llm-ingestion

llm-ingestion is an agent for Claude Code from NAZCAMEDIA/claude-code-config. It costs 32 tokens per session (4,005 once invoked), scanned A, original, no licence file.

An agent focused on connecting large language models to software that parses documents, creates content, reads PDFs, or generates advertisements. Large language models are AI systems that work with text and other data.

In plain words
What is it for?
Use it for document parsing, content generation, PDF ingestion, and AI-powered ad creation with OpenAI, Claude, or Ollama.
Why use it?
It provides a designated specialist for projects combining document processing with AI-generated content.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it for document parsing, content generation, PDF ingestion, and AI-powered ad creation with OpenAI, Claude, or Ollama.

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Install with agentmods
npx agentmods add agents/nazcamedia/claude-code-config/llm-ingestion
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/NAZCAMEDIA/claude-code-config

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 llm-ingestion

README.md
[![agentmods](https://agentmods.dev/badge/agents/nazcamedia/claude-code-config/llm-ingestion/github.svg)](https://agentmods.dev/agents/nazcamedia/claude-code-config/llm-ingestion)
Your own site
<a href="https://agentmods.dev/agents/nazcamedia/claude-code-config/llm-ingestion"><img src="https://agentmods.dev/badge/agents/nazcamedia/claude-code-config/llm-ingestion/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-ingestion

Your own site · 80×15
<a href="https://agentmods.dev/agents/nazcamedia/claude-code-config/llm-ingestion"><img src="https://agentmods.dev/badge/agents/nazcamedia/claude-code-config/llm-ingestion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,005 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00032 $0.04005
Opus 5.5 $0.00013 $0.01602
Sonnet 5.5 $0.00006 $0.00801
Haiku 4.5 $0.00003 $0.00400

Measured 1mo ago against content hash 78c30338035e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

llm-ingestion scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

const pdfBuffer = await fetch(pdfFile.url).then(r => r.arrayBuffer());
claude-code-cli/agents/llm-ingestion.md · 538 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 · 538 lines · 32 tokens per session scan A 78c30338035e

Subscribe to this mod's changes

llm-ingestion is an agent published in the GitHub repository NAZCAMEDIA/claude-code-config (1 stars, last pushed 8mo ago), with no licence file. It adds 32 tokens to every session and 4,005 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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