Borrowing it
Nothing to install: this file belongs to Marker-Inc-Korea/AutoRAG. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Marker-Inc-Korea/AutoRAG/main/AGENTS.mdgit 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/instructions/marker-inc-korea/autorag/agents-md)<a href="https://agentmods.dev/instructions/marker-inc-korea/autorag/agents-md"><img src="https://agentmods.dev/badge/instructions/marker-inc-korea/autorag/agents-md/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/instructions/marker-inc-korea/autorag/agents-md"><img src="https://agentmods.dev/badge/instructions/marker-inc-korea/autorag/agents-md.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 | $0.04941 | $0.04941 |
| Opus 5 | $0.02471 | $0.02471 |
| Sonnet 5 | $0.00988 | $0.00988 |
| Haiku 4.5 | $0.00494 | $0.00494 |
Grade A, and why
AutoRAG AGENTS.md 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · +17 tokens per session 157cf1c9194c
- 2d ago Changed · +29 lines · +363 tokens per session e0e953fbb7c5
- 4d ago Changed · +18 tokens per session df79baa1f351
- 6d ago Changed · +29 lines · +477 tokens per session 063dc62a4dbe
- 7d ago Changed · +4 lines · +119 tokens per session a3966145b4cf
- 10d ago First seen · 270 lines · 3,947 tokens per session scan A 442cdb0c2cd9
AutoRAG AGENTS.md is an instructions file published in the GitHub repository Marker-Inc-Korea/AutoRAG (5,063 stars, last pushed today), with no licence file. It adds 4,941 tokens to every session, about $0.0247 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 2026-08-30.
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