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LangChain

v1.0.0

Avoid common LangChain mistakes — LCEL gotchas, memory persistence, RAG chunking, and output parser traps.

⭐ 2· 1.3k·16 current·17 all-time
byIván@ivangdavila
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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Benign
high confidence
✓
Purpose & Capability
Name/description (LangChain gotchas and best practices) matches the content of SKILL.md. The only declared runtime requirement is python3, which is reasonable for LangChain-related advice; no unexpected credentials, binaries, or config paths are requested.
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Instruction Scope
SKILL.md contains high-level usage guidance and warnings only — it does not instruct the agent to read files, call external endpoints, or access credentials. Note: instructions are advisory; they could be used to guide actions if an agent is later asked to execute code, but the skill itself does not command execution or data collection.
✓
Install Mechanism
No install spec and no code files are present, so nothing is written to disk or downloaded. This is the lowest-risk install profile (instruction-only).
✓
Credentials
The skill declares no required environment variables, credentials, or config paths. There is no disproportionate request for secrets or unrelated service tokens.
✓
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent presence or elevated platform privileges. Autonomous model invocation remains enabled by platform default but is not a special property of this skill.
Assessment
This skill is a read-only guide for LangChain best practices and appears coherent and low-risk: it asks for nothing sensitive and contains only advisory text. Before installing, confirm you trust the skill source (source/homepage are unknown). Because it's instruction-only, there is no code to execute now, but if the skill is later updated to include install steps or code files, re-check those for downloads, required credentials, or instructions that run arbitrary commands. If you plan to have an agent execute LangChain code using these tips, ensure the agent's execution environment (python3, installed packages) and access to data/credentials are controlled and limited to what you expect.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

🦜 Clawdis
OSLinux · macOS · Windows
Binspython3

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