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.
npx skills add Lord1Egypt/awesome-skill-forge --skill a-share-stock-diagnosisgit clone --depth 1 https://github.com/Lord1Egypt/awesome-skill-forgeWrote 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/skills/lord1egypt/awesome-skill-forge/a-share-stock-diagnosis)<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/a-share-stock-diagnosis"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-share-stock-diagnosis/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/skills/lord1egypt/awesome-skill-forge/a-share-stock-diagnosis"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-share-stock-diagnosis.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 | $0.00160 | $0.03425 |
| Opus 5 | $0.00080 | $0.01713 |
| Sonnet 5 | $0.00032 | $0.00685 |
| Haiku 4.5 | $0.00016 | $0.00343 |
Grade A, and why
stock-diagnosis 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 12d 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.
This is a copy
84% identical to bilibili-helper — 332 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A股个股诊断 (Stock Diagnosis)
概述
采用自上而下(Top-Down) 三层分析法：
宏观层 → 行业层 → 个股层 → 综合诊断
工作流程
Step 1: 宏观分析
- 调用
china-macro-climate技能进行中国宏观景气分析 - 获取完整的宏观分析结果
- 将完整的宏观分析报告原样输出到最终报告的第二部分
Step 2: 行业分析
- 确定该股票所属的申万一级行业
- 可通过 mx-finance-data 查询该股票的行业归属
- 调用
industry-diagnosis技能进行行业诊断 - 获取完整的行业分析报告
- 将完整的行业分析报告原样输出到最终报告的第三部分
Step 3: 个股分析（四维度）
从以下四个维度对个股进行全面分析，每个维度必须逐项展开：
| 维度 | 权重 | 核心问题 |
|---|---|---|
| 基本面 | 35% | 公司质地如何？估值合理吗？ |
| 技术面 | 25% | 当前价格趋势和位置如何？ |
| 资金面 | 20% | 聪明钱在买还是卖？ |
| 消息面 | 20% | 近期有什么催化或风险？ |
3.1 基本面分析
| 子项 | 指标 | 数据源 | 分析要点 |
|---|---|---|---|
| 盈利能力 | ROE(TTM)、毛利率、净利率、营收/利润增速 | mx-finance-data 财报 | 是否持续改善？与行业对比如何？ |
| 估值水位 | PE(TTM)、PB、PS、PE/PB历史分位(近5年) | mx-finance-data 估值 | 处于历史什么位置？贵还是便宜？ |
| 成长性 | 营收CAGR(3年)、归母净利润CAGR(3年) | mx-finance-data | 增速是否在加速/减速？ |
| 财务健康 | 资产负债率、经营现金流/营收比、应收账款周转 | mx-finance-data | 是否有暴雷风险？ |
| 股东回报 | 股息率、分红率、回购计划 | mx-finance-data + 公告 | 是否重视股东回报？ |
| 机构覆盖 | 卖方覆盖家数、盈利预测调整方向 | mx-finance-data | 市场共识如何？ |
3.2 技术面分析
| 子项 | 指标 | 数据源 | 分析要点 |
|---|---|---|---|
| 趋势 | MA5/10/20/60/120排列 | mx-finance-data K线 | 多头/空头/盘整？ |
| 动量 | RSI(14)、KDJ、MACD | mx-finance-data 技术指标 | 超买还是超卖？金叉死叉？ |
| 量价 | 成交量同比变化、量价配合 | mx-finance-data 行情 | 放量还是缩量？健康吗？ |
| 支撑/压力 | 前高/前低、筹码密集区 | mx-finance-data + K线 | 关键价位在哪？ |
| 形态 | K线组合、通道形态 | K线图形 | 头肩顶/W底/旗形？ |
| 相对强弱 | vs 所属行业指数、vs 沪深300 | 计算 | 跑赢板块还是跑输？ |
3.3 资金面分析
| 子项 | 指标 | 数据源 | 分析要点 |
|---|---|---|---|
| 北向资金 | 近5日/20日/60日北向净流入 | mx-finance-data 北向数据 | 外资在买还是卖？ |
| 主力资金 | 超大单/大单净流入(近5日) | mx-finance-data 资金流向 | 机构在吸筹还是出货？ |
| 融资余额 | 融资余额变化 | mx-finance-data | 散户杠杆方向？ |
| 大宗交易 | 大宗交易折溢价、成交量 | 交易所公开数据 | 有无机构大宗接盘？ |
| 股东增减持 | 近3月董监高/大股东增减持 | 公司公告 | 内部人怎么看？ |
3.4 消息面分析
| 子项 | 指标 | 数据源 | 分析要点 |
|---|---|---|---|
| 近期公告 | 业绩预告/快报/正式财报 | 公司公告/mx-finance-data | 超预期还是低于预期？ |
| 新闻舆情 | 正面/负面新闻热度 | web_search | 舆论环境如何？ |
| 政策影响 | 行业政策对公司影响 | web_search | 政策利好还是利空？ |
| 机构研报 | 近期研报观点变化 | mx-finance-data 研报 | 券商上调/下调评级？ |
| 业绩催化剂 | 未来3个月业绩催化事件 | 公司日历/行业日历 | 有什么值得期待的事件？ |
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.
- 12d ago First seen · 287 lines · 160 tokens per session scan A fcdb6a11345e
stock-diagnosis is a skill published in the GitHub repository Lord1Egypt/awesome-skill-forge (2 stars, last pushed 3mo ago), licensed MIT. It adds 160 tokens to every session and 3,425 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to bilibili-helper, differing in 332 lines, and is treated as a copy.
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