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ashare-pre-st-filter

A 股 ST/*ST 风险预测框架 — 基于最新中报/三季报或业绩预告/快报,预测下一财年是否会因营收、利润、净资产、分红不达标而被风险警示,并将新浪监管处罚记录作为独立证据面纳入风险等级。仅适用于 A 股,不预测财务造假。

65

Quality

80%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./agent/src/skills/ashare-pre-st-filter/SKILL.md
SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

High-risk category: runtime-fetched public web content (新浪财经处罚网页 HTML) is retrieved by `scripts/fetch_sina_penalties.py`, parsed into text fields (`title/reason/content`) and then provided to the agent/LLM (via subprocess stdout → `json.loads(result.stdout)`), enabling indirect prompt injection through attacker-controlled page text.

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Repository
HKUDS/Vibe-Trading
Audited
Security analysis
Snyk

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