ai-act-readiness
/cs:ai-act-readiness <system> — EU AI Act 6-question forcing interrogation. Use during AI-system intake, before EU deployment, or during annual compliance refresh as Article 113 obligations phase in (2025-02-02 / 2025-08-02 / 2026-08-02 / 2027-08-02).
Governance Receipt
- Signer
- sovereign-claw-ed25519
- Signed At
- 6/4/2026
- Risk Tier
- T2
- Receipt Hash
- 4781644e
- Manifest Hash
- fb160158884dd8498b4f9570cdb4184c7ec9d954e18c7edee07ee5e697bb0ff7
- Signature
- 8faymaeS
- Root Public Key
- 349b0348
Skill Details
- Gate Verdict
- Elevated · Review
- Publication State
- published
- Risk Tier
- T2
- Manifest Hash
- fb160158
Download Attested Bundle
Install ai-act-readiness
Each bundle is served from the attested copy of ai-act-readiness, so the file you download is the one covered by the governance receipt on this page rather than whatever currently sits at the upstream source.
Claude Code skill
curl -L "https://atestiv.com/api/download/ai-act-readiness?format=claude-code" -o ai-act-readiness.skill.mdMCP tool definitions
curl -L "https://atestiv.com/api/download/ai-act-readiness?format=mcp" -o ai-act-readiness.mcp-tools.jsonRaw attested bundle
curl -L "https://atestiv.com/api/download/ai-act-readiness?format=raw" -o ai-act-readiness.bundle.jsonVerify the bundle against its manifest hash
shasum -a 256 ai-act-readiness.bundle.jsonProvenance
- Catalog identifier:
ai-act-readiness - Harvested from the upstream repository.
- The manifest hash below is what the signing key committed to. A bundle whose digest does not match it is not the attested ai-act-readiness.
- Anything published here has been through the same gate, so a missing receipt is itself a signal rather than an omission.
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Engineering operating model for teams where AI agents generate a large share of implementation output. Role redefinition and workflow patterns.
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Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, patterns to catch blind spots where the same model writes and reviews code.
ai-security
Use when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.