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
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 HKUDS/Vibe-Trading --skill corporate-eventsgit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote 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/corporate-events)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/corporate-events"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/corporate-events/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/corporate-events"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/corporate-events.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 | $0.00048 | $0.02933 |
| Opus 5 | $0.00024 | $0.01466 |
| Sonnet 5 | $0.00010 | $0.00587 |
| Haiku 4.5 | $0.00005 | $0.00293 |
Grade A, and why
corporate-events 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 12d 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:
- corporate-events — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
公司事件驱动分析
概述
通过公司层面的重大事件（并购、增减持、股权激励、再融资等）构建事件驱动交易策略。核心逻辑：事件公告包含增量信息，市场消化需要时间，事件前后存在系统性超额收益。
适用场景：
- 并购重组套利（A股借壳/资产注入/吸收合并）
- 大股东/高管增减持的信号提取
- 股权激励的行权价与解锁条件分析
- 定增/配股/可交债的折价套利
- ST/*ST/退市预警的规避与投机
核心概念
并购套利（Merger Arbitrage）
A股并购特色：
| 类型 | 频率 | 超额收益 | 风险 |
|---|---|---|---|
| 借壳上市 | 低(注册制后减少) | 高(30-100%) | 极高(审批失败) |
| 资产注入 | 中 | 中(10-30%) | 高(估值/审批) |
| 吸收合并 | 低 | 低(5-15%) | 低(已达协议) |
| 要约收购 | 低 | 低(3-8%) | 最低 |
价差计算：
并购套利价差 = (要约价 - 当前价) / 当前价
年化收益 = 价差 / 预计完成时间(年)
示例:
A公司要约收购B公司, 要约价25元, B当前股价23.5元
价差 = (25 - 23.5) / 23.5 = 6.38%
预计3个月完成, 年化 = 6.38% × 4 = 25.5%
风险评估:
审批确定性: 已获商务部/证监会预审 → 高确定性
对价方式: 现金 > 股票+现金 > 纯股票 (确定性递减)
交易条件: 是否有MAC条款(重大不利变化)
A股并购套利要点：
- 停牌制度改革后，复牌首日涨跌幅受限（创业板/科创板20%）
- 关注"筹划重大资产重组"公告 → 停牌 → 复牌的节奏
- 审批链：董事会 → 股东大会 → 证监会（每一步都是风险点）
分拆/Spin-off
A股分拆上市条件:
- 上市满3年
- 子公司净利润 ≥ 母公司净利润10%
- 子公司净资产 ≤ 母公司净资产30%
交易策略:
预案公告 → 买入母公司（分拆预期提升估值）
子公司上市 → 择机卖出母公司（利好兑现）
实例:
2023年某科技公司分拆子公司至科创板
预案公告后母公司20日涨幅18%
子公司上市首日后母公司回调8%
大股东增减持信号
增持信号（看多）：
| 信号强度 | 条件 | 超额收益(20日) |
|---|---|---|
| 强 | 控股股东增持 > 总股本1% | +8~12% |
| 中 | 高管集体增持(≥3人) | +5~8% |
| 弱 | 单一董事/监事增持 | +2~4% |
减持信号（看空）：
| 信号强度 | 条件 | 超额收益(20日) |
|---|---|---|
| 强 | 控股股东计划减持 > 总股本2% | -5~10% |
| 中 | 解禁后首次减持 | -3~6% |
| 弱 | 高管离职减持 | -2~4% |
关键窗口期:
- 公告前6个月: 内幕交易高发区，异常放量可能是先知资金
- 公告后3日: 信息冲击最大
- 公告后20日: 超额收益基本消化
过滤规则:
排除: 被动减持(质押平仓)、大宗交易折价减持(可能是换手不是看空)
保留: 竞价减持(真正看空)、增持后短期再减持(反向信号)
股权激励解读
关键要素:
1. 行权价/授予价: 相对当前股价的折价率
折价 > 50% → 激励力度大但可能摊薄严重
折价 < 20% → 管理层对股价有信心
2. 解锁条件: 业绩目标是否有挑战性
例: "未来3年净利润复合增长率≥20%"
vs 行业平均增长率10% → 条件较高 → 正面信号
3. 激励对象: 核心技术人员占比
核心技术人员 > 50% → 绑定核心人才 → 正面
纯管理层 → 可能是利益输送
4. 股份来源:
定向增发 → 摊薄每股收益
回购 → 不摊薄，更正面
5. 等待期/解锁期:
等待期1年+解锁期3年 → 标准方案
等待期短+解锁条件低 → 利益输送嫌疑
A股实证:
激励方案公告后60日平均超额收益: +6.2%
解锁条件超预期的: +10.5%
行权价接近当前价的: +8.3%
首次推出激励 > 再次推出: 超额收益更高
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.
- 12d ago First seen · 269 lines · 48 tokens per session scan A 09b8570c6663
corporate-events is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 2,933 once invoked, about $0.0002 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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