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 FeiCoder/Skill-Factory --skill capital-flowgit clone --depth 1 https://github.com/FeiCoder/Skill-FactoryWrote 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/feicoder/skill-factory/capital-flow)<a href="https://agentmods.dev/skills/feicoder/skill-factory/capital-flow"><img src="https://agentmods.dev/badge/skills/feicoder/skill-factory/capital-flow/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/feicoder/skill-factory/capital-flow"><img src="https://agentmods.dev/badge/skills/feicoder/skill-factory/capital-flow.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 | $0.00045 | $0.00931 |
| Opus 5.5 | $0.00018 | $0.00372 |
| Sonnet 5.5 | $0.00009 | $0.00186 |
| Haiku 4.5 | $0.00005 | $0.00093 |
Grade A, and why
capital-flow 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 1mo 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
资金流选股
基本概念
资金流是反映股票供求关系的指标，能够观察微观市场交易者的真实意图及对股价的影响。
巴菲特的观点
"股市从短期看是投票机，从长期看一定是称重机"
资金流定义
资金流入：股价上涨时的成交额 资金流出：股价下跌时的成交额 资金净流量：流入 - 流出
计算公式
资金净流量 = Σ(Volume × sign(Pi - Pi-1))
其中：
- Volume: 成交量
- Pi: i时刻收盘价
- Pi-1: 上一时刻收盘价
资金流测算方法
1. 日数据法
- 当日价格上涨全部计为流入
- 价格下跌计为流出
2. 高频数据法（推荐）
使用高频数据（分钟级或更高）计算：
- 成交价 ≥ 卖方最优价 → 流入
- 成交价 ≤ 买方最优价 → 流出
招商资金流模型(CMSMF)
招商证券开发的资金流模型：
- 采用高频数据
- 以报价作为比较基准
- 衍生指标：
- 资金流信息含量
- 资金流强度
- 资金杠杆倍数
策略模型
逆向选择理论
A股市场存在信息不对称：
- 机构投资者率先对信息做出反应
- 羊群效应的散户投资者追涨杀跌
- 市场对信息反应过度
逆向选择策略：
- 卖出前期资金流入、价格上涨的股票
- 买入前期资金流出、价格下跌的股票
选股步骤
-
确定股票池
- 剔除上市不满1个月的股票
- 剔除涨跌停及停牌的股票
- 剔除信息含量<10%的股票
-
指标打分
- 按各资金流指标排序
- 百分制整数打分法
-
求和排序
- 各指标得分求和
- 选取排名靠前的N只股票
-
组合构建
- 等量权重
- 1-3个月定期调整
实证案例
沪深300股票池
| 资金规模 | 调仓周期 | 效果 |
|---|---|---|
| 1亿 | 1个月 | 较好 |
| 3亿 | 3个月 | 最佳 |
| 10亿 | 1个月 | 一般 |
全市场股票池
| 资金规模 | 调仓周期 | 效果 |
|---|---|---|
| 1亿 | 1个月 | 较好 |
| 3亿 | 1个月 | 最佳（全市场小盘股波动大） |
注意事项
- 高频依赖性：资金流指标对高频数据有依赖性
- 信号钝化：超高频下计算结果可能钝化
- 同步指标：资金净流入与股价上涨高度相关
- 异常处理：小盘股、低成交量时可能失真
实践建议
- 选择合适的资金流测算频率（日/周/月）
- 结合其他因子使用
- 考虑资金规模对流动性的影响
- 设置合理的调仓周期
适用场景
- 短线交易选股
- 市场情绪判断
- 机构资金动向跟踪
- 配合多因子模型使用
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.
- 1mo ago First seen · 124 lines · 45 tokens per session scan A 946bf0d15c79
capital-flow is a skill published in the GitHub repository FeiCoder/Skill-Factory (11 stars, last pushed 7mo ago), licensed MIT. It adds 45 tokens to every session and 931 once invoked, about $0.0002 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 2026-08-31.
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