Scan AWS, Azure, and GitHub repositories to inventory AI services and usage.
npx skills add https://github.com/kkmookhey/shasta --skill discover-ai
Please help me install this Agent Skill. Skill: discover-ai Source: https://github.com/kkmookhey/shasta/tree/main/.claude/skills/discover-ai Command: npx skills add https://github.com/kkmookhey/shasta --skill discover-ai
Discover AI services and inventory AI usage across cloud accounts and code repositories.
Update shasta.config.json with your python_cmd, aws_profile, azure_subscription_id, and github_repos, then execute the discovery commands to build your AI system inventory.
High-intent search queries and answers about installing and using this skill.
To inventory AI services across AWS and Azure, you can use a discovery tool that scans your configured cloud profiles to enumerate active AI services and structured usage patterns for governance. You need to configure your cloud profiles in a settings file before execution.
Yes, you can scan GitHub repositories to collect evidence of AI integrations. The discovery process enumerates AI usage patterns within your configured repositories, adding code-level AI SDK integrations to your structured system inventory.
Before discovering AI services, you need to update a shasta.config.json file with your python_cmd, aws_profile, azure_subscription_id, and github_repos. These configuration parameters provide the necessary authentication and target definitions for the scanning process.
An AI system inventory includes discovered cloud AI services, evidence of AI integrations from GitHub repositories, and identified AI SDKs. The structured output presents these services and usage patterns to support AI governance across your environments.
Yes, AI usage discovery works with both AWS and Azure environments simultaneously. By configuring your specific aws_profile and azure_subscription_id, the scanning process enumerates AI services across both cloud platforms to produce a unified inventory.
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