Install
$ agentstack add skill-esurovtsev-langchain-lab-filesystem-navigation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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.mdorREADME.rst→ start here, it's the author's own summaryrequirements.txt,pyproject.toml,package.json→ tells you the language and dependenciesDockerfile,docker-compose.yml→ the project is containerizedMakefile,justfile→ there are predefined commands to run.env.example→ environment variables are needed; never read.envitself
Explore Breadth Before Depth
List all top-level directories before diving into any single one. Build a mental map:
src/orapp/→ application code lives heretests/ortest/→ test suiteconfig/orconf/→ configurationdocs/→ documentationscripts/orbin/→ utility scriptsmigrations/oralembic/→ 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.pycould contain anything - Don't read binary files (images, compiled files, databases)
- Don't read
.envfiles — 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__.pyorif __name__ == "__main__"block indicates an entry point - A file named
app.py,main.py, orserver.pyis usually the entry point __init__.pyfiles 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.
- Author: esurovtsev
- Source: esurovtsev/langchain-lab
- License: MIT
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.