[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-eed166a6-42d2-41f4-ad44-5307c2b6326e":3,"$fKc37gcrbamMWmzluUK-b7vsoBdrb7tAcpMrWuWeyjNI":43},{"id":4,"title":5,"description":6,"categoryId":7,"moduleId":8,"tags":9,"prompt":10,"icon":11,"source":12,"sourceUrl":13,"authorId":14,"authorName":15,"isPublic":16,"stars":17,"runs":18,"createdAt":19,"updatedAt":19,"module":20,"category":27,"packages":34},"eed166a6-42d2-41f4-ad44-5307c2b6326e","ai-act-readiness","欧盟人工智能法案6问强制询问。在人工智能系统接入、欧盟部署前或年度合规更新期间（2025-02-02 \u002F 2025-08-02 \u002F 2026-08-02 \u002F 2027-08-02）使用。","cat_life_career","mod_other","alirezarezvani,other","---\nname: \"ai-act-readiness\"\ndescription: \"\u002Fcs:ai-act-readiness \u003Csystem> — 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 \u002F 2025-08-02 \u002F 2026-08-02 \u002F 2027-08-02).\"\n---\n\n# \u002Fcs:ai-act-readiness — EU AI Act Forcing Questions\n\n**Command:** `\u002Fcs:ai-act-readiness \u003Csystem>`\n\nThe EU AI Act compliance operator pressure-tests any AI system before EU deployment. Six Article-cited questions before any EU placement, conformity assessment, or annual compliance refresh.\n\n## When to Run\n\n- During AI-system intake review (per new system or material change)\n- Before placing an AI system on the EU market\n- Before signing the EU declaration of conformity (Article 47)\n- During annual compliance refresh (Article 113 phasing brings new obligations)\n- When the organization's role changes (deployer becomes provider via Article 25(1) substantial modification)\n- When training compute approaches 10^25 FLOPs (Article 51 systemic-risk threshold)\n\n## The Six EU AI Act Questions\n\n### 1. Article 5: Is this a prohibited AI practice?\n**Penalty: up to 35M EUR or 7% worldwide turnover.**\n- 8 categories: subliminal manipulation, exploitation of vulnerabilities, social scoring, predictive policing, untargeted facial scraping, emotion recognition in workplace\u002Feducation, biometric categorisation by sensitive attributes, real-time public biometric ID by law enforcement\n- Run `ai_system_risk_classifier.py`\n- If yes → STOP. Cannot place on EU market. No exceptions outside Article 5(2) carve-outs.\n\n### 2. Article 6 + Annex III: Is this high-risk?\n**Annex III triggers high-risk; Article 6(3) carve-out conditional.**\n- 8 categories: biometrics, critical infrastructure, education, employment, essential services, law enforcement, migration, justice\n- Carve-out applies only if Article 6(3)(a)-(d) AND no profiling of natural persons\n- Profiling overrides carve-out (Article 6(3) last sentence)\n- Run `ai_system_risk_classifier.py`\n\n### 3. Article 43: For high-risk, Module A or Module H?\n**Biometrics → Module H (notified body) by default; others → Module A if harmonised standards applied.**\n- Run `conformity_assessment_planner.py`\n- Module A (Annex VI): internal control with presumption of conformity if Article 40 harmonised standards applied\n- Module H (Annex VII): full QMS + notified body for biometrics or where standards lacking\n- Annex IV technical documentation: 8 items required before placing on market\n\n### 4. Article 25: What role does the company play?\n**Provider obligations are heaviest; substantial modification turns deployer into provider.**\n- Provider (Article 3(3)): placed on market; full Title III + Article 73 reporting\n- Deployer (Article 3(4)): Article 26 obligations + Article 27 FRIA if public sector\n- Importer (Article 3(6)): Article 23 verification of conformity\n- Distributor (Article 3(7)): Article 24 CE marking verification\n- Authorized representative (Article 22): non-EU providers must appoint\n- Run `ai_act_obligation_tracker.py`\n\n### 5. Article 50: Are transparency obligations satisfied?\n**In force 2 Aug 2025.**\n- Article 50(1): disclose AI interaction to natural persons (chatbots, virtual agents)\n- Article 50(2): mark synthetic content as AI-generated\n- Article 50(3): disclose emotion recognition \u002F biometric categorisation (outside Article 5 prohibitions)\n- Article 50(4): disclose deepfakes (image, audio, video) as AI-generated\n\n### 6. Articles 51-55: Is this a GPAI? Does it have systemic risk?\n**GPAI has parallel track; systemic risk above 10^25 FLOPs.**\n- Article 3(63): general-purpose AI model definition\n- Article 51: systemic-risk presumption (≥ 10^25 FLOPs training compute) or Commission designation\n- Article 53: all GPAI providers — Annex XI technical docs, Annex XII downstream info, copyright policy, training-data summary\n- Article 55: systemic-risk GPAI additional obligations — model evaluations, adversarial testing, incident reporting, cybersecurity\n- Article 54: non-EU GPAI providers must appoint authorized representative\n\n## Workflow\n\n```bash\n# 1. Risk classification\npython ..