Borrowing it
Nothing to install: this file belongs to godisego/hot-money. 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/godisego/hot-money/main/AGENTS.mdgit clone --depth 1 https://github.com/godisego/hot-moneyWrote 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/godisego/hot-money/agents-md)<a href="https://agentmods.dev/instructions/godisego/hot-money/agents-md"><img src="https://agentmods.dev/badge/instructions/godisego/hot-money/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/godisego/hot-money/agents-md"><img src="https://agentmods.dev/badge/instructions/godisego/hot-money/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 | $0.05853 | $0.05853 |
| Opus 5 | $0.02926 | $0.02926 |
| Sonnet 5 | $0.01171 | $0.01171 |
| Haiku 4.5 | $0.00585 | $0.00585 |
Grade A, and why
hot-money AGENTS.md scanned grade A 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sS --max-time 5 -o /dev/null -w "pypi: %{http_code}\n" https://pypi.org/simple/ This is a copy
88% identical to UZI-Skill AGENTS.md — 65 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 405 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UZI-Skill · Agent 指令
本文件供 Codex / Claude Code / Cursor / Devin / OpenCode / Gemini 等 AI agent 自动读取。
🗺️ Repository Layout & Entrypoints (v3.2.0)
绝对路径约定 —— 不要自己瞎猜 · 避免 "scripts/run.py 缺失" 这类误解：
UZI-Skill/ # ← 你 cwd 应该是这里
├── run.py # ✅ 用户入口 · CLI 直跑 (python run.py <ticker>)
├── AGENTS.md / CLAUDE.md / GEMINI.md # agent 指令
├── .claude-plugin/plugin.json # Claude Code manifest
├── .cursor-plugin/plugin.json # Cursor manifest
├── gemini-extension.json # Gemini manifest
├── package.json # OpenClaw / npm
└── skills/deep-analysis/
├── SKILL.md # skill 描述
├── assets/ # HTML 模板 / avatars / icons
└── scripts/ # ← 所有 Python 业务代码在这里
├── run_real_test.py # legacy stage1/stage2 入口 (v3.1 瘦身后 735 行)
├── assemble_report.py # HTML shell 组装 (v3.2 瘦身后 587 行)
├── fetch_*.py (22 个) # 数据采集 · 也是独立 CLI (python fetch_basic.py <ticker>)
├── compute_*.py # 机构建模 (DCF / BCG / Porter)
├── tests/ # 332 pytest
├── .cache/<ticker>/ # 跑过的股票缓存
├── reports/<ticker>_<date>/ # 生成的 HTML 报告
└── lib/
├── pipeline/ # 🆕 v3.0 管道式架构（默认路径）
│ ├── run.py # run_pipeline 编排入口
│ ├── collect.py # 并发 collector (22 fetcher adapter)
│ ├── score.py # scoring 段 (调 rrt 纯函数)
│ ├── synthesize.py # stage2 薄 wrapper
│ ├── score_fns.py # 🆕 v3.1 · 1228 行纯函数
│ ├── preflight_helpers.py # 🆕 v3.1 · 网络/ticker preflight
│ ├── fetchers/registry.py # 22 adapter 工厂
│ └── renderer/ # 21 个 renderer stub (未完全使用)
├── report/ # 🆕 v3.2 · assemble_report 拆分
│ ├── svg_primitives.py # 19 个 svg_* + COLOR_*
│ ├── dim_viz.py # 19 个 _viz_xxx + DIM_VIZ_RENDERERS
│ ├── institutional.py # DCF/LBO/IC memo/catalyst/competitive
│ ├── panel_cards.py # 51 评委 panel 渲染
│ └── special_cards.py # fund/insights/school_scores/debate
└── ...（其他 lib 模块 · investor_db / network_preflight / ...）
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.
- 9d ago First seen · 405 lines · 5,853 tokens per session scan A 53a4ee77ca68
hot-money AGENTS.md is an instructions file published in the GitHub repository godisego/hot-money (2 stars, last pushed 4mo ago), licensed MIT. It adds 5,853 tokens to every session, about $0.0293 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to UZI-Skill AGENTS.md, differing in 65 lines, and is treated as a copy.
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
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.