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SKILL verified MIT Self-run

Filesystem Navigation

skill-esurovtsev-langchain-lab-filesystem-navigation · by esurovtsev

Guidelines for systematically exploring and understanding directory structures.

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Install

$ agentstack add skill-esurovtsev-langchain-lab-filesystem-navigation

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Filesystem Navigation

When to Use This Skill

When you are asked to explore, understand, or map a project's file structure. This includes requests like "what is this project?", "show me the structure", or "help me find where X is".

Strategy

Start at the Root

Always begin by listing the top-level directory. The root reveals the project type faster than anything else:

  • README.md or README.rst → start here, it's the author's own summary
  • requirements.txt, pyproject.toml, package.json → tells you the language and dependencies
  • Dockerfile, docker-compose.yml → the project is containerized
  • Makefile, justfile → there are predefined commands to run
  • .env.example → environment variables are needed; never read .env itself

Explore Breadth Before Depth

List all top-level directories before diving into any single one. Build a mental map:

  • src/ or app/ → application code lives here
  • tests/ or test/ → test suite
  • config/ or conf/ → configuration
  • docs/ → documentation
  • scripts/ or bin/ → utility scripts
  • migrations/ or alembic/ → database migrations

Go Deeper with Purpose

Don't read every file. Choose what to read based on what you're trying to answer:

  • To understand what the project does → README, then entry point
  • To understand how it's structured → list src/ recursively
  • To understand how to run it → README, Makefile, Dockerfile, config
  • To understand dependencies → requirements.txt, package.json, pyproject.toml

Things to Avoid

  • Don't assume a file's purpose from its name alone — utils.py could contain anything
  • Don't read binary files (images, compiled files, databases)
  • Don't read .env files — they may contain secrets
  • Don't try to read node_modules/, __pycache__/, .git/, or other generated directories
  • Don't list deeply nested directories all at once — go level by level

Signals That Help

  • A __main__.py or if __name__ == "__main__" block indicates an entry point
  • A file named app.py, main.py, or server.py is usually the entry point
  • __init__.py files in Python indicate a package; they may re-export key symbols
  • Hidden files (.gitignore, .flake8, .pre-commit-config.yaml) reveal tooling choices

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.