rag-implementation

rag-implementation is a skill for Claude Code, Codex from sileo-oss/agentflow-community. It costs 49 tokens per session (4,070 once invoked), scanned A, original, ODbL-1.0.

A workflow for building retrieval-augmented generation (RAG) systems, which let language models retrieve relevant information from external documents or databases before answering.

In plain words
What is it for?
Use it to build document question-answering systems, connect language models to vector databases, and add semantic search.
Why use it?
It helps ground AI responses in a chosen knowledge base instead of relying only on the model's built-in knowledge.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/sileo-oss/agentflow-community/rag-implementation
Any agent
npx skills add sileo-oss/agentflow-community --skill rag-implementation
Clone the repo
git clone --depth 1 https://github.com/sileo-oss/agentflow-community

Made for: Claude Code, Codex.

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 rag-implementation

README.md
[![agentmods](https://agentmods.dev/badge/skills/sileo-oss/agentflow-community/rag-implementation.svg)](https://agentmods.dev/skills/sileo-oss/agentflow-community/rag-implementation)
Your own site
<a href="https://agentmods.dev/skills/sileo-oss/agentflow-community/rag-implementation"><img src="https://agentmods.dev/badge/skills/sileo-oss/agentflow-community/rag-implementation.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,070 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00049 $0.04070
Opus 5 $0.00024 $0.02035
Sonnet 5 $0.00010 $0.00814
Haiku 4.5 $0.00005 $0.00407

Measured 3d ago against content hash 2dd9417ff7c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rag-implementation 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 3d 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.

collections/53a49855-7125-436a-ac9b-962b3e37e3f4/skills/rag-implementation/SKILL.md · 573 lines

The source is not reproduced here

Licensed ODbL-1.0

The repository is licensed ODbL-1.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 3d ago First seen · 573 lines · 49 tokens per session scan A 2dd9417ff7c8

Subscribe to this mod's changes

rag-implementation is a skill published in the GitHub repository sileo-oss/agentflow-community (2 stars, last pushed 5mo ago), licensed ODbL-1.0. It adds 49 tokens to every session and 4,070 once invoked, about $0.0002 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 2026-08-31.

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