What makes investoday-hotspot-event-decoding notable?

958 downloads. Trust evidence available

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Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

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agentCLAWHUBUnverified

investoday-hotspot-event-decoding

面向市场热点、主题赛道与行业事件解码，聚焦近期核心事件、逻辑链条、机会风险与后续验证点。基于今日投资金融数据接口，自动提炼主题关键词并输出结构化热点事件解码报告。触发词：热点解码、主题事件、赛道催化、最近有什么重要事件、这波热点意味着什么。 Skill: investoday-hotspot-event-decoding Owner: kenneth-bro Summary: 面向市场热点、主题赛道与行业事件解码，聚焦近期核心事件、逻辑链条、机会风险与后续验证点。基于今日投资金融数据接口，自动提炼主题关键词并输出结构化热点事件解码报告。触发词：热点解码、主题事件、赛道催化、最近有什么重要事件、这波热点意味着什么。 Tags: hotspot-decoding:1.3.0, industry-events:1.3.0, latest:1.3.0, logic-chain:1.3.0, market-themes:1.3.0, opportunity-risk:1.3.0, sector-catalysts:1.3.0, thematic-investing:1.3.0, theme-research:1.3.0 Version history: v1.3.0 | 20

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Rank

Safety

Downloads

958

Updated

Oct 12, 2026

Version

1.3.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 958 downloads reported by the source. Last updated 10/12/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 12, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 12, 2026
Adoption signal: 958 downloadsadoption · observed Oct 12, 2026
Latest release: 1.3.0release · observed Mar 28, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.3.0release
Automated release from GitHub Actions
Observed Mar 28, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s177j0jytadhmffa017fzg5tcs83gmm6:investoday-hotspot-event-decoding

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-kenneth-bro-investoday-hotspot-event-decoding/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

15,541 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: investoday-hotspot-event-decoding
title: "热点事件解码"
version: 1.3.0
description: 面向市场热点、主题赛道与行业事件解码，聚焦近期核心事件、逻辑链条、机会风险与后续验证点。基于今日投资金融数据接口，自动提炼主题关键词并输出结构化热点事件解码报告。触发词：热点解码、主题事件、赛道催化、最近有什么重要事件、这波热点意味着什么。
tags:
  - hotspot-decoding
  - market-themes
  - sector-catalysts
  - thematic-investing
  - industry-events
  - logic-chain
  - opportunity-risk
  - theme-research
metadata:
  clawdbot:
    emoji: "🔥"
    category: "finance"
    requires:
      skills: ["investoday-finance-data"]
---

# 🔥 热点事件解码

面向市场热点、主题赛道与行业事件解码，聚焦近期核心事件、逻辑链条、机会风险与后续验证点。基于今日投资金融数据接口，自动提炼主题关键词并输出结构化热点事件解码报告。

## 触发场景

- 用户询问某个主题、赛道、行业最近发生了什么重要事件
- 用户希望理解“这波热点意味着什么”“对市场有什么影响”“下一步看什么”
- 用户想让你对机器人、低空经济、AI 算力、创新药等主题做热点解码
- 关键词：热点解码、主题事件、赛道催化、最近有什么重要事件、这波热点意味着什么、行业催化

## 输入示例

**示例 1：主题解码**
```
帮我解码一下商业航天这个热点。
```

**示例 2：赛道催化**
```
AI 算力最近有哪些关键事件，这波行情在交易什么？
```

**示例 3：行业影响**
```
人形机器人这波热点到底意味着什么，后面还要看什么？
```

> 💡 本 Skill 面向“主题/赛道/行业”的热点研究，不面向单只股票。若用户只想看某只股票的近期消息，优先使用 `股票消息解读`；若用户更关心卖方共识、机构主线和板块分歧，请优先使用 `板块研报解读`。

## 前置依赖

本 Skill 依赖 `investoday-finance-data`（今日投资金融数据）Skill 获取实时金融数据。

基础 API 调用与底层执行方式统一以该 Skill 为准，业务 Skill 不重复展开底层接入细节。

## 工具说明

以下为本 Skill 通过 `investoday-finance-data` 使用的数据接口。在 System Prompt 中以 `工具ID` 标识调用。

### 主题识别工具

| 工具名称 | 工具ID | 方法 | 说明 |
|---------|--------|------|------|
| 新闻资讯 | `news` | GET | 通过主题关键词获取相关新闻 |
| 研报舆情 | `research/sentiment` | POST | 获取与主题相关的研报观点和逻辑 |

## 数据获取流程

用户提供主题、赛道或行业关键词后，Agent 按以下流程获取数据：

- **Step 1：新闻资讯（近1个月）**：工具ID `news`，参数 `title=<主题关键词> beginTime=<1个月前> endTime=<当前时间> pageNum=1 pageSize=10`
- **Step 2：研报舆情（近2个月）**：工具ID `research/sentiment` (POST)，参数 `title=<主题关键词> beginTime=<2个月前> endTime=<当前时间> pageNum=1 pageSize=3`

