AI Act High Risk Docs
mukul975/Privacy-Data-Protection-Skills
Preparing EU AI Act compliance documentation for high-risk AI systems.
EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams.
$ npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alirezarezvani/claude-skills eu-ai-act-specialist --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ra-qm-team/skills/eu-ai-act-specialist .claude/skills/eu-ai-act-specialist && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "eu-ai-act-specialist" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/ra-qm-team/skills/eu-ai-act-specialist into .claude/skills/eu-ai-act-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-specialist", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alirezarezvani/claude-skills/tree/main/ra-qm-team/skills/eu-ai-act-specialistType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alirezarezvani/claude-skills eu-ai-act-specialist --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ra-qm-team/skills/eu-ai-act-specialist .agents/skills/eu-ai-act-specialist && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "eu-ai-act-specialist" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/ra-qm-team/skills/eu-ai-act-specialist into .agents/skills/eu-ai-act-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-specialist", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alirezarezvani/claude-skills eu-ai-act-specialist --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ra-qm-team/skills/eu-ai-act-specialist .cursor/skills/eu-ai-act-specialist && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "eu-ai-act-specialist" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/ra-qm-team/skills/eu-ai-act-specialist into .cursor/skills/eu-ai-act-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-specialist", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alirezarezvani/claude-skills.git --path ra-qm-team/skills/eu-ai-act-specialist--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alirezarezvani/claude-skills eu-ai-act-specialist --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ra-qm-team/skills/eu-ai-act-specialist .gemini/skills/eu-ai-act-specialist && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "eu-ai-act-specialist" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/ra-qm-team/skills/eu-ai-act-specialist into .gemini/skills/eu-ai-act-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-specialist", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alirezarezvani/claude-skills eu-ai-act-specialistInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ra-qm-team/skills/eu-ai-act-specialist .github/skills/eu-ai-act-specialist && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "eu-ai-act-specialist" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/ra-qm-team/skills/eu-ai-act-specialist into .github/skills/eu-ai-act-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-specialist", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alirezarezvani/claude-skills eu-ai-act-specialist --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ra-qm-team/skills/eu-ai-act-specialist .opencode/skills/eu-ai-act-specialist && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "eu-ai-act-specialist" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/ra-qm-team/skills/eu-ai-act-specialist into .opencode/skills/eu-ai-act-specialist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-specialist", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
eu-ai-act-specialistEU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams.
Eu AI Act Specialist is an agent skill from alirezarezvani/claude-skills. 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 /…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/cross_framework_mapping_ai_act.md`, `references/eu_ai_act_titles.md` and `references/gpai_obligations.md`).
It sits in Legal & Compliance, covering AI governance and Technical documentation. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Eu AI Act Specialist loads about 3.7k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 214 tokens; SKILL.md has 1,335 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 1,335 words, ~3,733 tokens.
.claude/skills/eu-ai-act-specialist/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Article-cited operational skill for Regulation (EU) 2024/1689. Three decisions, no executive AI strategy:
This skill is NOT chief-ai-officer-advisor. CAIO decides whether to ship the AI feature at all and accepts business risk. This skill operates the conformity work that turns "we'll ship it" into Article-compliant artefacts.
This skill is NOT a legal substitute. The Act is binding regulation. For novel cases (Is this a GPAI model? Does Article 6(2) carve-out apply? Is fine-tuning a foundation model "substantial modification"?), engage qualified outside counsel. The skill cites Articles + Annexes and uses Commission/EDPB published interpretation but does not provide binding legal opinion.
This skill is NOT GDPR. Many AI systems also trigger GDPR (training data, output processing). See ra-qm-team/skills/gdpr-dsgvo-expert/ for DPIA + lawful basis work. The Acts interact (Recital 10, Article 10 for high-risk training data).
