workspace-surface-audit
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ecc-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up OpenAI Codex or understanding what capabilities are actually available in their environment.
npx skills add mturac/everything-openai-codex --skill workspace-surface-audit --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Workspace Surface Audit Read-only audit skill for answering the question "what can this workspace and machine actually do right now, and what should we add or enable next?" This is the ecc-native answer to setup-audit plugins. It does not modify files unless the user explicitly asks for follow-up implementation. ## When to Use - User says "set up OpenAI Codex", "recommend automations", "what plugins or MCPs should I use?", or "what am I missing?" - Auditing a machine or repo before installing more skills, hooks, or connectors - Comparing official marketplace plugins against ecc-native coverage - Reviewing `.env`, `.mcp.json`, plugin settings, or connected-app surfaces to find missing workflow layers - Deciding whether a capability should be a skill, hook, agent, MCP, or external connector ## Non-Negotiable Rules - Never print secret values. Surface only provider names, capability names, file paths, and whether a key or config exists. - Prefer ecc-native workflows over generic "install another plugin" advice when ecc can reasonably own the surface. - Treat external plugins as benchmarks and inspiration, not authoritative product boundaries. - Separate three things clearly: - alrea
- When to Use
- Non-Negotiable Rules
- Audit Inputs
- Audit Process
- Phase 1: Inventory What Exists
- Phase 2: Benchmark Against Official and Installed Surfaces
- Phase 3: Turn Gaps Into ecc Decisions
- Output Format
- Recommendation Rules
- Good Outcomes
What does the workspace-surface-audit skill do?
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ecc-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up OpenAI Codex or understanding what capabilities are actually available in their environment.
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill workspace-surface-audit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.