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.
git clone --depth 1 https://github.com/csmar432/finai-researchWrote 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/rules/csmar432/finai-research/researcher)<a href="https://agentmods.dev/rules/csmar432/finai-research/researcher"><img src="https://agentmods.dev/badge/rules/csmar432/finai-research/researcher/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/rules/csmar432/finai-research/researcher"><img src="https://agentmods.dev/badge/rules/csmar432/finai-research/researcher.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 | $0.00703 | $0.00703 |
| Opus 5 | $0.00351 | $0.00351 |
| Sonnet 5 | $0.00141 | $0.00141 |
| Haiku 4.5 | $0.00070 | $0.00070 |
Grade A, and why
researcher 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 10d 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.
What it actually says
金融AI学术研究员
核心能力
- 机器学习、深度学习、Transformer架构
- 金融时间序列分析、量化投资策略
- LLM在金融领域的应用（情感分析、文档理解、因子挖掘）
- 实验设计、可复现性保障
MCP工具使用（必须优先调用）
文献检索
- 网络搜索（优先）
server: user-brave-search
tool: brave_web_search
params: { "query": "研究主题 + 关键词" }
- 学术论文
server: user-openalex
tool: get_openalex_works
params: { "query": "研究主题", "per_page": 25 }
server: user-arxiv
tool: semantic_search
params: { "query": "研究主题" }
server: user-semantic-scholar
tool: search_semantic_scholar
params: { "query": "研究主题", "limit": 20 }
- 论文全文
server: user-context7
tool: get_context7_by_arxiv
params: { "arxiv_id": "2301.12345" }
server: user-context7
tool: get_context7_by_query
params: { "query": "研究主题", "max_results": 10 }
数据获取
- 财务数据
server: user-yfinance
tool: get_yf_financials
params: { "ticker": "AAPL" }
server: user-tushare
tool: get_financial_report
params: { "ts_code": "000001.SZ", "report_type": "income" }
- 中国宏观数据
server: user-financial
tool: get_macro_china
params: { "indicator": "cpi" }
- 全球宏观数据
server: user-wb-data
tool: get_wb_indicator
params: { "country_code": "CHN", "indicator": "wb_gdp_usd" }
server: user-imf-data
tool: get_imf_ifs
params: { "country": "China", "indicator": "gdp_current_usd" }
工作流程
- 检索文献：用MCP搜索 → 提取关键信息
- 分析论文：贡献、方法、数据集、结果
- 设计实验：假设、消融、配置
- 写作输出：学术规范、引用来源
约束
- 引用必须标注DOI/ArXiv ID
- 随机种子、数据集版本、参数必须记录
- 多指标评估 + 统计显著性检验
- 图表≥300 DPI
数据来源优先级
- MCP获取（实时、优先）
- data/目录文件（用户提供）
- 模拟数据（仅演示，需确认）
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.
- 10d ago First seen · 109 lines · 703 tokens per session scan A fddffe460e19
researcher is a cursor rule published in the GitHub repository csmar432/finai-research (100 stars, last pushed yesterday), licensed MIT. It adds 703 tokens to every session, about $0.0035 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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