Spawn parallel agents to audit codebase quality dimensions and produce a scored report.
npx skills add https://github.com/willietran/autoboard --skill audit-willietran
Please help me install this Agent Skill. Skill: audit Source: https://github.com/willietran/autoboard/tree/main/skills/audit Command: npx skills add https://github.com/willietran/autoboard --skill audit-willietran
Deep, multi-agent codebase quality audits surface strengths, weaknesses, and risks with an evidence-based synthesis, enabling teams to understand and improve their codebase holistically.
Run the audit skill in the current working directory to perform a full, multi-dimension quality audit.
High-intent search queries and answers about installing and using this skill.
A multi-agent codebase audit automates evidence-based analysis by spawning one focused agent per quality dimension. These agents independently analyze the monorepo, surface dimensional issues, and synthesize findings into a final scored report.
Reviewing code quality across multiple languages is handled by orchestration-driven workflows that spawn parallel agents. Each agent goes deep into specific dimensions, comparing patterns and risk areas across the full multi-language codebase to produce a scored synthesis.
Checkpoint mode supports layer coherence audits during orchestration by catching cross-session issues. It evaluates architectural layer consistency across active sessions, ensuring dimensional quality patterns remain coherent throughout the multi-agent workflow.
Static analysis through multi-agent static review surfaces architectural risk areas by independently evaluating quality dimensions. The parallel agents gather evidence-based findings across the entire codebase, highlighting dimensional weaknesses and patterns.
Multi-agent code review explicitly supports multi-language projects and monorepos. The orchestration-driven workflow applies dimensional analysis across the full codebase independently of language constraints, producing a unified scored report.
FRIKKernSpawn a multi-role Doey R&D team in a 2x2 tmux grid.
hainamchungAssess architecture, threat models, and controls to prioritize security audit findings.
ZESCODEValidate task completion via multi-agent tests, linting, and requirement checks.
willietranAutomate cross-layer coherence checks after merges to detect DRY violations, architecture drift, and security gaps.
