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Security Audit & Compliance Toolkit

Automate SAST code reviews, PII scanning, and GDPR compliance audits. Get remediation playbooks for OWASP vulnerabilities. Install in 30 seconds.

Category
AI & Development
Deliverable
1 .skill bundle
Outputs
—
Last updated
13 Jun 2026
$12.99 One-time · lifetime updates
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Overview

What Security Audit & Compliance Toolkit does.

The toolkit runs a structured security pass across whatever you point it at — source code, API definitions, infrastructure configs, or architecture diagrams. It classifies scope first (SAST, PII/GDPR, dependency audit, or compliance gap), then works through OWASP Top 10 patterns, STRIDE threat boundaries, and the specific controls required by your chosen compliance framework. Every finding comes back ranked by severity and exploitability, paired with a concrete remediation step your engineers can act on without further research.

A typical session: you paste a Python Django REST API codebase and say 'audit for GDPR and SOC2, we process user health data.' The skill asks a few scoping questions — cloud provider, logging stack, third-party processors — then delivers a prioritised finding list. Sample output excerpt: CRITICAL — SQL injection via unsanitised query parameter in /api/records (CWE-89); remediate with parameterised queries, example provided. HIGH — SSN values present in application error logs (GDPR Art. 32 breach risk); remediate by stripping sensitive fields from log serialisers. MEDIUM — DPA not documented for SendGrid processor (GDPR Art. 28).

Who it's for

Engineers and CTOs running pre-launch security reviews, compliance officers preparing for SOC2 or ISO 27001 audits, and developers doing pre-pentest groundwork who need a ranked, actionable finding list rather than a raw linter report. Particularly useful for small teams without a dedicated security function.

How it works

Three steps. About two minutes.

Install

Add the .skill file to your Claude app. ~10 seconds.

Run it on your work

Invoke the skill and paste in your material.

Apply the output

Review, keep what works, and use it.

In depth

Why a Claude skill beats a prompt template.

A copy-paste prompt runs one static pass and stops. A skill is a bundled program — instructions, examples, and a workflow Claude runs as a unit: it asks for the right input, applies the same pattern every time, and returns the structured outputs above.

FAQ

Common questions.

What inputs does the skill actually need to work?

At minimum: the code, config, or architecture artifact you want audited, your tech stack (language, framework, cloud provider), and your compliance target (GDPR, SOC2, HIPAA, ISO 27001, or none). If you skip any of these, it will ask conversationally before proceeding.

What does the output look like — is it a freeform report or structured findings?

Findings are returned as a ranked list with severity label (Critical/High/Medium/Low), the specific vulnerability or compliance gap, the CWE or regulatory reference, and a remediation step with code example where applicable. It is structured for direct handoff to an engineering backlog, not for executive reading.

Can it handle compliance frameworks other than GDPR — for example SOC2 or HIPAA?

Yes. You specify the compliance target at runtime. The skill adjusts its control checklist accordingly — SOC2 Trust Service Criteria, ISO 27001 Annex A controls, HIPAA technical safeguards, or GDPR Articles. You can also request a multi-framework gap assessment in a single session.

Does it actually run the code or execute dependency scanners?

No. This is a reasoning-based static review — it reads what you provide and reasons about data flow, trust boundaries, and attacker paths without executing anything. For dependency CVE lookups it will tell you which tool to run (npm audit, pip-audit, etc.) and how to interpret the results, but does not run those tools itself.

Is this useful if I already use a linter or a tool like SonarQube?

Yes, it complements automated scanners rather than replacing them. Linters flag syntax-level patterns; this skill reasons about data flow across components, attacker motivations, and compliance obligations — things that require contextual understanding of your specific stack and threat model.

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