Run Whitney code scans and Shasta cloud checks for AI governance compliance.
npx skills add https://github.com/kkmookhey/shasta --skill ai-scan
Please help me install this Agent Skill. Skill: ai-scan Source: https://github.com/kkmookhey/shasta/tree/main/.claude/skills/ai-scan Command: npx skills add https://github.com/kkmookhey/shasta --skill ai-scan
This skill automates AI governance scanning by combining Whitney's code-scan outputs with Shasta's cloud AI checks to help startups verify compliance across code repositories and cloud environments.
Install Whitney, configure shasta.config.json, and run the ai-scan skill to generate a governance report.
High-intent search queries and answers about installing and using this skill.
AI governance scanning is automated by combining Whitney code-scan outputs with Shasta cloud checks, evaluating configurations against ISO 42001, EU AI Act, and NIST AI RMF to produce a consolidated compliance score and remediation guidance.
Checking NIST AI RMF and EU AI Act compliance is done by running cloud governance checks that evaluate AWS and Azure configurations, mapping findings to regulatory frameworks to deliver a structured JSON summary with actionable remediation steps.
Yes, you need to install Whitney and configure the shasta.config.json file to run the scan, which shells Whitney results into a unified risk view and integrates cloud SDK outputs for a complete governance report.
Getting a consolidated compliance score for application code and cloud setup is possible by integrating Whitney code findings and Shasta cloud checks, enriching the results with compliance scores and prioritized remediation guidance for leadership and engineers.
Mapping cloud SDK results to ISO 42001 relies on evaluating AWS and Azure configurations through Shasta checks, producing a structured JSON summary, but requires proper environment setup and accurate shasta.config.json configuration to avoid incomplete governance findings.
Automated code scanning helps startups reduce audit time by continuously monitoring application code and cloud environments, combining findings into a unified risk view with compliance scores and remediation guidance to increase governance confidence.
transilienceaiAutomate AI governance checks across cloud accounts and code repositories.
transilienceaiGenerate Markdown, HTML, and PDF compliance reports from scan data.
devendrapratapsinghAudit container images, Kubernetes configurations, cloud environments, and infrastructure as code for security vulnerabilities.
daemon-blockint-techClassify AI use cases by risk tier for governance and compliance.