EU AI Act, EU AI Regulation, Regulation 2024/1689, AI Act, AI regulation Europe, high-risk AI, prohibited AI, Article 5 AI Act, Article 6 AI Act, Article 9 AI Act, Article 50 AI Act, Annex III, Annex IV, conformity assessment, CE marking AI, notified body AI, Module A, Module H, technical documentation AI, post-market monitoring AI, fundamental rights impact assessment, FRIA, GPAI, general-purpose AI model, systemic risk GPAI, AI Office, ENISA AI, EDPB AI, AI Act timeline, AI Act penalties, EU AI Act provider, EU AI Act deployer, EU AI Act importer, EU AI Act distributor, EU AI Act fines, AI literacy
# Decision A: Classify an AI system per the Act
python scripts/ai_system_risk_classifier.py # embedded 5-system sample
python scripts/ai_system_risk_classifier.py path/to/systems.json
# Decision B: Conformity assessment plan for a high-risk system
python scripts/conformity_assessment_planner.py # embedded high-risk sample
python scripts/conformity_assessment_planner.py path/to/system.json
# Decision C: Obligation tracker per organizational role
python scripts/ai_act_obligation_tracker.py # embedded sample (provider + deployer)
python scripts/ai_act_obligation_tracker.py path/to/roles.jsonThe framework: The Act takes a risk-based approach (Recital 26). Each AI system falls into exactly one of four tiers:
| Tier | Source | Examples | Obligations |
|---|---|---|---|
| Prohibited | Article 5 | Social scoring; emotion recognition in workplace/education; subliminal manipulation; real-time public biometrics by law enforcement (with narrow exceptions) | Cannot be placed on market or used (penalties up to EUR 35M / 7% turnover) |
| High-risk | Article 6 + Annex III; Article 6(1) + Annex I | CV-screening, credit scoring, biometric categorisation, safety components of regulated products | Articles 8–17 (provider) + Article 26 (deployer); conformity assessment; CE marking |
| Limited-risk (transparency) | Article 50 | Chatbots, deepfakes, emotion recognition outside Article 5 contexts | Transparency disclosures to natural persons |
| Minimal-risk | Default | Spam filters, video-game AI, inventory forecasters | None under the Act (voluntary codes of conduct, Article 95) |
Critical carve-outs (Article 6(3)): an Annex III system is NOT high-risk if it (a) performs a narrow procedural task, (b) improves the result of previously completed human activity, (c) detects decision-making patterns without replacing human assessment, (d) performs a preparatory task. Caveat: profiling of natural persons is always Annex III high-risk regardless of carve-outs.
Run ai_system_risk_classifier.py with system characteristics. The tool checks Article 5 prohibitions first, then Annex III categories, then Article 6(3) carve-outs, then Article 50 transparency, then minimal-risk default.
See references/eu_ai_act_titles.md for the full Article-by-Article walkthrough.
The framework (Article 43 + Annex VI/VII): for high-risk AI systems, the provider must demonstrate conformity before placing on market. Two routes:
Required artifacts per Annex IV — Technical Documentation:
Run conformity_assessment_planner.py to select the Module and produce the Annex IV checklist for a given high-risk system.
See references/high_risk_systems_annex_iii.md for which systems require which conformity route.
The framework (Articles 16, 22, 23, 24, 25, 26): the Act distinguishes provider obligations (most) from downstream-actor obligations (deployer, importer, distributor, authorized representative). A single company can play multiple roles simultaneously.
| Role | Primary Articles | Key obligations |
|---|---|---|
| Provider (Article 3(3)) | 8–17, 47, 49, 72 | Conformity assessment; CE marking; risk management; data governance; technical documentation; post-market monitoring; serious incident reporting (Article 73) |
| Deployer (Article 3(4)) | 26 | Use according to instructions; human oversight; input data quality; record-keeping (Article 19); inform workers (Article 26(7)); FRIA if public-sector/essential-services (Article 27) |
| Importer (Article 3(6)) | 23 | Verify conformity; affixed CE marking; technical documentation availability |
| Distributor (Article 3(7)) | 24 | Verify CE marking + documentation before making available |
| Authorized representative (Article 22) | 22 | Non-EU providers must appoint one; representative liable for provider obligations |
Important: under Article 25, a deployer who substantially modifies a high-risk AI system, or places it on the market under their own name, becomes a provider and inherits provider obligations.
Run ai_act_obligation_tracker.py with the roles JSON to produce a deadline-sorted obligation matrix.
See references/gpai_obligations.md for the separate GPAI Articles 51–55 track.
Goal: classify, identify obligations, scope the conformity work.
# 1. Document system characteristics: purpose, users, data, autonomy, deployment context
# 2. Run classifier
python scripts/ai_system_risk_classifier.py systems.json
# 3. If high-risk: run planner
python scripts/conformity_assessment_planner.py system.json
# 4. Identify org roles played (provider / deployer / both)
python scripts/ai_act_obligation_tracker.py roles.json
# 5. Cross-check with GDPR DPIA (gdpr-dsgvo-expert) if personal data
# 6. Cross-check with ISO 42001 AIMS evidence (compliance-team-iso42001)
# 7. Output: classification memo + conformity plan + obligation listGoal: assemble the Annex IV pack before conformity assessment.
# 1. Run conformity assessment planner to get the checklist
python scripts/conformity_assessment_planner.py system.json
# 2. Assemble: system description, architecture, training data, validation, risk management
# 3. Reference ISO 42001 evidence where it satisfies Annex IV items
# 4. Reference ISO 27001 evidence for security controls
# 5. Run Article 9 risk management lifecycle
# 6. Sign EU declaration of conformity (Article 47) AFTER assessment passes
# 7. Affix CE marking (Article 48)
# 8. Register in EU database (Article 71) — high-risk Annex III systemsGoal: confirm all active obligations are in place before EU placement.
