QuantMind is a knowledge extraction and retrieval framework for quantitative finance that turns papers, news, and filings into structured, cited, time-aware financial knowledge. It supports quantitative researchers and downstream systems that need reliable financial information for retrieval and reasoning. Its catalogue add-ons help coding agents build and verify QuantMind workflows inside the repository.
Borrowing it
Nothing to install: this file belongs to LLMQuant/quant-mind. 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/LLMQuant/quant-mind/master/CLAUDE.mdgit clone --depth 1 https://github.com/LLMQuant/quant-mindWrote 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/llmquant/quant-mind/claude-md)<a href="https://agentmods.dev/instructions/llmquant/quant-mind/claude-md"><img src="https://agentmods.dev/badge/instructions/llmquant/quant-mind/claude-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/llmquant/quant-mind/claude-md"><img src="https://agentmods.dev/badge/instructions/llmquant/quant-mind/claude-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 | $0.00075 | $0.00075 |
| Opus 5.5 | $0.00030 | $0.00030 |
| Sonnet 5.5 | $0.00015 | $0.00015 |
| Haiku 4.5 | $0.00007 | $0.00007 |
Grade C, and why
quant-mind CLAUDE.md scanned grade C 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- CLAUDE.md imports AGENTS.md as the single source of repository instructions for coding agents. Do not duplicate rules here — edit AGENTS.md. Add Claude Code- specific guidance (if any) below the import. This block-l What it actually says
@AGENTS.md
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.
- 1mo ago First seen · 9 lines · 75 tokens per session scan C ea39e9aefe92
quant-mind CLAUDE.md is an instructions file published in the GitHub repository LLMQuant/quant-mind (3,115 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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