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First-party source

Deepagents Python Quickstart

Create a minimal local Python Deep Agent using the documented quickstart path.

Editorial note checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.

What it does

The workflow aims at a small executable example and a specified search-tool approach. It is an onboarding path rather than a production architecture or general dependency inventory.

Best for

Python developers evaluating Deep Agents with a controlled task.

Tradeoffs and requirements

Model and search providers may require credentials and usage charges. A local process can still send data to external services.

Unknown; inspect source requirements and supporting scripts.

Install from the source

Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.

npx skills add https://github.com/langchain-ai/langchain-skills/tree/126c384d8552dcb476b226c244172186cc3f4328/config/skills/deepagents-python-quickstart --skill deepagents-python-quickstart

Review pinned skill folder ↗ · CLI documentation ↗

After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.

Safety & review signals

Static review only. This is not a security audit or a guarantee of safety.

SKILL.md text only; scripts, dependencies and runtime behavior not audited.

  • Network Access — review the source context.

Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.

AI Craft Pad Skill Score

80/100 · Metadata coverage 100% · Model 1.0

Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.

Documentation
71/100
71
Maintenance
100/100
100
License Clarity
100/100
100
Repository Health
100/100
100
Compatibility Evidence
80/100
80
Popularity
56/100
56
Originality
80/100
80
Static Safety
60/100
60
Read the formula and limits →

Suggested workflow

Inspect current prerequisites, create an isolated project and configure only the documented minimum dependencies and tools.

How to judge the result

Run a harmless representative request, verify actual tool calls and errors, and identify credentials, costs and deployment requirements left outside the quickstart.

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