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 mukul975/Privacy-Data-Protection-Skills --skill ai-act-high-risk-docsgit clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-SkillsWrote 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/mukul975/privacy-data-protection-skills/ai-act-high-risk-docs)<a href="https://agentmods.dev/skills/mukul975/privacy-data-protection-skills/ai-act-high-risk-docs"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/ai-act-high-risk-docs/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/mukul975/privacy-data-protection-skills/ai-act-high-risk-docs"><img src="https://agentmods.dev/badge/skills/mukul975/privacy-data-protection-skills/ai-act-high-risk-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00063 | $0.02122 |
| Opus 5 | $0.00032 | $0.01061 |
| Sonnet 5 | $0.00013 | $0.00424 |
| Haiku 4.5 | $0.00006 | $0.00212 |
Grade A, and why
ai-act-high-risk-docs 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EU AI Act High-Risk AI System Documentation
Overview
The EU AI Act (Regulation 2024/1689, entered into force 1 August 2024, with high-risk obligations applicable from 2 August 2026) establishes a risk-based regulatory framework for artificial intelligence systems. High-risk AI systems — those listed in Annex III or used as safety components of products covered by Union harmonisation legislation in Annex I — must meet extensive documentation, transparency, and governance requirements before being placed on the EU market. Cerebrum AI Labs must prepare comprehensive technical documentation, implement a risk management system, ensure data governance, and undergo conformity assessment for each high-risk AI system.
High-Risk Classification
Annex III Categories Relevant to Cerebrum AI Labs
| Category | Annex III Reference | Cerebrum AI Labs System | Classification |
|---|---|---|---|
| Employment and workers management | Annex III, para. 4(a) | CV Screening AI — automated filtering of job applications | High-risk |
| Access to essential services | Annex III, para. 5(b) | Credit Scoring AI — creditworthiness assessment for financial products | High-risk |
| Law enforcement | Annex III, para. 6(a) | Not applicable | N/A |
| Biometric identification | Annex III, para. 1(a) | Facial Verification AI — identity verification at onboarding | High-risk |
| Education and vocational training | Annex III, para. 3(a) | Not applicable | N/A |
Classification Decision Tree
Is the AI system listed in Annex III?
├── Yes → High-risk (unless exception applies under Art. 6(3))
│ └── Does the system make decisions materially affecting natural persons?
│ ├── Yes → High-risk confirmed
│ └── No → May qualify for Art. 6(3) exception (narrow, profiling, preparatory)
│
├── No → Is it a safety component of a product under Annex I legislation?
│ ├── Yes → High-risk (subject to third-party conformity assessment)
│ └── No → Not high-risk under AI Act
│
└── Is it a general-purpose AI model with systemic risk? (Art. 51)
├── Yes → GPAI systemic risk obligations
└── No → GPAI transparency obligations only
What ships with it
4 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 · 179 lines · 63 tokens per session scan A 5e9a17965d5b
ai-act-high-risk-docs is a skill published in the GitHub repository mukul975/Privacy-Data-Protection-Skills (272 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 63 tokens to every session and 2,122 once invoked, about $0.0003 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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