Audit Claude Code and GitHub Copilot workspace configurations against best practices.
npx skills add https://github.com/GMartin-Data/audit-workspace --skill audit-workspace
Please help me install this Agent Skill. Skill: audit-workspace Source: https://github.com/GMartin-Data/audit-workspace/tree/main Command: npx skills add https://github.com/GMartin-Data/audit-workspace --skill audit-workspace
Developers using Claude Code or GitHub Copilot often configure their workspaces with instructions, skills, and agents without knowing if they follow best practices. Common issues like vague instructions, missing test commands, or misconfigured skills are only discovered in production, leading to wasted time and unreliable agent behavior.
Use the audit-workspace skill to evaluate your project's AI configuration files and receive a scored compliance report with findings and prioritized next steps.
High-intent search queries and answers about installing and using this skill.
You can audit your AI workspace configuration by validating instructions, skills, and agents against documented best practices to produce a scored compliance report with severity-classified findings and prioritized corrective actions.
Workspace auditing works with both Claude Code and GitHub Copilot configurations. It automatically detects which platform your workspace uses and loads only the relevant criteria to validate your setup.
An AI workspace audit detects common configuration issues like vague instructions, missing test commands, and misconfigured skills. It checks your files against 30+ documented best-practice criteria with severity levels.
To standardize AI practices across teams, run a workspace audit to identify configuration gaps and ensure consistent, reliable agent behavior. This generates a structured compliance report with a global score and prioritized next steps.
A scored AI workspace compliance report includes a global score, findings classified by severity, and prioritized corrective actions. This structured output helps you quickly address configuration gaps and improve agent reliability.
You can audit workspace instructions before production to catch misconfigured skills and vague instructions. This proactive validation prevents unreliable agent behavior and saves debugging time later.
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