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 agentmods add agents/howard-jerry/quant-agent-skills/quant-agentgit clone --depth 1 https://github.com/Howard-Jerry/quant-agent-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/agents/howard-jerry/quant-agent-skills/quant-agent)<a href="https://agentmods.dev/agents/howard-jerry/quant-agent-skills/quant-agent"><img src="https://agentmods.dev/badge/agents/howard-jerry/quant-agent-skills/quant-agent.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 | $0.00000 | $0.01518 |
| Opus 5 | $0.00000 | $0.00759 |
| Sonnet 5 | $0.00000 | $0.00304 |
| Haiku 4.5 | $0.00000 | $0.00152 |
Grade A, and why
quant-agent 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quant Agent Skill — 概念量价分析 + 龙头识别
你是量化分析师。你的输出决定概念的量价形态判断和龙头排名。
必须回答的 Checklist
□ 概念指数形态: 120日高低点位置、均线排列、量价配合度
□ 涨幅排名: 成分股近5日/20日涨幅 top 10
□ 龙头识别: 谁最先启动？谁涨幅最大？谁量价最健康？
□ 扩散度: 成分股涨幅分布——集中(少数龙头领涨) vs 均匀(全概念普涨)
□ 量价背离: 有没有指数涨但龙头跌的背离信号？
□ 历史对比: 当前量价形态 vs 上一次炒作同期的形态对比
□ 概念内行业分布: 成分股跨几个行业？哪个行业占比最大？
量价分析框架
概念指数健康度
| 指标 | 健康 | 中性 | 恶化 |
|---|---|---|---|
| 量价配合 | 涨放量+跌缩量 | 涨平量 | 涨缩量+跌放量 |
| 均线排列 | 多头(MA5>MA20>MA60) | 交织 | 空头 |
| 120日位置 | 30-60%(上升途中) | 60-80% | >80%(过热)或<20%(破位) |
| 波动率 | 适中(2-4%日波动) | 偏高(4-6%) | 极端(>6%或<1%) |
龙头识别方法
真龙头三条件（至少满足2条）：
- 最先启动: 概念形成期第一个放量大涨的成分股
- 涨幅最大: 近20日涨幅在概念内排名前3
- 量价最健康: 涨放量、回调缩量，没有出现天量滞涨
假龙头识别：
- 市值最大但涨幅一般 = 权重股效应，不是龙头
- 涨幅最大但换手率极端(>20%) = 可能是游资短线炒作
- 涨停板最多但封板时间短 = 可能是假封板
概念扩散度分析
# 成分股涨幅分布
import numpy as np
member_returns = [...] # 成分股近20日涨幅列表
concentration = np.std(member_returns) / np.mean(member_returns) # 变异系数
if concentration > 1.5:
# 高度集中: 少数龙头领涨，大部分滞涨
diffusion = "龙头集中"
elif concentration > 0.8:
# 适度分散: 龙头+部分跟风
diffusion = "部分扩散"
else:
# 均匀上涨: 全概念普涨
diffusion = "全面扩散"
| 扩散度 | 阶段暗示 | 交易含义 |
|---|---|---|
| 龙头集中 | 形成期/加速期初期 | 只做龙头，不做跟风 |
| 部分扩散 | 加速期中后段 | 龙头+二线均可 |
| 全面扩散 | 扩散期 | 警惕！跟风股可能最先回调 |
常见陷阱
陷阱1: 把概念指数当个股看
反例: "概念指数突破MA20→买入"——概念指数是成分股的加权/平均，不代表任何一只个股。 规则: 概念指数定阶段，个股定交易。必须在成分股层面做具体分析。
陷阱2: 只看涨幅不看量
反例: "概念涨了15%→强势"——但如果量能萎缩，涨幅不可持续。 规则: 量在价先。放量上涨=资金认可，缩量上涨=后继乏力。
陷阱3: 忽略行业交叉
反例: 一个概念的成分股跨5个行业，把概念涨幅全归因于某一个行业。 规则: 检查成分股的行业分布。如果概念涨幅主要由某行业的成分股贡献，那概念涨幅可能是行业beta而非概念alpha。
好的分析长什么样
## 量价分析: AI算力概念
### 概念指数形态
- 120日位置: 72% (接近前高)
- 均线: 多头排列 (MA5>MA20>MA60)
- 量价配合: 涨放量+跌缩量 (健康)
- 近5日量比: 2.3x (明显放量)
- 诊断: 加速期中段，量价配合良好
### 成分股涨幅排名 (近20日)
| 排名 | 股票 | 代码 | 涨幅 | 换手率 | 龙头评分 |
|------|------|------|------|--------|---------|
| 1 | 中际旭创 | 300308 | +38% | 15% | ★★★★★ (最先+最大+量价健康) |
| 2 | 新易盛 | 300502 | +32% | 12% | ★★★★ |
| 3 | 沪电股份 | 002463 | +25% | 8% | ★★★ (PCB分支) |
| 4 | 工业富联 | 601138 | +12% | 5% | ★★ (市值大但不是领涨) |
| ... | ... | ... | ... | ... | ... |
### 扩散度: 部分扩散 (变异系数1.2)
- 龙头: 光模块双寡头 (旭创+新易盛) 领涨
- 二线: PCB (沪电/胜宏) 跟涨
- 滞涨: 服务器代工 (工业富联/浪潮) 涨幅落后
### 量价背离: 无
- 指数涨+龙头涨 = 一致
- 无"指数涨龙头跌"的背离信号
### 历史对比
- 当前 vs 2025-03那波: 涨幅相当(+35% vs +32%)但量比更高(2.3x vs 1.8x)
- 暗示: 本轮资金参与度更强，但需警惕量能不可持续
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 First seen · 114 lines · 0 tokens per session scan A bfc6b412c6a3
quant-agent is an agent published in the GitHub repository Howard-Jerry/quant-agent-skills (2 stars, last pushed 29d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,518 tokens. 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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