langchain_patterns

langchain_patterns is a skill for Claude Code from vuralserhat86/antigravity-agentic-skills. It costs 57 tokens per session (2,725 once invoked), scanned A, original, no licence file.

A guide to building Retrieval-Augmented Generation (RAG) systems with LangChain4j. RAG lets an AI application search documents or a knowledge base before generating an answer.

In plain words
What is it for?
Use it to create document-ingestion pipelines, store embeddings in vector databases, search them, and build question-answering assistants.
Why use it?
It helps AI applications use external documents and current project information instead of relying only on the model's built-in knowledge.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to create document-ingestion pipelines, store embeddings in vector databases, search them, and build question-answering assistants.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vuralserhat86/antigravity-agentic-skills/langchain_patterns
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 vuralserhat86/antigravity-agentic-skills --skill langchain_patterns
Clone the repo
git clone --depth 1 https://github.com/vuralserhat86/antigravity-agentic-skills

Made for: Claude Code.

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 langchain_patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/vuralserhat86/antigravity-agentic-skills/langchain_patterns/github.svg)](https://agentmods.dev/skills/vuralserhat86/antigravity-agentic-skills/langchain_patterns)
Your own site
<a href="https://agentmods.dev/skills/vuralserhat86/antigravity-agentic-skills/langchain_patterns"><img src="https://agentmods.dev/badge/skills/vuralserhat86/antigravity-agentic-skills/langchain_patterns/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 langchain_patterns

Your own site · 80×15
<a href="https://agentmods.dev/skills/vuralserhat86/antigravity-agentic-skills/langchain_patterns"><img src="https://agentmods.dev/badge/skills/vuralserhat86/antigravity-agentic-skills/langchain_patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,725 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.
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 $0.00057 $0.02725
Opus 5.5 $0.00023 $0.01090
Sonnet 5.5 $0.00011 $0.00545
Haiku 4.5 $0.00006 $0.00272

Measured 1mo ago against content hash ca9bb4e4d255, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langchain_patterns 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 1mo 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.

skills/langchain_patterns/SKILL.md · 397 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. 1mo ago First seen · 397 lines · 57 tokens per session scan A ca9bb4e4d255

Subscribe to this mod's changes

langchain_patterns is a skill published in the GitHub repository vuralserhat86/antigravity-agentic-skills (43 stars, last pushed 9mo ago), with no licence file. It adds 57 tokens to every session and 2,725 once invoked, about $0.0002 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 2026-09-03.

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langchain_patterns

Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.

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