# 1. Confirm classification still correct (re-run classifier if system changed)
# 2. Confirm conformity assessment completed (if high-risk)
# 3. Confirm transparency requirements (Article 50) — for chatbots, deepfakes, emotion detection
# 4. Confirm post-market monitoring system (Article 72) is live
# 5. Confirm serious-incident reporting procedure (Article 73) is documented
# 6. For deployers: FRIA done (Article 27, if applicable); workers informed (Article 26(7))
# 7. For GPAI: Articles 51-55 obligations met if applicableGoal: re-verify classifications + obligations as the Act phases in.
**Bottom Line:** [one sentence — classification + most-significant obligation]
**Article Citation:** [Article + paragraph number; do not paraphrase without cite]
**The Decision:** [one of: classify | conformity-route | obligation-scope]
**The Evidence:** [Article + Annex references; classification confidence]
**How to Act:** [3 concrete next steps with owner + deadline aligned to phasing]
**Your Decision:** [the call for compliance officer or legal counsel — risk-class disputes, novel cases, GPAI threshold determinations]ra-qm-team/skills/gdpr-dsgvo-expert/ — GDPR DPIA + lawful basis (most AI systems also trigger GDPR)ra-qm-team/compliance-team-iso42001/ — ISO 42001 AIMS (voluntary management system that satisfies parts of Article 17 QMS for providers)ra-qm-team/skills/information-security-manager-iso27001/ — ISO 27001 for cybersecurity requirements (Article 15)ra-qm-team/skills/risk-management-specialist/ — ISO 14971 risk management (referenced for safety-component AI under Article 6(1))ra-qm-team/skills/mdr-745-specialist/ — MDR 2017/745 (medical-device AI overlap)compliance-os/ — Meta-orchestrator for multi-framework programsc-level-advisor/chief-ai-officer-advisor/ — Executive AI strategyVersion: 1.0.0 Status: Production Ready
© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts, references) in ra-qm-team/skills/eu-ai-act-specialist of alirezarezvani/claude-skills.
Open the folder on GitHubat commit 19392f7
Eu AI Act Specialist next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Eu AI Act Specialist this skillalirezarezvani/claude-skills | 28k | — | ~3.7k | Automated safety check: Pass | MIT | |
| AI Act High Risk Docsmukul975/Privacy-Data-Protection-Skills | 301 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Iso42001Sushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| AI Risk Managementbriiirussell/cybersecurity-skills | 413 | — | ~3.7k | Automated safety check: Notes | MIT | |
| EU AI Act System Inventoryanthropics/claude-for-legal | 9.6k | 3 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Eu AI Act Readinessseb1n/awesome-ai-agent-skills | 206 | — | ~3.3k | Automated safety check: Pass | MIT |
mukul975/Privacy-Data-Protection-Skills
Preparing EU AI Act compliance documentation for high-risk AI systems.
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert ISO 42001 AI Management System (AIMS) compliance advisor.
briiirussell/cybersecurity-skills
Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance, fairness and bias evaluation, robustness, transparency…
anthropics/claude-for-legal
Maintains a register of AI systems under the EU AI Act, recording each system's role and risk tier separately, because both can differ from one system to the next.
seb1n/awesome-ai-agent-skills
Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency…
Hack23/cia
AI governance, EU AI Act compliance, OWASP LLM security, responsible AI practices for GitHub Copilot agents
alirezarezvani/claude-skills
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alirezarezvani/claude-skills
OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.
alirezarezvani/claude-skills
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alirezarezvani/claude-skills
Calculates attribution, funnel and ROI figures for marketing campaigns with three Python scripts that need only the standard library.
alirezarezvani/claude-skills
Reverse-engineers a frontend, backend or fullstack codebase into a product requirements document with per-page docs, an enum dictionary and an API inventory.
Categories
EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams. Eu AI Act Specialist is an agent skill from alirezarezvani/claude-skills. EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams.
Eu AI Act Specialist fits situations like: tasks that involve AI governance; tasks that involve Technical documentation.
Run `npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a claude-code`. Or copy the skill folder (ra-qm-team/skills/eu-ai-act-specialist in alirezarezvani/claude-skills) into .claude/skills/eu-ai-act-specialist in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a codex`. Or copy the skill folder (ra-qm-team/skills/eu-ai-act-specialist in alirezarezvani/claude-skills) into .agents/skills/eu-ai-act-specialist in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eu-ai-act-specialist, .gemini/skills/eu-ai-act-specialist, .github/skills/eu-ai-act-specialist and .opencode/skills/eu-ai-act-specialist in your project.
Going by SKILL.md and its folder, Eu AI Act Specialist needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Eu AI Act Specialist is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Eu AI Act Specialist: AI Act High Risk Docs (mukul975/Privacy-Data-Protection-Skills, 301 stars), Iso42001 (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars), AI Risk Management (briiirussell/cybersecurity-skills, 413 stars) and EU AI Act System Inventory (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,938 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.
Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.