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 lexbeam-software/eu-ai-governance-plugin --skill ai-act-classificationgit clone --depth 1 https://github.com/lexbeam-software/eu-ai-governance-pluginWrote 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/lexbeam-software/eu-ai-governance-plugin/ai-act-classification)<a href="https://agentmods.dev/skills/lexbeam-software/eu-ai-governance-plugin/ai-act-classification"><img src="https://agentmods.dev/badge/skills/lexbeam-software/eu-ai-governance-plugin/ai-act-classification/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/lexbeam-software/eu-ai-governance-plugin/ai-act-classification"><img src="https://agentmods.dev/badge/skills/lexbeam-software/eu-ai-governance-plugin/ai-act-classification.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 | $0.00072 | $0.01023 |
| Opus 5 | $0.00036 | $0.00511 |
| Sonnet 5 | $0.00014 | $0.00205 |
| Haiku 4.5 | $0.00007 | $0.00102 |
Grade A, and why
ai-act-classification 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 9d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Classify under the EU AI Act
Support legal and compliance work; do not present the result as legal advice, certification, or a final regulator determination.
Load the legal map
Read AI-ACT-DECISION-MAP.md and follow LEGAL-SOURCE-PROTOCOL.md before classifying. Use the Lexbeam EU AI Act MCP when available:
- Call
euaiact_classify_systemwith the known facts and structured signals. - If Annex III may apply, call
euaiact_assess_art6_3_exception; never auto-apply the exception. - Call
euaiact_get_obligationsonly for provider and deployer roles. Map duties for importers, distributors, authorised representatives, product manufacturers, and other actors from the complete official provisions. - Call
euaiact_check_deadlinesfor operative dates. - Use
euaiact_get_articleto obtain the versioned summary and official URL, then read the complete official provision before stating a negative, exception, or prohibition. If the full text is inaccessible, label verification incomplete.
If MCP is unavailable, use the embedded decision map, disclose fallback mode, and mark current-law verification as required.
Gather facts
Ask only for facts that can change the outcome:
- system or model function, intended purpose, users, affected persons, and decision effect
- provider, deployer, importer, distributor, product-manufacturer, and GPAI roles
- geography and whether outputs are used in the Union
- data categories, profiling, biometrics, emotion inference, synthetic content, and workplace use
- Annex I product-law context and third-party conformity assessment
- exact Annex III use case, human-review design, and whether the system materially influences decisions
- substantial modification, rebranding, fine-tuning, or changed intended purpose
Do not classify from a product name, sector label, or vendor marketing description alone.
Apply the gates
Run the gates in order and preserve parallel duties:
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.
- 9d ago First seen · 66 lines · 72 tokens per session scan A 01ebbd44ef5f
ai-act-classification is a skill published in the GitHub repository lexbeam-software/eu-ai-governance-plugin (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 72 tokens to every session and 1,023 once invoked, about $0.0004 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.
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