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 abk1969/ai-act-skills --skill ai-act-compliancegit clone --depth 1 https://github.com/abk1969/ai-act-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/abk1969/ai-act-skills/ai-act-compliance)<a href="https://agentmods.dev/skills/abk1969/ai-act-skills/ai-act-compliance"><img src="https://agentmods.dev/badge/skills/abk1969/ai-act-skills/ai-act-compliance/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/abk1969/ai-act-skills/ai-act-compliance"><img src="https://agentmods.dev/badge/skills/abk1969/ai-act-skills/ai-act-compliance.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 | $0.00243 | $0.08315 |
| Opus 5.5 | $0.00097 | $0.03326 |
| Sonnet 5.5 | $0.00049 | $0.01663 |
| Haiku 4.5 | $0.00024 | $0.00831 |
Grade A, and why
ai-act-compliance 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 1mo 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 — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Act Compliance — EU Regulation 2024/1689
What this skill does
Codifies actionable EU AI Act compliance expertise. Every output is traceable to one or more of:
- Regulation (EU) 2024/1689 — the AI Act — the legally binding source.
- ISO/IEC 42001:2023 — Artificial Intelligence Management System (AIMS), the certifiable management standard for AI providers and deployers.
- ISO/IEC 27090:2025 — Cybersecurity guidance for AI systems (the depth standard for AI Act art. 15 cybersecurity).
- Companion ISO standards: 23894 (AI risk management), 23053 (ML framework), 5338 (AI lifecycle), 5259-* (data quality), 24029-2 (robustness), 42005 (impact assessment), 42006 (audit & certification).
- CEN-CENELEC JTC 21 harmonised standards (under standardization mandate M/593) — the path to art. 40 presumption of conformity.
- GPAI Code of Practice — published 2025-07-10; assessed adequate by the Commission and AI Board on 2025-08-01 — the operative instrument for arts. 53–55 until harmonised standards land.
- AI Omnibus amendment (Digital Omnibus on AI) — adopted by Parliament (2026-06-16) and Council (2026-06-29); amends the AI Act's timeline and art. 5 prohibitions. See the timeline below.
This skill is decision-support, not legal advice. Always recommend the user consult qualified counsel for binding interpretation, and a notified body for conformity assessment of high-risk AI systems.
Scheduling at a glance — SSL machine view
This skill is paired with a machine-readable manifest at ssl.json, built per the Scheduling-Structural-Logical (SSL) representation introduced by Liang et al., From Skill Text to Skill Structure (arXiv:2604.24026, 2026). The manifest exposes the skill's invocation interface, scene graph, and atomic action evidence so registries, routers, and reviewers do not need to re-parse this document. The table below is the human-readable scheduling view; ssl.json is the authoritative typed version.
What ships with it
21 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.
- AGENTS.md 1.6 KB
- GEMINI.md 1.5 KB
- LICENSE 1.4 KB
- package.json 2.2 KB
- README.md 16 KB
- references/01-risk-classification.md 19 KB
- references/02-high-risk-obligations.md 27 KB
- references/03-iso-42001-aims.md 25 KB
- references/04-iso-27090-ai-security.md 26 KB
- references/05-crosswalk-aiact-iso.md 15 KB
- references/06-techdoc-annex-iv.md 16 KB
- references/07-fria-art27.md 18 KB
- references/08-transparency-art50.md 14 KB
- references/09-post-market-art72-73.md 19 KB
- references/10-gpai-and-timeline.md 20 KB
- references/11-art4-ai-literacy.md 11 KB
- references/12-art25-substantial-modification.md 13 KB
- references/13-sandboxes-and-real-world-testing.md 13 KB
- references/14-codes-and-right-to-explanation.md 15 KB
- references/15-platform-compatibility.md 9.5 KB
- ssl.json 28 KB
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.
- 1mo ago First seen · 344 lines · 243 tokens per session scan A 39f8ebba6a74
ai-act-compliance is a skill published in the GitHub repository abk1969/ai-act-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 243 tokens to every session and 8,315 once invoked, about $0.0010 per session on Opus 5.5. 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
eu-ai-act-compliance
Use when adding, changing or reviewing an AI feature that will be available in the EU, or when someone asks about the EU AI Act, risk tiers, Article 50 transparency, or what obligations apply. Classifies the use case and cites the Regulation rather than guessing.
eu-ai-act-compliance
Use when adding, changing or reviewing an AI feature that will be available in the EU, or when someone asks about the EU AI Act, risk tiers, Article 50 transparency, or what obligations apply. Classifies the use case and cites the Regulation rather than guessing.
vaara-governed-tool-call
Put an EU AI Act Article 14 human-oversight checkpoint and an Article 12 auditable record in front of a high-risk tool call. Use before an agent runs a consequential or irreversible action (writing to a clinical/genomic database, submitting a record to a regulator, moving money, deleting data, anything a human should…
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Define and enforce decision policies, compliance rules, and exceptions over Semantica graphs. Uses ContextGraph.checkdecisionrules/enforcedecisionpolicy and context.PolicyEngine.
receipt-query
Retrieve bounded receipt evidence by exact ids or explicit filters, returning native verification results for downstream review.
receipt-audit
Audit a sealed runx receipt for governance, comparing exercised authority and any declared approval requirement with signed evidence, and flag over-reach, approval inconsistency, unrecorded refusals, or exposed secret material.