ashare-pre-st-filter
This skill forecasts whether A-share companies listed on the main board, ChiNext, or STAR Market will receive ST/*ST warnings in the next fiscal year. It evaluates revenue, profit, net assets, and dividend thresholds against regulatory standards, incorporating Sina penalty records as independent evidence. The analysis outputs both risk level and prediction confidence, with data sourced primarily from Tushare and backed up by Akshare when needed.
ashare-pre-st-filter predicts whether A-share companies will face ST/*ST risk warnings based on latest financial reports.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-27
ashare-pre-st-filter predicts whether A-share companies will face ST/*ST risk warnings based on latest financial reports. This skill forecasts whether A-share companies listed on the main board, ChiNext, or STAR Market will receive ST/*ST warnings in the next fiscal year. It evaluates revenue, profit, net assets, and dividend thresholds against regulatory standards, incorporating Sina penalty records as independent evidence. The analysis outputs both risk level and prediction confidence, with data sourced primarily from Tushare and backed up by Akshare when needed.
Use it when
- ashare-pre-st-filter assesses delisting risk by analyzing revenue, profitability, and net asset thresholds specific to each board.
- ashare-pre-st-filter analyzes revenue adequacy, profitability levels, net asset sufficiency, and dividend policy compliance.
Verify before relying
Read SKILL.md below before installing (2 files). Open directory: indexed for reading, not audited.
Install
HKUDS/Vibe-Trading/ashare-pre-st-filter · repository language: Python
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How does ashare-pre-st-filter predict whether an A-share company will receive ST warning?
ashare-pre-st-filter forecasts ST/*ST warnings by evaluating revenue, profit, net assets, and dividend thresholds against regulatory standards for main board, ChiNext, and STAR Market listings. It incorporates Sina penalty records as independent evidence and outputs both risk level and prediction confidence using Tushare data with Akshare backup.
怎么判断股票下一年是否退市 using this tool?
ashare-pre-st-filter assesses delisting risk by analyzing revenue, profitability, and net asset thresholds specific to each board. It also evaluates regulatory penalties and audit opinions as risk escalation factors, monitors trading price against board-specific delisting lines, and examines dividend policy compliance and consecutive loss patterns to determine *ST triggers.
What financial metrics does ashare-pre-st-filter use to identify ST risk?
ashare-pre-st-filter analyzes revenue adequacy, profitability levels, net asset sufficiency, and dividend policy compliance. It also incorporates regulatory penalties from Sina records and audit opinion quality as independent escalation factors. The skill weights ST prediction intent at 35%, delisting risk assessment at 25%, and regulatory/audit evaluation at 20%.
Can ashare-pre-st-filter evaluate *ST risk for ChiNext and STAR Market companies?
Yes, ashare-pre-st-filter covers main board, ChiNext (300-prefix), and STAR Market (688-prefix) listings. It applies board-specific thresholds for revenue, profitability, net assets, and trading price delisting lines. The skill evaluates consecutive loss patterns and dividend compliance as *ST triggers across all three market segments.
What confidence level does ashare-pre-st-filter provide with its predictions?
ashare-pre-st-filter outputs both risk level and prediction confidence for each analysis. The tool prioritizes ST warning prediction (35% weight) and delisting risk assessment (25% weight), with regulatory penalties and audit opinions contributing 20% and dividend/loss patterns contributing 15% to the overall confidence calculation.
Is ashare-pre-st-filter data sourced from reliable financial databases?
ashare-pre-st-filter sources data primarily from Tushare with Akshare as backup, ensuring data reliability. Regulatory penalties are independently verified through Sina records. The skill is licensed under MIT, making it open and transparent for A-share risk assessment and financial due diligence.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
> 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
(truncated - see the full file via the links below)
File tree — 2 files
agent/src/skills/ashare-pre-st-filter/SKILL.md
agent/src/skills/ashare-pre-st-filter/scripts/fetch_sina_penalties.py
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