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.
git clone --depth 1 https://github.com/Peaky8linders/eu-ai-act-scannerWrote 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/commands/peaky8linders/eu-ai-act-scanner/ai-act-graph)<a href="https://agentmods.dev/commands/peaky8linders/eu-ai-act-scanner/ai-act-graph"><img src="https://agentmods.dev/badge/commands/peaky8linders/eu-ai-act-scanner/ai-act-graph/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/commands/peaky8linders/eu-ai-act-scanner/ai-act-graph"><img src="https://agentmods.dev/badge/commands/peaky8linders/eu-ai-act-scanner/ai-act-graph.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 | $0.00035 | $0.00424 |
| Opus 5.5 | $0.00014 | $0.00170 |
| Sonnet 5.5 | $0.00007 | $0.00085 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
ai-act-graph 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.
What it actually says
/ai-act-graph
Generate and explore a standalone, interactive visual context graph of the audited AI system.
Usage
/ai-act-graph [PATH]
Or via CLI:
python -m scanner.cli [PATH] --graph context-graph.html
What it does
- Scans the codebase at
PATH(defaults to current directory). - Generates an interactive, self-contained visual context graph (
context-graph.html). - Renders a node-link visual diagram where:
- Nodes represent discovered architecture components, agent runtimes, and governance gates.
- Badges indicate compliance status:
- ● Compliant (evidence verified in codebase)
- ● Partial (partial controls found; extra evidence recommended)
- ● Gap (immediate statutory remediation required)
- Inspector Panel: Clicking any node opens a comprehensive drilldown:
- Exact EU AI Act Article & Paragraph grounding
- Enacted timeline under Digital Omnibus Regulation (EU) 2026/1744
- Contributing project source files
- Detected gaps
- Cross-framework synergies (NIST AI RMF, ISO 42001, OWASP LLM / ASI, GDPR)
- Recommended Fix: Target file path, rationale, and a production-ready, copyable code patch
- Grounded real-world incident case studies from the vendored incident corpus
- Presents a summary in chat with the path to the interactive HTML artifact and highlights the top gap nodes needing attention.
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.
- 8d ago First seen · 40 lines · 35 tokens per session scan A 9bf3e61bfd8b
ai-act-graph 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 35 tokens to every session and 424 once invoked, about $0.0001 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.
Other commands, from other repositories
evidence
Export a signed compliance evidence package as JSON or PDF for regulatory handoff.
comply
Run a full EU AI Act compliance scan on your Python AI project.
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.
tcop
Generate a Technology Code of Practice (TCoP) review document for a UK Government technology project.
soa-generator
Generate ISO 27001 Statement of Applicability (SOA) with control selection justifications.
service-auditor-prep
Generate complete auditor-ready evidence package for SOC 2.