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Ming00777Ming00777/ai-workflow-advisor/skills/workspace-audit/SKILL.md

workspace-audit

Skill1 starsChanged 59 days agoMITView on GitHub

Audit a user-authorized local workspace to identify file types, installed commands, project dependencies, and possible AI workflow needs without reading sensitive file contents or changing the system.

3 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions3 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 3

    1. gerivdb/SKILLS★ 1same name
    2. dylanmoo/workos-plugin★ 0same name
    3. scribemail/claude-plugin★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository3 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈6

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when a user asks what AI tools, CLI programs, MCP servers, or Agents fit their current work environment.

    line 8
  2. Distinctive:

    Prefer cheap, read-only checks: current working directory, bounded file-name inventory, package manifests, Git metadata, and version/help …

    line 13
  3. Distinctive:

    Never print secrets. Do not read API keys, cookies, tokens, OAuth files, private message contents, or full document bodies.

    line 14
  4. Distinctive:

    If access is unavailable, say so and ask the user about their workflow instead of pretending to have historical usage data.

    line 16
  5. Distinctive:

    follow-up questions that would materially change recommendations.

    line 32
  6. Distinctive:

    Do not install, authenticate, modify PATH, edit config files, or call third-party services in this mode.

    line 34

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Workspace Audit

Use this skill when a user asks what AI tools, CLI programs, MCP servers, or Agents fit their current work environment.

Operating rules

  1. Explain the exact scan scope and ask for authorization before inspecting local paths or command availability.
  2. Prefer cheap, read-only checks: current working directory, bounded file-name inventory, package manifests, Git metadata, and version/help commands for explicitly requested binaries.
  3. Never print secrets. Do not read API keys, cookies, tokens, OAuth files, private message contents, or full document bodies. Redact environment variables and configuration values.
  4. Distinguish facts from inferences. A .xlsx file proves that a spreadsheet exists; it does not prove the user's recurring job.
  5. If access is unavailable, say so and ask the user about their workflow instead of pretending to have historical usage data.

Scan scope

Unless the user sets a different boundary, inspect only the current workspace at a bounded depth and a small allowlist of manifest names. You may check whether a .git directory or remote exists, but do not print credentials or remote URLs containing tokens. Check command existence and versions only for a short relevant list; do not enumerate every installed program.

Output

Return a compact audit with:

  • scan scope and timestamp;
  • observed facts, such as file-extension counts, manifests, Git presence, and command/version evidence;
  • user-provided context, kept separate from machine observations;
  • likely tasks, clearly marked as hypotheses;
  • capabilities not observed in this scope, never phrased as proof of absence;
  • files, secrets, or permissions intentionally not inspected;
  • follow-up questions that would materially change recommendations.

Do not install, authenticate, modify PATH, edit config files, or call third-party services in this mode.

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