Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/HKUDS/Vibe-Tradingnpx agentmods add skills/hkuds/vibe-trading/ashare-pre-st-filterWrote 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/hkuds/vibe-trading/ashare-pre-st-filter)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/ashare-pre-st-filter"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/ashare-pre-st-filter/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/hkuds/vibe-trading/ashare-pre-st-filter"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/ashare-pre-st-filter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00089 | $0.10221 |
| Opus 5 | $0.00044 | $0.05110 |
| Sonnet 5 | $0.00018 | $0.02044 |
| Haiku 4.5 | $0.00009 | $0.01022 |
Grade A, and why
ashare-pre-st-filter 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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ashare-pre-st-filter — 97% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 515 lines — stays where its author put it; the contents beside it link to each section on GitHub.
依赖：本 skill 必须配合 tushare skill 使用，缺数据时回退到 akshare skill。
A 股 ST/*ST 风险预测
适用范围
- 仅 A 股主板 / 创业板 / 科创板。港股、美股、加密、商品、北交所（
8xxxxx.BJ监管规则与本 skill 阈值不一致）均不适用，本 skill 直接拒绝。 - 仅做"下一财年是否会被 ST/*ST"的前瞻预测，不做财务造假预测。
- 输出双轴结果：触线风险等级 + 预测可信度。
触发条件
用户提问形如：
- "分析 000729.SZ 的 ST 风险"
- "600xxx 下个年报会不会被 ST"
- "帮我看一下 300xxx 是否有退市风险"
收到此类请求时，按下面"分析流程"执行；其他场景不要主动启用本 skill。
数据获取规范（tushare 优先 → akshare 兜底）
铁律：
- 所有财务/基本面/分红/审计/ST 状态数据，必须先调用 tushare skill，按下表指定的接口名、
ts_code、period拉取。 - 当 tushare 接口因积分不足、token 缺失或返回空时，回退到 akshare skill 对应函数。
- akshare 兜底数据必须在最终输出"备注"中显式标注：
数据源：akshare（非官方聚合，不保证完整性，建议核对原始公告）。不允许只用 akshare 给出"高可信度"预测——akshare 兜底的红线项可信度强制降一档（高→中高，中高→中，中→低）。 - 监管处罚（E2）走本 skill 自带的 scripts/fetch_sina_penalties.py，不经过 tushare/akshare。
数据需求映射表
| 数据需求 | tushare 接口（首选） | 抓取参数 / 时间窗口 | akshare 兜底 | akshare 注意事项 |
|---|---|---|---|---|
| 当前 ST 状态 | stock_st |
最近一个交易日 | stock_zh_a_st_em() |
仅返回当前 ST/退市整理板列表，历史不可查 |
| 历史改名 | namechange |
ts_code 全历史 |
stock_zh_a_new_em()（仅新股，无改名） |
akshare 无完整改名接口，必要时跳过 |
| 股票基础信息（板块判断） | stock_basic |
list_status='L' |
stock_individual_info_em(symbol) |
字段名不同，需自行映射 |
| 业绩预告 | forecast |
ts_code + 最近 2 个 period（{Y}0630/{Y}0930/{Y}1231） |
stock_yjyg_em(date='YYYYMMDD') |
按报告期日期反查，需先按 period 拉全市场再筛 ts_code |
| 业绩快报 | express |
同上，最近 2 个 period | stock_yjbb_em(date='YYYYMMDD') |
同上，全市场快照需筛 |
| 利润表 | income |
ts_code + 最近 5 个 period（过去 4 年年报 {Y}1231 + 最新中报/三季报） |
stock_financial_report_sina(stock='sh600000', symbol='利润表') |
单位不一致（万元 vs 元），需做归一；季报缺失常见 |
| 资产负债表 | balancesheet |
同上 | stock_financial_report_sina(stock='sh600000', symbol='资产负债表') |
同上 |
| 现金流量表 | cashflow |
同上 | stock_financial_report_sina(stock='sh600000', symbol='现金流量表') |
同上 |
| 财务指标（扣非净利润等） | fina_indicator |
ts_code + 最近 5 个 period |
stock_financial_analysis_indicator(symbol='600000') |
字段中文，扣非字段名为"扣除非经常性损益后的净利润" |
| 审计意见 | fina_audit |
ts_code + 最近 2 个年报 period |
akshare 无对应接口 | 缺失时在输出中标注"审计意见数据缺失"，不得跳过——必须提示用户去官网查 |
| 分红 | dividend |
ts_code + 近 5 年 div_proc='实施' |
stock_history_dividend_detail(symbol='600000', indicator='分红') |
字段中文，需把"派息"金额×总股本得到现金分红总额 |
| 日线行情（1 元退市预警） | daily |
ts_code + 最近 30 个交易日 |
stock_zh_a_hist(symbol='600000', period='daily', adjust='') |
必须用不复权价格判断 1 元退市线 |
| 每日指标（市值） | daily_basic |
ts_code + 最近一个交易日 |
stock_zh_a_spot_em() 全市场快照筛 代码=600000 |
字段名为"总市值"（单位：元，东方财富 push2 原始口径，akshare 不做缩放），换算成亿元需 /1e8。⚠️ 不要与 tushare daily_basic.total_mv（万元）混淆——本列是 akshare 兜底口径 |
| 财报披露日期 | disclosure_date |
ts_code + 当前年度 |
akshare 无对应接口 | 缺失时按经验估算（4/30 年报、8/31 中报、10/31 三季报） |
| 监管处罚 | — | — | 走本 skill 自带 sina 脚本 | 见 E2 章节 |
What ships with it
1 file 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.
- 8d ago Changed 18633f54faf8
- 12d ago First seen · 515 lines · 89 tokens per session scan A 88e4979d0973
ashare-pre-st-filter is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed yesterday), licensed MIT. It adds 89 tokens to every session and 10,221 once invoked, about $0.0004 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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