What is langchain-agent-skills AGENTS.md?

Repository instructions for a collection of skills for LangChain, LangGraph, LangSmith, and Deep Agents, tools used to build and operate AI applications. They describe the repository structure and its contributor source of truth.

Use them when adding or updating skills for agent setup, planning, LangGraph projects, agent coordination, state management, error handling, or evaluation.

They help an agent follow the repository’s conventions and locate the relevant skill instead of editing the wrong guide or package.

How soba-labs/langchain-agent-skills configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to soba-labs/langchain-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/soba-labs/langchain-agent-skills/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills

Made for: Claude Code, Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/soba-labs/langchain-agent-skills/agents-md/github.svg)](https://agentmods.dev/instructions/soba-labs/langchain-agent-skills/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/soba-labs/langchain-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/soba-labs/langchain-agent-skills/agents-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/soba-labs/langchain-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/soba-labs/langchain-agent-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,590 This file is loaded in full into every session.

When invoked 2,590 The same file — it is already loaded in full.

Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.02590	$0.02590
Opus 5	$0.01295	$0.01295
Sonnet 5	$0.00518	$0.00518
Haiku 4.5	$0.00259	$0.00259

Measured 9d ago against content hash 583cac8579c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade C, and why

langchain-agent-skills AGENTS.md scanned grade C with 1 finding 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 9d 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf test-project

AGENTS.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

AGENTS.md is the single source of truth for contributor and agent guidance in this repository. All workflow, tooling, and architecture rules live here. CLAUDE.md only points to this document.

Project Overview

This repository contains a collection of LangChain/LangGraph/LangSmith/Deep Agents skills for AI coding assistants. Skills are modular, self-contained packages that extend an agent's capabilities with specialized knowledge, workflows, and tools for the LangChain ecosystem.

Repository Structure

skills/
├── skill-creator/              # Meta-skill for creating new skills
├── deepagents-setup-configuration/ # Skill for Deep Agents initialization, configuration, and validation
├── deepagents-planning-todos/  # Skill for task planning and decomposition with write_todos
├── langgraph-project-setup/    # Skill for initializing LangGraph projects
├── langgraph-agent-patterns/   # Skill for multi-agent coordination patterns
├── langgraph-state-management/ # Skill for state schemas, reducers, persistence
├── langgraph-error-handling/   # Skill for retry, recovery, and escalation
├── langgraph-testing-evaluation/ # Skill for testing and evaluating agents
├── langsmith-trace-analyzer/   # Skill for fetching and analyzing LangSmith traces
├── langsmith-deployment/       # Skill for deploying agents to production
└── [1 planned skill]

Each skill follows this structure:
skill-name/
├── SKILL.md                 # Required: YAML frontmatter + markdown instructions
├── scripts/                 # Executable automation (Python/JavaScript/TypeScript)
├── references/              # Detailed documentation (loaded on-demand)
└── assets/                  # Templates, examples, schemas (optional)

Package output (*.skill) is optional for distribution/export and should not be treated as source-of-truth.
Marketplace/plugin paths should point to skills/<skill-name> directories in this repository.
Roadmap and ordering are tracked in PLAN.md.

Read the full file on GitHub · 242 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.

9d ago First seen · 242 lines · 2,590 tokens per session scan C 583cac8579c7

Subscribe to this mod's changes

langchain-agent-skills AGENTS.md is an instructions file published in the GitHub repository soba-labs/langchain-agent-skills (106 stars, last pushed 23d ago), licensed MIT. It adds 2,590 tokens to every session, about $0.0129 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

langchain-agent-skills: Instructions file for Claude Code