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ai-act-readiness

/cs:ai-act-readiness <system> — EU AI Act 6-question forcing interrogation. Use during AI-system intake, before EU deployment, or during annual compliance refresh as Article 113 obligations phase in (2025-02-02 / 2025-08-02 / 2026-08-02 / 2027-08-02).

65

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is ai-act-readiness in alirezarezvani/claude-skills

SKILL.md
Quality
Evals
Security

Quality

Content

75%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, citation-dense compliance skill: concrete commands, explicit decision gates, and a complete output template. The consistent weakness across dimensions is self-containment and closed-loop validation — external script dependencies with unspecified inputs, and no re-validation cycle after remediation.

Suggestions

Document the expected input schemas for systems.json / roles.json (or bundle the referenced scripts locally) so the workflow commands are fully executable without guessing inputs.

Add an explicit feedback loop: after gap remediation, re-run ai_system_risk_classifier.py and re-issue the verdict until it is READY-FOR-EU.

Remove the opening paragraph that restates the frontmatter description, since the When to Run list already covers the same triggers.

DimensionReasoningScore

Conciseness

The body is dense operational reference — Article citations, penalty amounts, category lists, and a concrete output template — with almost no explanation of concepts Claude already knows. Minor trimmable redundancy exists: the opening paragraph ('The EU AI Act compliance operator pressure-tests...') duplicates the frontmatter description and the When to Run list. Anchor 4 ('efficient; minor instances of over-explanation that could be trimmed') fits better than anchor 5.

4 / 5

Actionability

The Workflow gives four concrete, copy-paste-form commands with arguments (e.g., 'python ra-qm-team/skills/eu-ai-act-specialist/scripts/ai_system_risk_classifier.py systems.json'), each question names its script, and the Output Format is a fill-in template with defined values. The gap keeping it from anchor 5: the scripts live in another skill's directory (no scripts/ bundle in this skill), and the expected input schemas (systems.json, roles.json) are unspecified, so the commands are not fully self-contained.

4 / 5

Workflow Clarity

A clear numbered sequence with explicit branching ('2. If high-risk: conformity assessment') and a hard gate ('If yes → STOP. Cannot place on EU market'), plus checklist-style questions and a 'Legal Review Required' escalation section in the output. Minor validation gaps remain: no explicit re-validation loop (e.g., re-run the classifier after remediation until the verdict is READY-FOR-EU), matching anchor 4 rather than anchor 5's explicit feedback loops.

4 / 5

Progressive Disclosure

No bundle files exist (no references/, scripts/, or assets/ in this skill); the body is self-contained with well-labeled sections (When to Run, Six Questions, Workflow, Output Format, Routing, Related) and one-level cross-references to sibling skills clearly listed under Routing/Related. Minor gaps: the Related paths are cryptic relative paths ('../../../ra-qm-team/skills/...') and the workflow's scripts live in another skill's tree, slightly blurring what is local versus external — anchor 4 fits better than anchor 5.

4 / 5

Total

16

/

20

Passed

Description

82%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description that explicitly answers both what and when with concrete, dated trigger contexts and a well-defined EU AI Act niche. Its main weakness is capability coverage: it names a single composite action (6-question interrogation) rather than enumerating the specific operations the skill performs.

Suggestions

Enumerate 2-3 concrete capabilities in the description (e.g., 'classify risk tier per Articles 5-6, route conformity assessment per Article 43, map per-role obligations per Article 25') to lift specificity from one composite action to several distinct actions.

Add one or two natural synonyms users might say, such as 'AI Act compliance check' or 'conformity assessment', to broaden trigger term coverage.

DimensionReasoningScore

Specificity

The description names the domain precisely ("EU AI Act") and one concrete action ("6-question forcing interrogation") plus concrete Article 113 phase-in dates, but it does not list several distinct capabilities — anchor 3 ("names domain and 1-2 concrete actions, but not comprehensive") is the closest match. Anchor 4 requires several specific actions (e.g., classify risk, route conformity assessment, map obligations), which are only inferable from the body, not stated.

3 / 5

Completeness

Both what and when are explicit with concrete trigger phrases: what — "EU AI Act 6-question forcing interrogation"; when — "Use during AI-system intake, before EU deployment, or during annual compliance refresh as Article 113 obligations phase in (2025-02-02 / 2025-08-02 / 2026-08-02 / 2027-08-02)". This matches anchor 5; anchor 4's weaker/implicit 'when' does not apply.

5 / 5

Trigger Term Quality

Natural trigger terms are present and domain-appropriate: "AI-system intake", "before EU deployment", "annual compliance refresh", "Article 113". A few natural variations users might say are missing (e.g., "AI Act compliance check", "conformity assessment", "high-risk classification"), matching anchor 4 ("good keyword coverage; a few natural terms missing") rather than the comprehensive synonym coverage of anchor 5.

4 / 5

Distinctiveness Conflict Risk

"EU AI Act" with Article 113 phasing dates carves out a clear niche with minimal overlap risk — a user mentioning EU AI Act readiness or EU deployment compliance would unambiguously land here rather than on general compliance, GDPR, or ISO 42001 skills. Matches anchor 5 ("clear niche with distinct triggers; minimal conflict risk").

5 / 5

Total

17

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 2 suspicious

Warning

Total

15

/

16

Passed

Repository

alirezarezvani/claude-skills

Path

.gemini/skills/ai-act-readiness/SKILL.md

Reviewed

Table of Contents

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