\u002F..\u002Fra-qm-team\u002Fskills\u002Feu-ai-act-specialist\u002Fscripts\u002Fai_system_risk_classifier.py systems.json\n\n# 2. If high-risk: conformity assessment\npython ..\u002F..\u002Fra-qm-team\u002Fskills\u002Feu-ai-act-specialist\u002Fscripts\u002Fconformity_assessment_planner.py system.json\n\n# 3. Per-role obligation matrix\npython ..\u002F..\u002Fra-qm-team\u002Fskills\u002Feu-ai-act-specialist\u002Fscripts\u002Fai_act_obligation_tracker.py roles.json\n\n# 4. Cross-framework reuse (ISO 42001 etc.)\npython ..\u002F..\u002Fskills\u002Fcompliance-os\u002Fscripts\u002Fcross_framework_mapper.py program.json\n```\n\n## Output Format\n\n```markdown\n# EU AI Act Readiness: \u003Csystem>\n**Date:** YYYY-MM-DD\n**Article Citations:** Every verdict below cites the specific Article.\n\n## The Decision Being Made\n[classify | conformity-route | obligation-scope | annual-refresh]\n\n## Risk Classification\n- Tier: prohibited | high_risk | limited_risk | minimal_risk\n- Citation: Article X(Y) + Annex Z if applicable\n- Rationale: \u003CArticle-cited rationale>\n- GPAI: yes\u002Fno\n- Systemic-risk GPAI: yes\u002Fno (per Article 51 10^25 FLOPs threshold)\n\n## Conformity Assessment (if high-risk)\n- Module: A | A_with_caveats | H | sectoral\n- Citation: Article 43 + Annex VI\u002FVII\n- Notified body required: yes | no | optional\n- Annex IV pack status: complete | in-progress | not-started\n\n## Obligation Matrix\n- Total obligations: N\n- By deadline phase: 2025-02-02=A, 2025-08-02=B, 2026-08-02=C, 2027-08-02=D\n- Highest-priority unmet obligation: \u003CArticle + description>\n\n## Transparency (Article 50)\n- 50(1) interaction disclosure: yes | no\n- 50(2) synthetic content marking: yes | no | NA\n- 50(3) emotion recognition disclosure: yes | no | NA\n- 50(4) deepfake disclosure: yes | no | NA\n\n## Cross-Framework Reuse\n- ISO 42001 evidence applicable to Article 17 QMS: yes\u002Fno\n- ISO 27001 evidence applicable to Article 15 cybersecurity: yes\u002Fno\n- GDPR DPIA usable for Article 27 FRIA: yes\u002Fno\n\n## Verdict\n🟢 READY-FOR-EU | 🟡 GAPS-IDENTIFIED | 🔴 NOT-READY | 🚫 PROHIBITED\n\n## Top 3 Actions\n[3 concrete next steps with owner + Article-tied deadline]\n\n## Legal Review Required\n[Article-level ambiguities flagged for outside counsel: novel cases, GPAI threshold disputes, Article 5 boundary cases, Article 25 substantial-modification questions]\n```\n\n## Routing\n\n- `\u002Fcs:compliance-readiness` — for multi-framework view (combine with ISO 42001 + GDPR)\n- `\u002Fcs:aims-audit` — for ISO 42001 deep-dive\n- `\u002Fcs:caio-review` — for executive AI strategy decisions\n- `\u002Fcs:gc-review` — for novel-case legal review (GPAI threshold, Article 5 boundary, substantial-modification)\n- `\u002Fcs:decide` — to log the verdict\n- `\u002Fcs:freeze 30` — on EU launch commitments (regulatory exposure)\n\n## Related\n\n- Agent: [`cs-ai-act-compliance`](..\u002F..\u002Fagents\u002Fcs-ai-act-compliance.md)\n- Skill: [`eu-ai-act-specialist`](..\u002F..\u002F..\u002Fra-qm-team\u002Fskills\u002Feu-ai-act-specialist\u002FSKILL.md)\n- Adjacent: `..\u002F..\u002Fskills\u002Fcompliance-os\u002F`, `..\u002Faims-audit\u002F`, `..\u002Fcompliance-readiness\u002F`, `..\u002F..\u002F..\u002Fra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert\u002F`\n\n---\n\n**Version:** 1.0.0\n","","imported","https:\u002F\u002Fgithub.com\u002Falirezarezvani\u002Fclaude-skills","user_system_seed","SkillOPIC",true,211,1950,"2026-05-16 13:52:24",{"id":8,"name":21,"slug":22,"icon":23,"description":24,"sort":25,"createdAt":26},"其他","other","mdi-page-next-outline","其他类型Skill",5,"2026-05-16 12:53:40",{"id":7,"name":28,"slug":29,"icon":30,"description":31,"moduleId":8,"sort":32,"skillCount":33,"createdAt":26},"职场发展","career","mdi-briefcase-outline","面试准备、简历优化、职业规划",4,575,[35],{"id":36,"skillId":4,"version":37,"fileName":38,"fileSize":39,"filePath":40,"fileHash":41,"manifest":42,"createdAt":19},"504e7dc6-c35c-4622-b684-c15e1e451d5b","1.0.0","ai-act-readiness.zip",3099,"uploads\u002Fskills\u002Feed166a6-42d2-41f4-ad44-5307c2b6326e\u002Fai-act-readiness.zip","9a0c961ef440a620841fbcab7be786a0cc8f3417b2e72d0bc236c16d3009a59b","[{\"path\":\"SKILL.md\",\"isDirectory\":false,\"size\":7147}]",{"code":44,"message":45,"data":46},200,"success",{"items":47,"stats":48,"page":51},[],{"averageRating":49,"totalRatings":49,"ratingCounts":50},0,[49,49,49,49,49],{"limit":52,"offset":49,"hasMore":53,"nextOffset":52,"ratedOnly":16},15,false]