> **并行优化**：Step 1-2 可并行调用。正文只展示 2-3 条最核心事件，不要简单堆砌全量新闻或研报。

## 分析框架（4步）

Agent 获取数据后，按以下 4 步框架进行结构化分析：

### Step 1：提炼核心事件主线

**目标**：从新闻与研报中筛选出最关键的 2-3 条事件，建立主题主线。

**数据来源**：`news` + `research/sentiment`

分析要点：
- 优先保留重要新闻、时间更近、逻辑更完整的事件
- 研报用于补充“为什么重要”，而不是重复新闻摘要
- 若同类事件高度重复，保留信息量更高的一条

**输出**：核心事件表与主题主线。

### Step 2：解释逻辑链条

**目标**：把“发生了什么”转化为“为什么重要、通过什么路径影响市场”。

**数据来源**：`news` + `research/sentiment`

分析要点：
- 主题事件通过政策、供需、产业进展、预期变化等哪条路径影响市场
- 当前更偏短期情绪催化还是中期产业趋势信号
- 若事件只是噪音，应明确弱化处理

**输出**：逻辑链条与重要性判断。

### Step 3：判断机会与风险方向

**目标**：识别主题事件带来的受益方向、承压方向与关键风险。

**数据来源**：`news` + `research/sentiment`

分析要点：
- 哪些行业、子方向或风格更可能受益
- 哪些假设若无法兑现，会形成风险反转
- 强调主题层面，不落到具体个股推荐

**输出**：机会方向、风险方向与关注重点。

### Step 4：形成后续观察框架

**目标**：告诉用户接下来应该重点跟踪什么，而不是给具体交易建议。

**数据来源**：前 3 步分析结果汇总

分析要点：
- 未来几天和未来几周各自应看哪些变量
- 哪些信号代表事件影响强化，哪些信号代表逻辑减弱
- 形成结构化跟踪框架

**输出**：后续观察重点与关键验证点。

## 策略逻辑汇总

| 信号组合 | 含义 | 判断 |
|---------|------|------|
| 高频新闻 + 研报同步强化 | 主题热度与逻辑共振 | ✅ 积极 |
| 只有新闻热度、缺少研报验证 | 主题更偏情绪交易 | 🟡 关注 |
| 新闻与研报都强调产业进展 | 中期逻辑较强 | ✅ 积极 |
| 新闻时间较近但内容重复度高 | 热点可能进入噪音阶段 | 📊 中性 |
| 研报观点分歧明显 | 主题认知尚未形成共识 | 🟡 关注 |
| 热点事件偏宏观/政策层面 | 影响路径更偏预期驱动 | 📊 中性 |
| 主题受益方向清晰、风险方向也明确 | 可形成结构化观察框架 | ✅ 积极 |
| 缺乏增量事件且逻辑重复强化 | 需防止主题交易钝化 | ⚠️ 警惕 |

## 输出格式

```markdown
# 🔥 [主题关键词] 热点事件解码报告

> 分析日期：YYYY-MM-DD | 数据来源：今日投资

## 一、事件结论

（用一段话概括这波热点是什么、偏利多还是中性、最值得关注的影响是什

_meta.json

{
  "ownerId": "kn7av1ga5d6nwj03gnd2f7tqn582jszh",
  "slug": "investoday-hotspot-event-decoding",
  "version": "1.3.0",
  "publishedAt": 1774681437672
}

skill-card.md

## Description:

Decodes market hotspot, theme, sector, and industry events by extracting recent core events, logic chains, opportunity and risk directions, and follow-up validation points from Investoday financial data.

This skill is ready for commercial/non-commercial use.

## Publisher:

[kenneth-bro](https://clawhub.ai/user/kenneth-bro)

### License/Terms of Use:

MIT-0

## Use Case:

External users and finance-focused agents use this skill to understand recent theme, sector, or industry catalysts and produce a structured hotspot event decoding report. It is intended for theme-level research and observation, not single-stock news analysis or investment recommendations.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Market-theme analysis may be mistaken for investment advice.

Mitigation: Keep outputs informational, avoid single-stock recommendations, and preserve the risk notice that conclusions do not constitute investment advice.

Risk: Recent market news and research sentiment can become stale or uncertain.

Mitigation: Include the analysis date and only list news or research titles that were actually used in the report.

Risk: The skill depends on the Investoday finance data skill for public market data.

Mitigation: Confirm that the finance data dependency is available and use a more specific workflow for single-stock news or macro-only commentary.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/kenneth-bro/skills/investoday-hotspot-event-decoding)

## Skill Output:

**Output Type(s):** [Text, Markdown, Guidance]

**Output Format:** [Structured Markdown report]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Includes an analysis date, core events, event decoding, opportunity and risk directions, follow-up observation points, cited news or research titles, and a risk notice that the output is informational and not investment advice.]

## Skill Version(s):

1.3.0 (source: frontmatter and server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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