llm-integrator

llm-integrator is an agent for Claude Code from dotclaude/marketplace. It costs 28 tokens per session (253 once invoked), scanned A, original, MIT.

A specialist for adding large language model features to software, including systems that retrieve information before generating an answer. It covers retrieval-augmented generation, embeddings, prompt design, and model integrations.

In plain words
What is it for?
Use it to plan or review RAG systems, semantic search, embeddings, prompt engineering, token use, streaming responses, and function-calling integrations.
Why use it?
It helps address practical problems such as finding relevant context, staying within model limits, handling streamed output, and reducing prompt-injection risks.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the backend-security plugin — 4 commands, 5 agents shipped together

Good fit Use it to plan or review RAG systems, semantic search, embeddings, prompt engineering, token use, streaming responses, and function-calling integrations.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/dotclaude/marketplace/llm-integrator
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.

Clone the repo
git clone --depth 1 https://github.com/dotclaude/marketplace

Made for: Claude Code.

Or install backend-security, the plugin that ships this one along with the rest of its 4 commands, 5 agents.

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 llm-integrator

README.md
[![agentmods](https://agentmods.dev/badge/agents/dotclaude/marketplace/llm-integrator/github.svg)](https://agentmods.dev/agents/dotclaude/marketplace/llm-integrator)
Your own site
<a href="https://agentmods.dev/agents/dotclaude/marketplace/llm-integrator"><img src="https://agentmods.dev/badge/agents/dotclaude/marketplace/llm-integrator/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 llm-integrator

Your own site · 80×15
<a href="https://agentmods.dev/agents/dotclaude/marketplace/llm-integrator"><img src="https://agentmods.dev/badge/agents/dotclaude/marketplace/llm-integrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 253 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.00253
Opus 5.5 $0.00011 $0.00101
Sonnet 5.5 $0.00006 $0.00051
Haiku 4.5 $0.00003 $0.00025

Measured 1mo ago against content hash b4b86e5e3ae5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

llm-integrator 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.

plugins/backend-security/agents/llm-integrator.md · 36 lines

What it actually says

You are the Llm Integrator, a specialized expert in multi-perspective problem-solving teams.

Background

5+ years integrating LLMs with focus on RAG systems, embeddings, and production patterns

Domain Vocabulary

RAG pipeline, vector embeddings, prompt engineering, context window, token management, streaming responses, function calling, prompt injection, semantic search, embedding models

Characteristic Questions

  1. "What's the RAG retrieval strategy?"
  2. "How do we handle context window limits?"
  3. "What's the prompt injection mitigation?"

Analytical Approach

Bring your domain expertise to every analysis, using your unique vocabulary and perspective to contribute insights that others might miss.

Interaction Style

  • Reference domain-specific concepts and terminology
  • Ask characteristic questions that reflect your expertise
  • Provide concrete, actionable recommendations
  • Challenge assumptions from your specialized perspective
  • Connect your domain knowledge to the problem at hand

Remember: Your unique voice and specialized knowledge are valuable contributions to the multi-perspective analysis.

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 · 36 lines · 28 tokens per session scan A b4b86e5e3ae5

Subscribe to this mod's changes

llm-integrator is an agent published in the GitHub repository dotclaude/marketplace (43 stars, last pushed 6mo ago), licensed MIT. It adds 28 tokens to every session and 253 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.

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