CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

eu-ai-act-specialist

EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams. Three Article-level decisions: (1) What's the risk tier of this AI system — prohibited (Art. 5), high-risk (Art. 6 + Annex III), limited-risk (Art. 50), or minimal-risk? (2) For high-risk systems, what's the Article 43 conformity assessment route (Module A internal control vs Module H full QMS + notified body) and what goes in the Annex IV technical documentation? (3) Per organizational role (provider / deployer / importer / distributor / authorized representative), what are the active obligations and deadlines? Use during AI system intake review, when planning conformity assessment, or when scoping deployer obligations. Cites Articles + Annexes for every output. NOT executive AI strategy (see chief-ai-officer-advisor). NOT a legal substitute.

75

Quality

94%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

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

SKILL.md
Quality
Evals
Security

Quality

Content

86%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 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.

DimensionReasoningScore

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

Description

100%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.

An exemplary description: three concrete Article-cited capabilities, an explicit 'Use during…' trigger clause, natural synonym coverage, and explicit boundary statements against the nearest adjacent skill. It fully matches the rubric's good-example pattern for every dimension.

DimensionReasoningScore

Specificity

The description enumerates three concrete, Article-cited decisions — risk-tier classification with the four named tiers, Article 43 Module A vs Module H conformity route selection with Annex IV documentation, and per-role (provider/deployer/importer/distributor/authorized representative) obligation and deadline determination. This is multiple specific concrete actions with comprehensive coverage, matching the score-5 anchor rather than the 'minor gaps' of score 4.

5 / 5

Completeness

It explicitly answers both 'what' (the three numbered decisions) and 'when' ('Use during AI system intake review, when planning conformity assessment, or when scoping deployer obligations'), matching the score-5 example pattern with concrete trigger phrases.

5 / 5

Trigger Term Quality

It includes the natural phrases a compliance user would actually say — 'EU AI Act' and 'Regulation (EU) 2024/1689' as synonym variants, 'risk tier', 'high-risk', 'conformity assessment', 'deployer obligations', 'AI system intake review'. Coverage is comprehensive for the domain, including the synonym pair users would use interchangeably.

5 / 5

Distinctiveness Conflict Risk

It carves a clear niche (Article-level operational compliance with Regulation 2024/1689) and explicitly disambiguates adjacent skills ('NOT executive AI strategy (see chief-ai-officer-advisor)', 'NOT a legal substitute'), so it is unlikely to trigger for the wrong skill.

5 / 5

Total

20

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

alirezarezvani/claude-skills

Path

ra-qm-team/skills/eu-ai-act-specialist/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.