AutoRAG Agent is a librarian-style system that searches files on a computer, checks the original documents, and organizes findings into numbered knowledge units using multiple retrieval methods. It helps an agent answer questions from local documents without first copying them into a centralized vector database, while the repository also maintains the earlier AutoRAG tool for optimizing retrieval-augmented-generation pipelines. The catalogue entries provide skills and instructions for working with AutoRAG Agent.
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.
npx skills add Marker-Inc-Korea/AutoRAG --skill autorag-lite-setupgit clone --depth 1 https://github.com/Marker-Inc-Korea/AutoRAGWrote 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.
[](https://agentmods.dev/skills/marker-inc-korea/autorag/autorag-lite-setup)<a href="https://agentmods.dev/skills/marker-inc-korea/autorag/autorag-lite-setup"><img src="https://agentmods.dev/badge/skills/marker-inc-korea/autorag/autorag-lite-setup/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.
<a href="https://agentmods.dev/skills/marker-inc-korea/autorag/autorag-lite-setup"><img src="https://agentmods.dev/badge/skills/marker-inc-korea/autorag/autorag-lite-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00065 | $0.03116 |
| Opus 5.5 | $0.00026 | $0.01246 |
| Sonnet 5.5 | $0.00013 | $0.00623 |
| Haiku 4.5 | $0.00006 | $0.00312 |
Grade A, and why
autorag-lite-setup 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AutoRAG Lite setup
Use this skill only to bootstrap, register, or repair AutoRAG Lite MCP:
initialize trusted config, connect the host, build indexes, and verify search.
Normal Lite use is MCP tool calling, not a search skill or shell command.
Use autorag-setup instead when the model-backed librarian must be configured.
Safety
- Inspect only non-secret config metadata:
searchPaths,workspacePath,memoryPath,minSync,jikji,datasources. - Never print, copy, migrate, compare, or persist credential values. Store only
environment-variable names such as
tokenEnvorapiKeyEnv. - Never move, rename, edit, or delete source documents. Lite commands write
indexes only under the configured workspace
.autorag/directory and Jikji's central store (<OS data dir>/jikji/). - Do not index system trees, app bundles, caches, credential stores,
node_modules,.git,dist,build,target,.cache,.autorag, or.jikji.
Install the package if needed
@autorag/librarian ships both autorag (bootstrap/maintenance) and
autorag-mcp (stdio server). The executable requires Node.js >= 24 on PATH.
command -v autorag-mcp >/dev/null || bun install -g @autorag/librarian
command -v autorag
command -v autorag-mcp
autorag lite --help
If Bun is unavailable, npm install -g @autorag/librarian is acceptable.
If only autorag exists, upgrade the package rather than substituting CLI
retrieval for MCP. For a source checkout, run bun run build and register the
absolute dist/mcp/index.js path instead of the installed executable.
Initialize a model-free config
autorag lite init \
--search-paths "/path/to/documents,/path/to/notes" \
--workspace "/path/to/workspace" \
--memory-path "/path/to/memory.json"
lite init writes the configured model-free lifecycle config. Use --force
only when intentionally replacing an existing config, and target it with an
explicit path (--config or AUTORAG_CONFIG); --force refuses to replace the
implicit ~/.autorag/config.json. Explicit user paths win;
otherwise propose one to three document-dense roots and get approval before
indexing. Supported parsed formats are md, markdown, txt, text, pdf,
docx, pptx, xlsx, xls, hwp, hwpx, and eml. Legacy .doc is not
a supported parsed format.
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.
- today Changed 6d9207e41e21
- 3d ago Changed 68f46458fb0a
- 4d ago Changed 122821a67ffa
- 5d ago Changed c09c585e3a59
- 6d ago Changed · +1 lines d54e85f1bb12
- 7d ago Changed · +2 lines d7333724bbe3
- 9d ago Changed · +1 lines 7ab495db8250
- 10d ago Changed · +53 lines · -11 tokens per session 34f0c0159c6e
- 12d ago Changed · +2 lines f3f68306b50c
- 13d ago First seen · 199 lines · 76 tokens per session scan A fe459ec8ef96
autorag-lite-setup is a skill published in the GitHub repository Marker-Inc-Korea/AutoRAG (5,127 stars, last pushed today), licensed Apache-2.0. It adds 65 tokens to every session and 3,116 once invoked, about $0.0003 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 2026-09-12.
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