agentmods.dev

ai-act-cross-framework

ai-act-cross-framework is a command for Claude Code from Peaky8linders/eu-ai-act-scanner. It costs 61 tokens per session (444 once invoked), scanned A, original, Apache-2.0.

A codebase assessment that compares one EU AI Act review with several other governance, privacy, security, and risk standards. These include GDPR, the NIST AI Risk Management Framework, ISO 42001, and OWASP guidance.

In plain words
What is it for?
Use it to map AI compliance findings to international standards, compare readiness, and identify controls that address multiple frameworks at once.
Why use it?
It shows which fixes may satisfy requirements in more than one standard, reducing repeated assessment and remediation work. It also highlights readiness levels and priority gaps across frameworks.

Command for Claude Code

Written for Claude Code: a Claude Code command (commands/*.md).

not rated 5repo 5d ago A scan 61 tokens original Apache-2.0

Good fit Use it to map AI compliance findings to international standards, compare readiness, and identify controls that address multiple frameworks at once.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/peaky8linders/eu-ai-act-scanner/ai-act-cross-framework
View source ↗ Peaky8linders/eu-ai-act-scanner
Install

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.

Clone the repo
git clone --depth 1 https://github.com/Peaky8linders/eu-ai-act-scanner

Made for: Claude Code.

Wrote 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.

agentmods badge for ai-act-cross-framework

README.md
[![agentmods](https://agentmods.dev/badge/commands/peaky8linders/eu-ai-act-scanner/ai-act-cross-framework/github.svg)](https://agentmods.dev/commands/peaky8linders/eu-ai-act-scanner/ai-act-cross-framework)
Your own site
<a href="https://agentmods.dev/commands/peaky8linders/eu-ai-act-scanner/ai-act-cross-framework"><img src="https://agentmods.dev/badge/commands/peaky8linders/eu-ai-act-scanner/ai-act-cross-framework/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.

agentmods 80×15 button for ai-act-cross-framework

Your own site · 80×15
<a href="https://agentmods.dev/commands/peaky8linders/eu-ai-act-scanner/ai-act-cross-framework"><img src="https://agentmods.dev/badge/commands/peaky8linders/eu-ai-act-scanner/ai-act-cross-framework.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 444 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.00444
Opus 5.5 $0.00024 $0.00178
Sonnet 5.5 $0.00012 $0.00089
Haiku 4.5 $0.00006 $0.00044

Measured 8d ago against content hash b6a5743558f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-act-cross-framework 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 8d 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.

commands/ai-act-cross-framework.md · 39 lines

What it actually says

/ai-act-cross-framework

Evaluate your codebase against international AI governance, security, and data privacy frameworks simultaneously from a single EU AI Act scan.

Usage

/ai-act-cross-framework [PATH]

Or via CLI:

python -m scanner.cli [PATH] --cross-framework --markdown

Supported Frameworks

  • NIST AI Risk Management Framework (NIST AI RMF 1.0 / AI 100-1)
  • ISO/IEC 42001:2023 (Artificial Intelligence Management System)
  • OWASP Top 10 for LLM Applications (2025 Edition)
  • OWASP Top 10 for Agentic Applications (ASI01-ASI10)
  • GDPR (Regulation EU 2016/679)
  • MITRE ATLAS (Adversarial Threat Landscape for AI Systems)
  • NIST AI 600-1 (Generative AI Profile)
  • SOC 2 Type II (Trust Services Criteria)
  • CSA AI Controls Matrix (AICM v1.0)
  • ISO/IEC 27002:2022 & NIST SP 800-53 Rev. 5

Output Sections

  1. Framework Readiness Summary: Table showing multi-framework readiness score (%), compliant count, partial count, and top priority remediation gaps.
  2. Satisfy Once, Comply Everywhere Levers: Ranks single EU AI Act dimensions whose remediation simultaneously closes gaps across multiple global standards.
  3. Evidence Harmonization & Reuse Opportunities: Practical guidance on reusing AI Act technical documentation (Art. 11/Annex IV) and FRIA (Art. 27) for GDPR DPIA (Art. 35) and NIST MP profiles.
Changes

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.

  1. 8d ago First seen · 39 lines · 61 tokens per session scan A b6a5743558f8

Subscribe to this mod's changes

ai-act-cross-framework is a command published in the GitHub repository Peaky8linders/eu-ai-act-scanner (5 stars, last pushed 5d ago), licensed Apache-2.0. It adds 61 tokens to every session and 444 once invoked, about $0.0002 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 2026-10-09.

AI SafetyLegal and compliancePythonSecurityai-governanceclaude-code-plugincomplianceeu-ai-act
Related

Other commands, from other repositories

evidence

Export a signed compliance evidence package as JSON or PDF for regulatory handoff.

airblackbox/airblackbox · 14 tokens

comply

Run a full EU AI Act compliance scan on your Python AI project.

airblackbox/airblackbox · 13 tokens

audit

Generate a structured audit report for the current session or a specified time range. The report summarises every governed action, lists any blocked requests, and provides a compliance-ready summary you can download or share.

dingdawg/dingdawg-governance · 0 tokens

tcop

Generate a Technology Code of Practice (TCoP) review document for a UK Government technology project.

tractorjuice/arc-kit · 19 tokens

soa-generator

Generate ISO 27001 Statement of Applicability (SOA) with control selection justifications.

GRCEngClub/claude-grc-engineering · 18 tokens

service-auditor-prep

Generate complete auditor-ready evidence package for SOC 2.

GRCEngClub/claude-grc-engineering · 10 tokens