Iso42001
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert ISO 42001 AI Management System (AIMS) compliance advisor.
Agent skill
Depth assessment of whether an AI system is high-risk under Art.
$ npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-high-risk-classifier-oliver-schmidt-prietz -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-high-risk-classifier-oliver-schmidt-prietz --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/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz .claude/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz && 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-high-risk-classifier-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz into .claude/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-high-risk-classifier-oliver-schmidt-prietz", 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/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietzType 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 lawve-ai/awesome-legal-skills --skill eu-ai-act-high-risk-classifier-oliver-schmidt-prietz -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-high-risk-classifier-oliver-schmidt-prietz --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz .agents/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz && 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-high-risk-classifier-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz into .agents/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-high-risk-classifier-oliver-schmidt-prietz", 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 lawve-ai/awesome-legal-skills --skill eu-ai-act-high-risk-classifier-oliver-schmidt-prietz -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-high-risk-classifier-oliver-schmidt-prietz --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz .cursor/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz && 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-high-risk-classifier-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz into .cursor/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-high-risk-classifier-oliver-schmidt-prietz", 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/lawve-ai/awesome-legal-skills.git --path skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz--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 lawve-ai/awesome-legal-skills --skill eu-ai-act-high-risk-classifier-oliver-schmidt-prietz -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-high-risk-classifier-oliver-schmidt-prietz --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz .gemini/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz && 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-high-risk-classifier-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz into .gemini/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-high-risk-classifier-oliver-schmidt-prietz", 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 lawve-ai/awesome-legal-skills eu-ai-act-high-risk-classifier-oliver-schmidt-prietzInstalls 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 lawve-ai/awesome-legal-skills --skill eu-ai-act-high-risk-classifier-oliver-schmidt-prietz -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz .github/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz && 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-high-risk-classifier-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz into .github/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-high-risk-classifier-oliver-schmidt-prietz", 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 lawve-ai/awesome-legal-skills --skill eu-ai-act-high-risk-classifier-oliver-schmidt-prietz -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lawve-ai/awesome-legal-skills eu-ai-act-high-risk-classifier-oliver-schmidt-prietz --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz .opencode/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz && 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-high-risk-classifier-oliver-schmidt-prietz" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz into .opencode/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eu-ai-act-high-risk-classifier-oliver-schmidt-prietz", 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-high-risk-classifier-oliver-schmidt-prietzDepth assessment of whether an AI system is high-risk under Art.
Eu AI Act High Risk Classifier Oliver Schmidt Prietz is an agent skill from lawve-ai/awesome-legal-skills. Depth assessment of whether an AI system is high-risk under Art. 6 of the EU AI Act, grounded in the Commission's draft Art. 6(5) classification guidelines (general principles + Annex I + Annex III). Covers the Annex I product-safety route, all eight Annex III areas with worked examples, the Art. 6(3) exception and its profiling re-exception, and the Art. 25 quasi-provider trap. Outputs a structured decision block, a practitioner memo, and a JSON interchange artefact.
Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files, including reference files (for example `README.md`, `evals.json` and `references/ai-omnibus-timeline-postponements.md`).
It sits in Legal & Compliance, covering AI governance. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is AGPL-3.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 045f738. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From 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 High Risk Classifier Oliver Schmidt Prietz loads about 4.7k tokens when it runs, and up to ~48k if it reads all its reference files. Until then it costs about 131 tokens; SKILL.md has 1,997 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); files beside SKILL.md are not scanned.
The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its AGPL-3.0 licence (© lawve-ai). 1,997 words, ~4,654 tokens.
.claude/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.Depth assessment of whether an AI system is high-risk under Art. 6 AI Act (Regulation (EU) 2024/1689), grounded in the European Commission's draft Art. 6(5) classification guidelines (general principles, Annex I, Annex III) published for stakeholder consultation in 2026.
Important: This skill provides structured high-risk classification guidance based on the EU AI Act (Regulation (EU) 2024/1689) and the Commission's draft Art. 6(5) classification guidelines (general principles, Annex I, Annex III) issued for stakeholder consultation. The Commission guidelines are non-binding; authoritative interpretation rests with the Court of Justice of the EU. This is not legal advice. Final classification decisions should involve qualified legal counsel with AI Act expertise.
If the AI system has not yet been triaged across all five risk tiers (prohibited / high-risk / GPAI / limited / minimal), do that breadth-first triage before the Annex I / Annex III depth analysis below. For a pure article-lookup question without a classification verdict, answer it directly with the cited regulation text rather than running the full depth assessment.
| Provision | Original date (Art. 113) | Postponed date (AI Omnibus) |
|---|---|---|
| Art. 6(2) + Annex III obligations | 2 August 2026 | 2 December 2027 |
| Art. 6(1) + Annex I obligations | 2 August 2027 | 2 August 2028 |
| Art. 111(2) legacy cut-off | 2 August 2026 | 2 December 2027 |
See references/ai-omnibus-timeline-postponements.md for citation chain.
