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.
npx skills add soba-labs/langchain-agent-skills --skill deepagents-setup-configurationgit clone --depth 1 https://github.com/soba-labs/langchain-agent-skillsWrote 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.
[](https://agentmods.dev/skills/soba-labs/langchain-agent-skills/deepagents-setup-configuration)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.01713 |
| Opus 5 | $0.00048 | $0.00856 |
| Sonnet 5 | $0.00019 | $0.00343 |
| Haiku 4.5 | $0.00010 | $0.00171 |
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 10d ago.
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.
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_agentflows. - You need to scaffold a starter project with repository scripts.
- You need to statically validate an
agent.py/agent.js/agent.tsconfig. - 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.
Recommended Workflow
- Decide if Deep Agents is the right abstraction.
- Scaffold with
init_deep_agent_project.py(Python or JS). - Customize tools, prompt, backend, subagents, and persistence.
- Run
validate_deep_agent_config.py. - Use
references/deep-agents-reference.mdfor advanced configuration. - 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/
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/examples/basic-deep-agent/agent.py 7.5 KB runs code
- assets/examples/basic-deep-agent/README.md 785 B
- assets/templates/deep-agent-simple/.env.example 318 B
- assets/templates/deep-agent-simple/agent.py 2.0 KB runs code
- assets/templates/deep-agent-simple/pyproject.toml 438 B
- assets/templates/deep-agent-simple/README.md 2.0 KB
- references/deep-agents-reference.md 6.6 KB
- scripts/.gitignore 14 B
- scripts/init_deep_agent_project.py 21 KB runs code
- scripts/validate_deep_agent_config.py 15 KB runs code
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.
- 10d ago First seen · 170 lines · 95 tokens per session scan A ee0d01b8a93d
deepagents-setup-configuration is a skill published in the GitHub repository soba-labs/langchain-agent-skills (106 stars, last pushed 24d ago), licensed MIT. It adds 95 tokens to every session and 1,713 once invoked, about $0.0005 per session on Opus 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…