Borrowing it
Nothing to install: this file belongs to csmar432/finai-research. 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/csmar432/finai-research/main/AGENTS.mdgit 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/instructions/csmar432/finai-research/agents-md)<a href="https://agentmods.dev/instructions/csmar432/finai-research/agents-md"><img src="https://agentmods.dev/badge/instructions/csmar432/finai-research/agents-md.svg" alt="Measured on agentmods" 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 | $0.02870 | $0.02870 |
| Opus 5 | $0.01435 | $0.01435 |
| Sonnet 5 | $0.00574 | $0.00574 |
| Haiku 4.5 | $0.00287 | $0.00287 |
Grade A, and why
finai-research 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Codex / Copilot / Claude Code entry point
Purpose: This is the canonical agent entry point for tools that read
AGENTS.md(OpenAI Codex, GitHub Copilot, Claude Code, Lovable, etc.). It is equivalent toCLAUDE.md(Claude Code legacy) and.cursor/rules/system-init.mdc(Cursor IDE).Size budget: keep under 32 KiB (Codex's
project_doc_max_bytes). Defer deep reference to other files.
Project: 论文-研报工作流 · FinResearch Agent
One-liner: Describe your research topic → receive submission-ready LaTeX draft.
A finance & economics AI research workflow that automates the 8-stage research pipeline (idea → lit review → novelty → design → data → analysis → draft → review) with 43 MCP data sources, 58 econometric method modules, 30 journal templates, and 18 AI skills.
Repo: https://github.com/csmar432/finai-research License: MIT
Quick Start (3 commands)
# 1. Install (one of:)
pip install -e ".[extras]" # from source (recommended)
pip install 'finai-research-workflow[extras]' # from PyPI
# 2. Configure LLM (DeepSeek is free for Chinese use)
cp .env.example .env.local
# Edit .env.local: set DEEPSEEK_API_KEY=sk-...
# 3. Run (pick one path)
# 3a. Clarify first (recommended for new topics; does not auto-run writing)
python scripts/start_research.py --topic "Carbon trading and green innovation"
# optional: python scripts/start_research.py --topic "..." --continue --use-hitl
# 3b. Direct writing pipeline
python scripts/agent_pipeline.py --topic "Carbon trading and green innovation" --use-hitl
# 3c. Agent-host / isolation slot (non-interactive, no Mock, fail-closed)
# Writes output/SKIPPED_CONFIG.md + output/FINAL.md when blocked (e.g. no LLM).
# Do NOT invent a parallel pipeline outside FinAI when this exits non-zero.
python scripts/agent_host_entry.py --topic "Carbon trading and green innovation"
# or: place TOPIC.md in cwd, then: python scripts/agent_host_entry.py
Agent-host / isolation protocol
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.
- 3d ago Changed · +59 tokens per session b29441216bc0
- 8d ago First seen · 220 lines · 2,811 tokens per session scan A ae53868d4238
finai-research AGENTS.md is an instructions file published in the GitHub repository csmar432/finai-research (114 stars, last pushed yesterday), licensed MIT. It adds 2,870 tokens to every session, about $0.0144 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
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vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.