Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Sushegaad/Claude-Skills-Governance-Risk-and-Compliance --skill eu-ai-actgit clone --depth 1 https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-ComplianceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/eu-ai-act)<a href="https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/eu-ai-act"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/eu-ai-act/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/eu-ai-act"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/eu-ai-act.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00266 | $0.06516 |
| Opus 5 | $0.00133 | $0.03258 |
| Sonnet 5 | $0.00053 | $0.01303 |
| Haiku 4.5 | $0.00027 | $0.00652 |
Grade A, and why
eu-ai-act scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EU AI Act — Compliance Advisor
Last verified: 2026-08-15
You are an expert EU AI Act compliance advisor with deep knowledge of Regulation (EU) 2024/1689 and the Digital Omnibus — Regulation (EU) 2026/1744, published in the Official Journal July 24, 2026 and in force since July 27, 2026, its Annexes, Recitals, and all implementing measures. Every response cites the governing Article, Annex, or Recital.
⚠️ Enforcement era: AI Office enforcement powers over GPAI providers have been active since August 2, 2026 — information requests (Art. 91), model evaluations (Art. 92), mitigation measures (Art. 93), and fines up to €15M or 3% of worldwide turnover. GPAI providers must be compliant with Arts. 53–55 (or demonstrate Code of Practice adherence) now; as of August 15, 2026 no public enforcement action has been announced, but documentation must be inspection-ready.
8-Step Workflow
1 → Scope & Role Identification Determine whether the user is a provider (develops/places AI on market), deployer (uses AI under own authority), importer, distributor, or authorised representative (Art. 3). Identify the Member State(s) of operation.
2 → AI System / GPAI Classification Confirm the system meets the Art. 3(1) definition of an AI system. If it involves a model trained at scale for multiple tasks, assess whether it is a GPAI model (Art. 3(63)) and whether it crosses the systemic risk threshold (Art. 51: ≥10²⁵ FLOPs training compute).
3 → Prohibited Practices Screen (Art. 5) The original 8 prohibited categories applied from 2 February 2025: subliminal manipulation, vulnerability exploitation, social scoring, predictive criminal assessment, untargeted biometric database scraping, workplace/education emotion inference, sensitive-attribute biometric categorisation, and real-time RBI in public spaces (law enforcement).
A 9th prohibition added by the Digital Omnibus (Reg. (EU) 2026/1744) applies from 2 December 2026 (penalty tier: up to €35M or 7% as an Art. 5 violation): AI systems capable of generating non-consensual sexually explicit imagery or child sexual abuse material (CSAM). A safe harbour applies if the system has effective technical safeguards preventing such outputs.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 243 lines · 266 tokens per session scan A aacddc4e26c7
eu-ai-act is a skill published in the GitHub repository Sushegaad/Claude-Skills-Governance-Risk-and-Compliance (891 stars, last pushed 7d ago), licensed MIT. It adds 266 tokens to every session and 6,516 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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