Coordinates multiple AI agents to audit codebases for security, quality, and compliance.
npx skills add https://github.com/vinhnxv/rune-plugin --skill audit-vinhnxv
Please help me install this Agent Skill. Skill: audit Source: https://github.com/vinhnxv/rune-plugin/tree/main/plugins/rune/skills/audit Command: npx skills add https://github.com/vinhnxv/rune-plugin --skill audit-vinhnxv
This Skill automates the auditing of large codebases by coordinating multiple AI agents to review, aggregate, and validate findings, reducing manual overhead and increasing risk visibility.
Run a full incremental audit of this project to generate the TOME report.
High-intent search queries and answers about installing and using this skill.
You can automate a codebase audit by coordinating multiple AI agents to review files, workflows, and API contracts, which aggregate findings into structured reports like TOME.md for security, quality, and compliance.
Incremental codebase audits use state management to review only changed files and workflows, applying risk scoring and deep analysis to generate updated coverage reports without reprocessing the entire repository.
Multi-agent orchestration assigns specialized AI agents to review different codebase sections, aggregate findings, and validate results, producing auditable traces with risk scoring and optional Lore passes for deep analysis.
Yes, you can audit API contracts and workflows across large repositories by deploying coordinated agents that perform full or incremental reviews, validating findings against compliance rules and generating structured outputs.
Deep analysis and Lore passes on large codebases require significant processing due to full repository scans, risk scoring, and multi-agent validation, making incremental audits more efficient for ongoing compliance checks.
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