langchain SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
langchain from makiya1202/awesome-codex-computer-use is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add makiya1202/awesome-codex-computer-use/langchain@git:20260107.edb38fdPins git:20260107.edb38fd in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- makiya1202/awesome-codex-computer-use
- Path
skills/langchain/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260107.edb38fd, committed Jan 7, 2026
- First version recorded
- Jan 7, 2026
- Size
- 4,906 bytes
- Repository stars
- 2
- License
- none declared
Build LLM applications with LangChain and LangGraph. Use when creating RAG pipelines, agent workflows, chains, or complex LLM orchestration. Triggers on LangChain, LangGraph, LCEL, RAG, retrieval, agent chain.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LangChain & LangGraph
Build sophisticated LLM applications with composable chains and agent graphs.
## Quick Start
```bash
pip install langchain langchain-openai langchain-anthropic langgraph
```
```python
from langchain_anthropic import ChatAnthropic
from langchain_core.prompts import ChatPromptTemplate
# Simple chain
llm = ChatAnthropic(model="claude-3-sonnet-20240229")
prompt = ChatPromptTemplate.from_template("Explain {topic} in simple terms.")
chain = prompt | llm
response = chain.invoke({"topic": "quantum computing"})
```
## LCEL (LangChain Expression Language)
Compose chains with the pipe operator:
```python
from langchain_core.output_parsers import StrOutputParser
from langchain_core.runnables import RunnablePassthrough
# Chain with parsing
chain = (
{"topic": RunnablePassthrough()}
| prompt
| llm
| StrOutputParser()
)
result = chain.invoke("machine learning")
```
## RAG Pipeline
```python
from langchain_openai import OpenAIEmbeddings
from langchain_community.vectorstores import Chroma
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import RunnablePassthrough
# Create vector store
…Read the whole file at its exact version.
How to install
mdr add makiya1202/awesome-codex-computer-use/langchain@sha256:7545900885db70ddThe line at the top of this page pins the label git:20260107.edb38fd, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_i7jtg7skhdhy673v)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Jan 7, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260107.edb38fd latest | 2026-01-07 | edb38fd | 4,906 B | A | view · diff |
| git:20260107.0951120 | 2026-01-07 | 0951120 | 4,749 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4906 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
makiya1202/awesome-codex-computer-use · 2 stars · license none declared · pushed 2026-10-14 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_i7jtg7skhdhy673v GET https://markdownregistry.com/api/v1/resolve?ref=makiya1202/awesome-codex-computer-use/langchain GET https://markdownregistry.com/api/v1/blob/7545900885db70ddc4bad8a2f01d9afb7d6ef8be79ea6a0dd35b79d1ef6c5d66
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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