deepagents-setup-configuration

deepagents-setup-configuration is a skill for Claude Code from soba-labs/langchain-agent-skills. It costs 95 tokens per session (1,713 once invoked), scanned A, original, MIT.

A setup and troubleshooting guide for Deep Agents, an agent framework built with Python or JavaScript. It includes built-in planning, file handling, checkpoints, and delegation to subagents.

In plain words
What is it for?
Use it to scaffold or validate Deep Agent projects, configure middleware and storage, add human approval steps, or migrate from older agent APIs.
Why use it?
It helps you choose the right setup, create a starter project, check its configuration, and migrate older agent code.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the deepagents-skills plugin — 3 skills shipped together

Good fit Use it to scaffold or validate Deep Agent projects, configure middleware and storage, add human approval steps, or migrate from older agent APIs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/soba-labs/langchain-agent-skills/deepagents-setup-configuration
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add soba-labs/langchain-agent-skills --skill deepagents-setup-configuration
Clone the repo
git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills

Made for: Claude Code.

Or install deepagents-skills, the plugin that ships this one along with the rest of its 3 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for deepagents-setup-configuration

README.md
[![agentmods](https://agentmods.dev/badge/skills/soba-labs/langchain-agent-skills/deepagents-setup-configuration/github.svg)](https://agentmods.dev/skills/soba-labs/langchain-agent-skills/deepagents-setup-configuration)
Your own site
<a href="https://agentmods.dev/skills/soba-labs/langchain-agent-skills/deepagents-setup-configuration"><img src="https://agentmods.dev/badge/skills/soba-labs/langchain-agent-skills/deepagents-setup-configuration/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for deepagents-setup-configuration

Your own site · 80×15
<a href="https://agentmods.dev/skills/soba-labs/langchain-agent-skills/deepagents-setup-configuration"><img src="https://agentmods.dev/badge/skills/soba-labs/langchain-agent-skills/deepagents-setup-configuration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,713 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00095 $0.01713
Opus 5.5 $0.00038 $0.00685
Sonnet 5.5 $0.00019 $0.00343
Haiku 4.5 $0.00010 $0.00171

Measured 2mo ago against content hash ee0d01b8a93d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deepagents-setup-configuration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (assets/examples/basic-deep-agent/agent.py, assets/templates/deep-agent-simple/agent.py, scripts/init_deep_agent_project.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/deepagents-setup-configuration/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Agents Setup and Configuration

Deep Agents are an agent harness on top of LangChain + LangGraph with built-in planning, filesystem context management, and subagent delegation.

Use This Skill When

  • You need a Deep Agent quickly (Python or JavaScript).
  • You need subagents, filesystem-backed context, planning (write_todos), or long-term memory patterns.
  • You need migration guidance from older create_react_agent flows.
  • You need to scaffold a starter project with repository scripts.
  • You need to statically validate an agent.py / agent.js / agent.ts config.
  • You need safety checks before open-sourcing Deep Agents examples/templates.

Tooling In This Skill

  • scripts/init_deep_agent_project.py: scaffolds Python/JS projects with templates.
  • scripts/validate_deep_agent_config.py: static checks for Deep Agent config quality.
  • references/deep-agents-reference.md: detailed API, middleware, backends, migration, troubleshooting.
  • assets/templates/deep-agent-simple/: minimal Python starter template.
  • assets/examples/basic-deep-agent/: richer Python example.
  1. Decide if Deep Agents is the right abstraction.
  2. Scaffold with init_deep_agent_project.py (Python or JS).
  3. Customize tools, prompt, backend, subagents, and persistence.
  4. Run validate_deep_agent_config.py.
  5. Use references/deep-agents-reference.md for advanced configuration.
  6. Run the generated project and verify traces/behavior.

Choose The Right Abstraction

Need Deep Agents LangChain create_agent LangGraph
Built-in planning/filesystem/subagents ✅ Best fit ⚠️ Manual middleware setup ❌ Manual graph design
Fast path for complex multi-step tasks ✅ ⚠️ ⚠️
Fully custom graph topology ❌ ❌ ✅ Best fit
Minimal/simple agent (1-3 steps) ⚠️ Overhead ✅ Best fit ⚠️

Initialize A Project

Use repo-local scripts and prefer uv run.

# Python simple template
uv run skills/deepagents-setup-configuration/scripts/init_deep_agent_project.py my-agent --language python --template simple --path skills/

# Python with subagents
uv run skills/deepagents-setup-configuration/scripts/init_deep_agent_project.py my-agent --language python --template with-subagents --path skills/

# Python CLI-config template (memory/checkpointer toggles)
uv run skills/deepagents-setup-configuration/scripts/init_deep_agent_project.py my-agent --language python --template cli-config --path skills/

# JavaScript template
uv run skills/deepagents-setup-configuration/scripts/init_deep_agent_project.py my-agent --language javascript --template simple --path skills/

Read the full file on GitHub · 170 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 170 lines · 95 tokens per session scan A ee0d01b8a93d

Subscribe to this mod's changes

deepagents-setup-configuration is a skill published in the GitHub repository soba-labs/langchain-agent-skills (106 stars, last pushed 18d ago), licensed MIT. It adds 95 tokens to every session and 1,713 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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