Before beginning, gather from the user:
If any of these is missing, ask before proceeding. Classifications based on incomplete information must be flagged as preliminary.
Run the five steps in order. Each step either terminates with a verdict or feeds the next.
Confirm the technology meets the Art. 3(1) AI system definition. If it does not (e.g., pure rule-based software with no inference, no learning, no autonomy), the AI Act does not apply → terminate as not in AI Act scope. Reference: see Commission Guidelines on the definition of an artificial intelligence system, C(2025) 5053 (separate from these high-risk guidelines).
Document the provider's stated intended purpose. Apply the GPAI / multi-purpose trap test:
Output of Step 2: a clean, documented intended-purpose statement to use in Steps 3 and 4.
Apply this branch in full before Step 4. The two branches are not mutually exclusive: a system can be high-risk under both Art. 6(1) and Art. 6(2) (in which case the Art. 6(1) conformity-assessment integration applies — see Art. 8(2) and Art. 102–109).
Screen against the Union harmonisation legislation listed in Annex I AI Act (machinery, toys, lifts, ATEX, radio equipment, pressure equipment, recreational craft, cableways, gas appliances, MDR, IVDR, automotive, aviation, etc.). Distinguish:
If neither applies → skip to Step 4.
Apply BOTH alternative scenarios — either is sufficient:
Scenario (i) — Safety function (intent-based, ¶¶35–37) The system constitutes a safety component if the provider's intended purpose is to prevent or mitigate risks to health, safety, or property. Use this checklist (from ¶37 box):
See references/safety-function-checklist.md for the full taxonomy and worked examples.
Scenario (ii) — Failure or malfunctioning (consequences-based, ¶¶38–43) The system constitutes a safety component if its failure or malfunctioning could endanger health, safety, or property. Failure modes include: incorrect outputs (false positives/negatives), loss of function/availability, performance instability/drift, timing/latency errors, misclassification leading to hazardous control decisions. The likelihood must be more than theoretical (¶39).
Worked examples from ¶46:
Output of Step 3b: if (i) OR (ii) is satisfied → continue to Step 3c. Otherwise, this is not a safety component → skip to Step 4.
Look up the conformity assessment procedure required by the relevant Annex I legal act:
If module is A without mandatory-harmonised-standards condition → not high-risk under Art. 6(1).
If 3a + 3b + 3c all YES → high-risk under Art. 6(1). Record:
See references/annex-i-section-a-vs-b.md for the full mapping.
Cross-check the system's intended purpose against each of the eight areas. Use the corresponding per-area reference file:
| # | Area | Reference |
|---|---|---|
| 1 | Biometrics | annex-iii-area-1-biometrics.md |
| 2 | Critical infrastructure | annex-iii-area-2-critical-infrastructure.md |
| 3 | Education and vocational training | annex-iii-area-3-education.md |
| 4 | Employment, workers management, access to self-employment | annex-iii-area-4-employment.md |
| 5 | Access to and enjoyment of essential private and public services and benefits | annex-iii-area-5-essential-services.md |
| 6 | Law enforcement | annex-iii-area-6-law-enforcement.md |
| 7 | Migration, asylum, border control management | annex-iii-area-7-migration.md |
| 8 | Administration of justice and democratic processes | annex-iii-area-8-justice-democracy.md |
For each area where there is a use-case match, capture the specific Annex III sub-point (e.g., Nr. 4(a) for recruitment).
If a use case matches in Step 4a, check whether the AI system performs only one of the following narrow categories (Art. 6(3)):
See references/art-6-3-exception-decision-tree.md.
If the system performs profiling of natural persons (Art. 4(4) GDPR — automated processing of personal data to evaluate personal aspects), the Art. 6(3) exception is excluded and the system is high-risk.
If the exception applies → not high-risk, BUT the provider must:
If the user is not the original provider but is modifying, fine-tuning, or rebranding an existing AI system, flag Art. 25(1):
If any apply → the user becomes a provider of a high-risk system with full Chapter III obligations. Follow up with a role-determination step (provider / deployer / importer / distributor under Art. 3 and Art. 25). The Commission is preparing separate Art. 25 guidelines; this skill flags only.
See references/art-25-substantial-modification-flag.md.
Produce all three artefacts unless the user explicitly requests a subset.
