managed-deep-agents

managed-deep-agents is a skill for Claude Code from langchain-ai/langchain-skills. It costs 123 tokens per session (6,585 once invoked), scanned A, original, no licence file.

A guide for building and deploying Managed Deep Agents in LangSmith with the mda command-line tool. LangSmith is a service for developing and operating language-model applications.

In plain words
What is it for?
Use it to define an agent, create its project files, test it, and deploy it through the mda CLI.
Why use it?
It helps turn an idea into a project that fits what Managed Deep Agents can actually do, while guiding the setup from start to deployment.

Skill for Claude Code ✓ vendor

Written for Claude Code: shipped in a Claude Code plugin.

Part of the langchain-skills plugin — 22 skills shipped together

Good fit Use it to define an agent, create its project files, test it, and deploy it through the mda CLI.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/langchain-ai/langchain-skills/managed-deep-agents
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 langchain-ai/langchain-skills --skill managed-deep-agents
Clone the repo
git clone --depth 1 https://github.com/langchain-ai/langchain-skills

Made for: Claude Code.

Or install langchain-skills, the plugin that ships this one along with the rest of its 22 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 managed-deep-agents

README.md
[![agentmods](https://agentmods.dev/badge/skills/langchain-ai/langchain-skills/managed-deep-agents/github.svg)](https://agentmods.dev/skills/langchain-ai/langchain-skills/managed-deep-agents)
Your own site
<a href="https://agentmods.dev/skills/langchain-ai/langchain-skills/managed-deep-agents"><img src="https://agentmods.dev/badge/skills/langchain-ai/langchain-skills/managed-deep-agents/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 managed-deep-agents

Your own site · 80×15
<a href="https://agentmods.dev/skills/langchain-ai/langchain-skills/managed-deep-agents"><img src="https://agentmods.dev/badge/skills/langchain-ai/langchain-skills/managed-deep-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,585 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
  • Socket pass 8 Aug 2026
  • Snyk warn 8 Aug 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 176
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 479
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Rogue Agent · line 245
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
  • medium Excessive Agency · line 274
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin unknown 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 $0.00123 $0.06585
Opus 5 $0.00062 $0.03292
Sonnet 5 $0.00025 $0.01317
Haiku 4.5 $0.00012 $0.00658

Measured 11d ago against content hash 73cc335c4fe8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

managed-deep-agents 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 11d 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.

config/skills/managed-deep-agents/SKILL.md · 519 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 11d ago First seen · 519 lines · 123 tokens per session scan A 73cc335c4fe8

Subscribe to this mod's changes

managed-deep-agents is a skill published in the GitHub repository langchain-ai/langchain-skills (1,207 stars, last pushed 2d ago), with no licence file. It adds 123 tokens to every session and 6,585 once invoked, about $0.0006 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.

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