Scan Python AI agents for EU AI Act compliance issues, identify risks, and generate remediation steps. For developers building AI systems that must meet European regulatory requirements.
io.github.shotwellj/air-blackbox
Local install
STDIO
No auth required
How models use it and what it is built for.
Scan Python AI agents for EU AI Act compliance issues, identify risks, and generate remediation steps. For developers building AI systems that must meet European regulatory requirements.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Shotwellj Air Blackbox.
Paste any of these into Agent Studio after connecting Shotwellj Air Blackbox.
Common questions about connecting and running Shotwellj Air Blackbox.
What does the air-blackbox compliance scanner check for?
It scans Python AI agents for EU AI Act compliance issues, analyzes regulatory risks, and provides remediation guidance. The scanner identifies gaps in transparency, documentation, and risk management practices required under EU regulations.
How do I install and run air-blackbox-mcp?
Install via `uvx air-blackbox-mcp@0.1.2`. It runs over stdio transport, so connect it to your MCP client and send scan requests with your Python agent code or file paths.
Does air-blackbox check for specific EU AI Act requirements?
Yes, it analyzes agents against EU AI Act compliance requirements. Check the registry documentation for the specific compliance categories and risk levels it evaluates.
Can air-blackbox remediate compliance issues automatically?
The scanner identifies compliance risks and generates remediation steps, but implementation depends on your agent's architecture. It provides actionable guidance rather than automatic fixes.
What Python versions and agent frameworks does air-blackbox support?
Refer to the project documentation for supported Python versions and AI agent frameworks. The scanner is designed for Python-based AI agents but compatibility details are in the official docs.
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