workspace-deep-audit

To perform a comprehensive workspace audit, run a multi-stream analysis that dispatches parallel agents to evaluate inventory, dependency health, security posture, and best-practice alignment, generating a prioritized backlog of P0-P3 improvements.

A workspace health audit is an evidence-backed check that identifies architectural drift, security gaps, and best-practice deviations. You need to run it before major strategic milestones or quarterly reviews to quantify ecosystem health.

Yes, workspace audits can automatically cross-reference all dependencies against the latest versions using Context7 validation to flag critical security or compatibility risks across your ecosystem.

Running a deep workspace audit requires python3, git, and standard command-line utilities like wc, ls, find, du, along with pre-commit and pip to evaluate dependency health and enforce best-practice compliance.

The best way to score your workspace is to evaluate it against a 34-point best-practices rubric, which quantifies alignment with industry-leading agentic design and produces actionable delta reports for maintenance.

Manual review misses architectural drift because it lacks the parallel agentic streams needed to comprehensively evaluate inventory, dependencies, and security posture simultaneously across the entire workspace ecosystem.