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 MerkyorLynn/Lynn --skill a-share-scannergit clone --depth 1 https://github.com/MerkyorLynn/LynnWrote 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/merkyorlynn/lynn/a-share-scanner)<a href="https://agentmods.dev/skills/merkyorlynn/lynn/a-share-scanner"><img src="https://agentmods.dev/badge/skills/merkyorlynn/lynn/a-share-scanner/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/merkyorlynn/lynn/a-share-scanner"><img src="https://agentmods.dev/badge/skills/merkyorlynn/lynn/a-share-scanner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00140 | $0.01721 |
| Opus 5 | $0.00070 | $0.00860 |
| Sonnet 5 | $0.00028 | $0.00344 |
| Haiku 4.5 | $0.00014 | $0.00172 |
Grade A, and why
a-share-scanner 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 10d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A股量化选股扫描器 v1.0
模型驱动的全 A 股量化选股工具。扫描 5000+ 只 A 股，检测市场环境，自适应调整 6 因子权重，输出选股/异动排名 + HTML 报告。
配置
必需： 一个免费的 Tushare Pro token。
- 访问 https://tushare.pro 注册（免费）
- 在个人主页获取 API Token
- 设置环境变量：
export TUSHARE_TOKEN="your_token_here"
或直接传参：
python3 {baseDir}/scripts/a_share_scan.py --token YOUR_TOKEN
依赖安装（自动）：
pip install tushare pandas
或用 uv（推荐）：
uv run {baseDir}/scripts/a_share_scan.py
快速命令
全A扫描（HTML + JSON）
python3 {baseDir}/scripts/a_share_scan.py
执行流程：
- 拉取全A股最新交易日日线快照（5000+ 只）
- 过滤 ST/低价/低流动性
- 获取 5日/20日历史参照日行情
- 检测市场环境（波动率、动量、资金面、板块轮动）
- 6 因子自适应评分
- 输出选股榜 + 异动榜 + 行业分布 + HTML 报告
快速 Top 10
python3 {baseDir}/scripts/a_share_scan.py --top 10
指定股票分析
python3 {baseDir}/scripts/a_share_scan.py --codes 000001,600519,300750
仅 JSON 输出
python3 {baseDir}/scripts/a_share_scan.py --format json
工作原理
6 因子自适应评分
每只股票按 6 个因子评分，权重根据市场环境动态调整：
| 因子 | 基础权重 | 趋势市调整 | 震荡市调整 | 高波动调整 |
|---|---|---|---|---|
| 动量（当日涨跌+5日+20日涨幅） | 25% | x1.3 加强 | x0.7 减弱 | — |
| 量能（量比+换手率+成交额） | 20% | — | — | — |
| 估值（PE/PB/市值合理性） | 15% | x0.8 降低 | x1.3 提升 | — |
| 成长（营收增速+净利增速） | 20% | — | — | x1.2 提升 |
| 分析师（评级+目标价空间） | 10% | — | — | — |
| 风险调整（波动率+涨停风险+偏离度） | 10% | — | — | x1.4 加重 |
市场环境检测
扫描器分析全市场数据，自动判断：
- 波动率水平 — 高/中/低（全市场涨跌幅标准差）
- 动量环境 — 趋势市/震荡市/下跌市（上涨比例+平均涨幅）
- 资金面 — 偏多/中性/偏空（涨停数/跌停数/涨跌比）
- 板块轮动 — 热门行业集中度
数据源
| 接口 | 数据 |
|---|---|
daily |
全A股日线行情（OHLCV+涨跌幅+换手率） |
daily_basic |
量比、总市值、流通市值、PE、PB |
stock_basic |
股票名称、行业、上市日期 |
trade_cal |
交易日历 |
覆盖范围
全 A 股（上交所 + 深交所 + 北交所），自动过滤：
- ST / *ST 股票
- 股价 < 2 元
- 成交额过低
输出
HTML 报告
精美响应式 HTML，包含：
- KPI 面板（Top1 选股、市场环境、核心指标）
- 市场环境诊断卡片
- 全A选股榜 Top 30（含行业、涨跌幅、量比、分数、标签）
- 异动榜 Top 20
- 行业分布
- 自适应权重说明表
JSON 报告
完整机器可读输出，含全部评分数据。
限制
- Tushare 免费 token 每分钟有调用频次限制
- 全A扫描约需 10-30 秒
- 数据为收盘后快照，非实时盘中
- 不构成投资建议 — 仅用于研究与监控
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 185 lines · 140 tokens per session scan A 56ee4255b8a6
a-share-scanner is a skill published in the GitHub repository MerkyorLynn/Lynn (43 stars, last pushed 2d ago), licensed Apache-2.0. It adds 140 tokens to every session and 1,721 once invoked, about $0.0007 per session on Opus 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 2026-08-30.
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