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CodeWithJVCodeWithJV/agent-skills/review-context-hub/SKILL.md

review-context-hub

Skill2 starsChanged 5 months agoMITView on GitHub

Review a repo as a context hub. Use when the user wants an overview of the repo structure, recent changes, standing instruction files, installed skills, remotes, or who has access.

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 10 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈10

    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:

    check remotes, ownership, or access

    line 34
  2. Distinctive:

    If the user is really asking for implementation, debugging, or code review, do not use this as the primary skill.

    line 36
  3. Distinctive:

    Check for skill directories such as:

    line 92
  4. Distinctive:

    If the GitHub CLI is available and authenticated, try to determine:

    line 118
  5. Distinctive:

    If you cannot verify access directly, say so clearly and infer only from remotes, org ownership, and visibility.

    line 124
  6. Distinctive:

    Default to a short structured review:

    line 128
  7. Distinctive:

    Suggested next checks: if useful

    line 142
  8. Distinctive:

    Prefer orientation over exhaustiveness

    line 147
  9. Distinctive:

    Call out uncertainty clearly

    line 149
  10. Distinctive:

    Do not assume GitHub access if you cannot verify it

    line 150

≈ “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

Review Context Hub

Review a repository as a context hub.

This skill is for understanding the what that lives in a repo:

  • the outline of the repo
  • recent changes
  • standing instruction files
  • installed skills
  • git remotes
  • who has access

Your job is not to make changes by default. Your job is to produce a useful orientation pass.

When to Use

Activate this skill when the user asks to:

  • review a context hub
  • inspect a repo before doing work
  • explain what context an AI would pick up from this repo
  • show what instruction files or skills are present
  • check remotes, ownership, or access

If the user is really asking for implementation, debugging, or code review, do not use this as the primary skill.

Core Mental Model

  • The context hub is about what
  • Skills are about how

This skill reviews the what:

  • what the repo contains
  • what recent work happened
  • what standing instructions exist
  • what reusable skills are available
  • what remotes and access boundaries exist

Review Pass

Work from the repo root.

1. Outline the repo

Get a quick sense of the top-level structure.

Look for:

  • main folders
  • docs or notes areas
  • workflow output folders
  • instruction/config folders

Summarize the structure in plain language. Do not dump giant file listings unless the user asks.

2. Review recent changes

Inspect recent git history and current worktree state.

Look for:

  • current branch
  • uncommitted changes
  • recent commits
  • whether the repo looks actively used or stale

3. Review standing instruction files

Check for:

  • CLAUDE.md
  • AGENTS.md
  • GEMINI.md
  • nested variants if relevant

Explain what each one appears to govern.

4. Review installed skills

Check for skill directories such as:

  • .claude/skills/
  • .agents/skills/ (shared by Codex and Gemini CLI)
  • .gemini/skills/

Give a high-level overview:

  • which skill systems are present
  • what kinds of skills exist
  • whether the repo appears to rely on local/project skills

You do not need to read every skill in full. Prefer names, descriptions, and obvious categories first.

5. Review remotes and ownership

Inspect git remotes.

Explain:

  • where the repo is hosted
  • whether it appears personal or organizational
  • what that suggests about who owns the hub

6. Review access

If the GitHub CLI is available and authenticated, try to determine:

  • whether the repo is public or private
  • who the owner is
  • who has collaborator/admin access, if that can be checked safely

If you cannot verify access directly, say so clearly and infer only from remotes, org ownership, and visibility.

Output Format

Default to a short structured review:

Context Hub Review

  • Repo outline: ...
  • Recent changes: ...
  • Instruction files: ...
  • Skills present: ...
  • Git remotes: ...
  • Access/ownership: ...
  • What this hub seems optimized for: ...

Then add:

  • Gaps / risks
  • Suggested next checks if useful

Good Behavior

  • Be concise
  • Prefer orientation over exhaustiveness
  • Separate verified facts from inference
  • Call out uncertainty clearly
  • Do not assume GitHub access if you cannot verify it

Useful Commands

See reference/checklist.md for a lightweight command checklist.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.