough with ... obligation breakdown'), and the Keywords/Adjacent Skills sections inline material that belongs elsewhere. Note: no references/ or scripts/ directories are present in this review bundle, so the referenced paths could not be verified to exist. | 4 / 5 |
Total | 15 / 20 Passed |