workshop-agent-harness: Skill for Claude Code

.claude/skills/langchain-rag/SKILL.md

langchain-rag is a skill for Claude Code from caio-moliveira/workshop-agent-harness. It costs 52 tokens per session (3,564 once invoked), scanned A, original, no licence file.

A guide to building retrieval-augmented generation systems, which let an AI find relevant information in documents before generating an answer. It covers loading documents, splitting them into smaller pieces, creating embeddings, and storing those representations for search.

In plain words
What is it for?
Use it when building a system that answers questions from documents. It covers document loaders, RecursiveCharacterTextSplitter, OpenAI embeddings, and Chroma, FAISS, or Pinecone vector stores.
Why use it?
It helps you connect an AI model to your own documents instead of relying only on its built-in knowledge. It explains the main parts needed to find useful source text for a response.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is caio-moliveira/workshop-agent-harness's own configuration. It tells Claude Code how to work on workshop-agent-harness itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything workshop-agent-harness configures →

Reuse

Borrowing it

Nothing to install: this file belongs to caio-moliveira/workshop-agent-harness. 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/caio-moliveira/workshop-agent-harness/main/.claude/skills/langchain-rag/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/caio-moliveira/workshop-agent-harness

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-rag

README.md
[![agentmods](https://agentmods.dev/badge/skills/caio-moliveira/workshop-agent-harness/langchain-rag/github.svg)](https://agentmods.dev/skills/caio-moliveira/workshop-agent-harness/langchain-rag)
Your own site
<a href="https://agentmods.dev/skills/caio-moliveira/workshop-agent-harness/langchain-rag"><img src="https://agentmods.dev/badge/skills/caio-moliveira/workshop-agent-harness/langchain-rag/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-rag

Your own site · 80×15
<a href="https://agentmods.dev/skills/caio-moliveira/workshop-agent-harness/langchain-rag"><img src="https://agentmods.dev/badge/skills/caio-moliveira/workshop-agent-harness/langchain-rag.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,564 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 $0.00052 $0.03564
Opus 5 $0.00026 $0.01782
Sonnet 5 $0.00010 $0.00713
Haiku 4.5 $0.00005 $0.00356

Measured 9d ago against content hash 599a137f876d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

langchain-rag 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 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.

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.

.claude/skills/langchain-rag/SKILL.md · 545 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. 9d ago First seen · 545 lines · 52 tokens per session scan A 599a137f876d

Subscribe to this mod's changes

langchain-rag is a skill published in the GitHub repository caio-moliveira/workshop-agent-harness (22 stars, last pushed 2mo ago), with no licence file. It adds 52 tokens to every session and 3,564 once invoked, about $0.0003 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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