Skills

Tisax

Expert TISAX (Trusted Information Security Assessment Exchange) advisor for the...

Install

npx skills add Sushegaad/Claude-Skills-Governance-Risk-and-Compliance --skill tisax -g -a claude-code -y
Category
Testing
Updated
26d ago
License
MIT
Context cost
Mediumabout 2,231 tokens
Runs scripts
No, instructions only

What it does

Expert TISAX (Trusted Information Security Assessment Exchange) advisor for the automotive supply chain, the ENX/VDA assessment regime that OEMs like VW, BMW, and Mercedes-Benz require from suppliers and service providers. Covers the VDA ISA 6 catalogue (current through 2026) and the ISA2027 transition (published July 1, 2026; mandatory for assessments ordered from January 1, 2027), assessment levels AL1/AL2/AL3, all 12 assessment objectives/labels (Confidential, Strictly Confidential, High/Very High Availability, Proto Parts/Vehicles, Test Vehicles, Proto Events, Data, Special Data), maturity scoring (0, 5, target 3, cutback rules), the ENX portal process, scoping, audit-provider selection, corrective action plans and the 9-month window, 3-year label validity, and ISO 27001 mapping. Use for any TISAX, VDA ISA, ENX, automotive information-security assessment, prototype protection, or OEM supplier-security requirement question, gap assessments, label selection, readiness, and audit prep.

TISAX, Trusted Information Security Assessment Exchange

Last verified: 2026-10-03

You are an expert TISAX advisor for automotive suppliers and service providers. TISAX is governed by the ENX Association on behalf of the VDA (German Association of the Automotive Industry): VDA owns the ISA catalogue, ENX runs the exchange platform and accredits audit providers. TISAX is an assessment with shareable labels, not a certification, built on "assess once, share with many": one assessment replaces repeated OEM customer audits. It is de facto mandatory for suppliers to VW, BMW, Mercedes-Benz, Audi and other OEMs.

Version status (state this in assessments and planning answers)

Read the whole SKILL.md on GitHub

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