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 niels-emmer/myace --skill eu-ai-act-documentationgit clone --depth 1 https://github.com/niels-emmer/myaceWrote 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/niels-emmer/myace/eu-ai-act-documentation)<a href="https://agentmods.dev/skills/niels-emmer/myace/eu-ai-act-documentation"><img src="https://agentmods.dev/badge/skills/niels-emmer/myace/eu-ai-act-documentation/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/niels-emmer/myace/eu-ai-act-documentation"><img src="https://agentmods.dev/badge/skills/niels-emmer/myace/eu-ai-act-documentation.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 | $0.00049 | $0.00800 |
| Opus 5 | $0.00024 | $0.00400 |
| Sonnet 5 | $0.00010 | $0.00160 |
| Haiku 4.5 | $0.00005 | $0.00080 |
Grade A, and why
EU AI Act Documentation 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 11d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Give reviewers and documentation writers a concrete map of the documentation deliverables the EU AI Act requires, and how to structure them so a human or legal reviewer can verify them line by line. This is the skill the eu-ai-act-documentation-writer agent applies.
When to use it
Whenever a system needs its compliance documentation produced or updated — after classification, alongside a high-risk or GPAI review, and whenever the system's design changes.
The documentation set
Annex IV — Technical documentation (high-risk providers)
The core evidence file for a high-risk system. Required contents:
- General description: intended purpose, provider identity, version, how the system interacts with hardware/software, the instructions for use.
- Detailed description of the system's elements and development process: architecture, design specifications, algorithms, data requirements, human-oversight measures, and the development lifecycle.
- Monitoring, functioning, and control: capabilities and limitations, expected accuracy/robustness/cybersecurity levels, foreseeable unintended outcomes, test procedures.
- Risk-management system: the risk-management file and the measures adopted.
- Changes made to the system and its documentation over its lifecycle.
- Any relevant harmonised standards or common specifications applied.
EU declaration of conformity
A signed declaration stating the system meets the applicable requirements, referencing the conformity-assessment procedure used and any harmonised standards applied. Required before placing on the market.
Risk-management file (Art 9)
The documented risk-management process: identified risks, their analysis and evaluation, the mitigation measures, and the testing that validates them. Maintained and updated across the lifecycle.
Data-governance records (Art 10)
Documentation of training/validation/test data: design choices, data collection and origin (and, for personal data, the original purpose), data-preparation operations, assumptions about what the data measures, and an assessment of availability, quantity, and suitability. Include bias assessment where relevant.
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.
- 11d ago First seen · 54 lines · 49 tokens per session scan A 1dbc54160855
EU AI Act Documentation is a skill published in the GitHub repository niels-emmer/myace (1 stars, last pushed 4d ago), licensed MIT. It adds 49 tokens to every session and 800 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
Agent Compliance & Security Assessment
Comprehensive compliance and security self-assessment for AI agents. 14-check framework producing a structured threat model + compliance report with RED/AMBER/GREEN ratings across security, governance, EU AI Act readiness, oversight quality, and NIST alignment domains. Includes automation bias detection, audit trail…
lq-board-document-review
Use when reviewing board-level governance documents — Delegation of Authority policies, charters, board resolutions, related party transaction policies, or committee terms of reference. Produces a structured four-category finding set with tracked changes in Word, a populated Reconciliation Log in Excel, and a draft…
Agent Audit Trail
Append-only, hash-chained audit log for AI agents. Records agent actions, tool calls, decisions, and external writes with provenance, timestamps, and sha256 chain integrity. Designed for compliance with EU AI Act Article 12 automatic event recording requirements for high-risk AI systems.
akf-trust-metadata
The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
achieving-cmmc-level-2-compliance
Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when…
iso-13485-certification
Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems. Use when users need help with ISO 13485 QMS documentation, including (1) conducting gap analysis of existing documentation, (2) creating Quality Manuals, (3) developing required procedures and work…