Borrowing it
Nothing to install: this file belongs to Veblin/invest-skills. 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/Veblin/invest-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/Veblin/invest-skillsWrote 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/veblin/invest-skills/agents-md)<a href="https://agentmods.dev/instructions/veblin/invest-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/veblin/invest-skills/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/veblin/invest-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/veblin/invest-skills/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 | $0.02757 | $0.02757 |
| Opus 5.5 | $0.01103 | $0.01103 |
| Sonnet 5.5 | $0.00551 | $0.00551 |
| Haiku 4.5 | $0.00276 | $0.00276 |
Grade A, and why
invest-skills 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 21d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — AI 协作规则
本文件是项目长期边界与变更门禁，跨 harness 适用，所有贡献者（人类和 AI）都应遵守。 不在此维护易变的运行细节——源矩阵、命令清单、报告规则、目录树见：各
SKILL.md、skills/lib/references/（随包携带）与确定性引擎。 约束 1–4 的编号是代码契约（多处源码与测试按号引用），不得重排或合并。
四条硬约束
约束 1：禁止荐股
不输出任何形式的"买入/卖出/持有"建议、仓位建议。允许多情景估值参考价，但必须标注假设前提、概率权重，并明确"仅供参考，不构成投资建议"；不允许无假设前提的单一目标价数字。这是法律红线，也是能力边界——LLM 没有资格做投资建议。
本机研究清单例外 仅在本机显式开启已实现、且明确授权此类内容的许可门时（不能仅凭环境变量名以
INVEST_ENABLE_开头认定；数据源开关不属于内容许可门）， 允许输出「ETF 研究候选清单」类内容，须带「研究候选，非推荐；不构成投资建议」。 对应内容许可门未实现时，本条不构成授权。 仅限本机自用：不得进入任何对外材料（定义见 CLAUDE.md「对外内容红线」），亦不得用作宣传素材； 本条不改变本节禁令对例外之外输出的适用。
约束 2：LLM 输出不能作为投资决策的依据
LLM 存在幻觉问题——在专业金融领域，这些幻觉极难被非专业人士识别。AI 的输出只能作为"学习材料的整理和解读"，不能作为"投资决策的依据"。关键财务数据必须标注可追溯来源：引用财报须给原文定位，引用 akshare / Tushare 等数据接口须给接口及字段或序列信息，不能把采集渠道称为原始披露。
约束 3：所有分析解释必须依赖数据源，引用来源
LLM 生成的分析性文本（趋势解读、行业判断、估值讨论）必须建立在可追溯的数据源之上，而非 LLM 的"知识记忆"。事实性前提须标注来源；推理尚未证实时须标 [推测，待验证] 并说明依据和待核条件。推测标注不豁免事实来源要求，不得用于填补缺失数据或包装无依据的结论。
约束 4：先服务于自己的学习需求，但以可分发标准设计
项目源于作者自身的 A 股/港股投资学习实践。功能迭代以解决自己遇到的真问题为导向，不追求覆盖所有假想需求。同时，项目按 Agent Skills 开放格式构建，面向 Claude Code / Hermes / WorkBuddy 等多平台分发——配置步骤须有文档、数据源须有 fallback、关键路径须在无 Python 环境（MCP 模式）下同样可用。WorkBuddy 分发通道（3 步安装 / token 配置 / 用户级 AGENTS 与 MEMORY 模板 / 真机验收表）见 docs/workbuddy/ 与 README「WorkBuddy 安装」节。
上述兼容性是设计与验收要求，不是已实现或已验证的声明；各分发路径的实际能力与未验项须分别记录。
产品原则
产品呈现数据、分析方法与不确定性，让用户自行验证和判断。项目是开源学习工具，无流量变现/知识付费等商业逻辑。
日常个股研究产出留在本机，不进入公开仓库；对外 demo 须经脱敏与内容审查，具体发布规则见 CLAUDE.md「对外内容红线」。
技术指标规范
MA5/MA10/MA20/MA60 和 MACD（DIF/DEA）等指标仅用于理解市场状态，不用于生成交易信号：可描述价格与均线的位置关系、MACD 的 DIF/DEA 位置与方向、市场参与者的共识趋势；禁止输出"金叉买入""死叉卖出""MACD 底背离抄底"等信号，或基于技术指标给出任何操作建议。学术依据与模块呈现细则见 modules.md。
报告质量门（全 skill 适用）
- 首部有风险声明 / 尾部有风险声明——两条都须完整可见；首部 boilerplate 不得以"置尾"为由删去
- 每个财务数字带
[来源: ...]；推测性语句标[推测，待验证]；不可得维度标⚠️+attempted_sources - 不含"买入/卖出/建仓"等操作建议或信号；具体禁用措辞按 report-conventions.md §3 执行。估值参考价须遵守约束 1 的多情景、假设前提与概率权重要求
- 技术指标仅为状态描述，无交易信号
- 交付前必做：机器准出 + 三层人工复检（数字/合规/逻辑），见 delivery-qc.md；内容逐项自查见 report-conventions.md §7
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.
- 21d ago Changed · -85 lines · +361 tokens per session d7dffa365ba8
- 1mo ago Changed · +1 lines · +49 tokens per session 9e9fe40de65f
- 1mo ago Changed · -3 tokens per session 6e25e244f86f
- 1mo ago First seen · 194 lines · 2,350 tokens per session scan A 5d1c7ad31e23
invest-skills AGENTS.md is an instructions file published in the GitHub repository Veblin/invest-skills (17 stars, last pushed 13d ago), licensed MIT. It adds 2,757 tokens to every session, about $0.0110 per session on Opus 5.5. 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 2026-09-04.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.