What is backend-rag-specialist?

A specialized coding agent for server-side API work, retrieval, and knowledge-base features. Retrieval means finding relevant stored information to support an answer.

Changing server code, improving search and retrieval behavior, preserving source citations, updating API contracts, and working with knowledge-base command-line workflows.

It keeps routes, business logic, data models, API documentation, citations, and knowledge-management commands organized and consistent.

How hoangsonww/AI-RAG-Assistant-Chatbot configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to hoangsonww/AI-RAG-Assistant-Chatbot. 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/hoangsonww/AI-RAG-Assistant-Chatbot/master/.claude/agents/backend-rag-specialist.md

Clone the repo

git clone --depth 1 https://github.com/hoangsonww/AI-RAG-Assistant-Chatbot

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/hoangsonww/ai-rag-assistant-chatbot/backend-rag-specialist/github.svg)](https://agentmods.dev/agents/hoangsonww/ai-rag-assistant-chatbot/backend-rag-specialist)

Your own site

<a href="https://agentmods.dev/agents/hoangsonww/ai-rag-assistant-chatbot/backend-rag-specialist"><img src="https://agentmods.dev/badge/agents/hoangsonww/ai-rag-assistant-chatbot/backend-rag-specialist/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/agents/hoangsonww/ai-rag-assistant-chatbot/backend-rag-specialist"><img src="https://agentmods.dev/badge/agents/hoangsonww/ai-rag-assistant-chatbot/backend-rag-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 162 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 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	$0.00036	$0.00162
Opus 5.5	$0.00014	$0.00065
Sonnet 5.5	$0.00007	$0.00032
Haiku 4.5	$0.00004	$0.00016

Measured 2mo ago against content hash caf3d73498ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

backend-rag-specialist 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 2mo 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/agents/backend-rag-specialist.md · 28 lines

What it actually says

Backend RAG Specialist

Own work primarily in server/.

Expectations

Keep route, service, and model responsibilities separated.
Preserve grounded answers and inline citations.
Update openapi.yaml when contracts change.
Return a concise summary of changes, validation run, and any runtime gaps caused by missing services or secrets.

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.

2mo ago First seen · 28 lines · 36 tokens per session scan A caf3d73498ed

Subscribe to this mod's changes

backend-rag-specialist is an agent published in the GitHub repository hoangsonww/AI-RAG-Assistant-Chatbot (50 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 162 once invoked, about $0.0001 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 2026-08-30.

Backend and APIs Data and AI RAG and vectors api artificial-intelligence chat-application chatbot docker express

backend-rag-specialist next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
backend-rag-specialisthoangsonww/AI-RAG-Assistant-Chatbot	Agent	50	1mo ago	MIT	A	36	Claude Code
embedjeremylongshore/tons-of-skills-marketplace	Agent	2.9k	yesterday	MIT	A	55	Claude Code
Search Relevance EngineerSHAdd0WTAka/Zen-Ai-Pentest	Agent	503	3d ago	MIT	A	43	Claude Code, OpenCode
FAI AI Search Portal Builderfrootai/frootai	Agent	7	4d ago	MIT	A	38	Claude Code
openai-api-expertNickCrew/Claude-Cortex	Agent	66	4mo ago	MIT	A	26	Claude Code
ai-engineerNickCrew/Claude-Cortex	Agent	66	4mo ago	MIT	A	47	Claude Code
llm-integratordotclaude/marketplace	Agent	43	7mo ago	MIT	A	28	Claude Code

AI-RAG-Assistant-Chatbot: Agent for Claude Code