═══════════════════════════════════════════
EU AI Act — High-Risk Classification Result
═══════════════════════════════════════════
High-risk verdict: [YES — Art. 6(1) Annex I | YES — Art. 6(2) Annex III Nr. X | NO]
Basis: [Safety function / Failure-based / Annex III use-case match]
Annex I citation: [Legal act + Section A/B] (if applicable)
Annex III citation: [Nr. X.<sub>] (if applicable)
Art. 6(3) exception: [N/A | Applied — limb (a/b/c/d) | Excluded by profiling re-exception]
Art. 25 trap: [Not triggered | Watch — modifying existing system]
Effective date: [2 December 2027 (Annex III) | 2 August 2028 (Annex I)]
Documentation duty: [Art. 6(4) (if Art. 6(3) applied) | Chapter III + Art. 11 technical docs]
═══════════════════════════════════════════Markdown memo addressed to a DPO / AI compliance officer. Sections:
The cross-skill interchange JSON. Schema (matches the existing repo convention):
{
"skill": "ai-act-high-risk",
"version": "1.0",
"assessed_at": "2026-MM-DD",
"system_name": "<provider-supplied name>",
"intended_purpose": "<cleaned Step 2 statement>",
"verdict": "high_risk" | "not_high_risk" | "exempt_art_6_3",
"basis": {
"article": "6(1)" | "6(2)" | null,
"annex": "I" | "III" | null,
"annex_item": "Nr. X" | "Nr. Y.<sub>" | null,
"section_a_or_b": "A" | "B" | null
},
"art_6_3_exception": {
"applied": true | false,
"limb": "a" | "b" | "c" | "d" | null,
"profiling_excluded": true | false
},
"art_25_trap_flag": true | false,
"effective_date": "2027-12-02" | "2028-08-02",
"citations": [
{"source": "Commission Guidelines Annex III ¶123"},
{"source": "Annex III Nr. 4(a) AI Act"}
],
"next_steps": ["role-determination", "obligation-mapping", "compliance-report"]
}A high-risk depth assessment usually sits inside a larger workflow. Once this skill has produced the verdict, the natural next steps are:
See CHANGELOG.md.
This skill works on its own, but it's designed to interlock with my other EU AI Act skills — install any individually, or use them together for an end-to-end workflow:
Each is available as a separate skill — install only what you need.
© lawve-ai, AGPL-3.0. 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 19 other files (references) in skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz of lawve-ai/awesome-legal-skills.
Open the folder on GitHubat commit 045f738
Eu AI Act High Risk Classifier Oliver Schmidt Prietz 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 High Risk Classifier Oliver Schmidt Prietz this skilllawve-ai/awesome-legal-skills | 847 | — | ~4.7k | Automated safety check: Pass | AGPL-3.0 | |
| 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 | |
| AI GovernanceHack23/cia | 239 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 |
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Categories
Depth assessment of whether an AI system is high-risk under Art. Eu AI Act High Risk Classifier Oliver Schmidt Prietz is an agent skill from lawve-ai/awesome-legal-skills. Depth assessment of whether an AI system is high-risk under Art.
Eu AI Act High Risk Classifier Oliver Schmidt Prietz fits situations like: tasks that involve AI governance.
Run `npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-high-risk-classifier-oliver-schmidt-prietz -a claude-code`. Or copy the skill folder (skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz in lawve-ai/awesome-legal-skills) into .claude/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lawve-ai/awesome-legal-skills --skill eu-ai-act-high-risk-classifier-oliver-schmidt-prietz -a codex`. Or copy the skill folder (skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz in lawve-ai/awesome-legal-skills) into .agents/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz 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 lawve-ai/awesome-legal-skills --skill eu-ai-act-high-risk-classifier-oliver-schmidt-prietz -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-high-risk-classifier-oliver-schmidt-prietz, .gemini/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz, .github/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz and .opencode/skills/eu-ai-act-high-risk-classifier-oliver-schmidt-prietz in your project.
SKILL.md names no scripts, command-line tools or credentials: Eu AI Act High Risk Classifier Oliver Schmidt Prietz is instructions for the agent only.
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. Review the folder before installing.
Eu AI Act High Risk Classifier Oliver Schmidt Prietz is published under the AGPL-3.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.7k tokens (SKILL.md is roughly 19k 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 43k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Eu AI Act High Risk Classifier Oliver Schmidt Prietz: Iso42001 (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars), AI Risk Management (briiirussell/cybersecurity-skills, 413 stars), EU AI Act System Inventory (anthropics/claude-for-legal, 9.6k stars) and Eu AI Act Readiness (seb1n/awesome-ai-agent-skills, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 847 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.
Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.