What makes gh-industry-deep-analysis notable?

1K downloads. Trust evidence available

How should gh-industry-deep-analysis be evaluated before use?

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

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

gh-industry-deep-analysis

行业深度分析框架 1.1.2 - 对行业/板块进行十维深度分析 Skill: gh-industry-deep-analysis Owner: ghgh2026 Summary: 行业深度分析框架 1.1.2 - 对行业/板块进行十维深度分析 Tags: latest:1.1.5 Version history: v1.1.5 | 2026-07-06T01:01:34.829Z | user - skill-card.md 文件移除，去除冗余文档 - 数据源和工具优先级梳理，核心维度仅保留 mx-search、mx-data 相关内容 - 综合各维度的核心内容和数据来源，更精简统一 - 行业分析的政策和风险部分信息结构微调 - 版本号更新，文档内容略有调整 v1.1.3 | 2026-04-26T09:47:49.389Z | user No file changes detected between versions. - No updates or modifications were

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.1.5

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

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 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.1.5release · observed Jul 6, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17ag1d5wbnvxkqk5nrpdfex6985096w:gh-industry-deep-analysis

Node.js workspace detected. Install dependencies securely: run `npm ci --ignore-scripts` to prevent post-install lifecycle triggers from running arbitrary code, then selectively audit the dependency tree.
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-ghgh2026-gh-industry-deep-analysis/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

52,716 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "gh-industry-deep-analysis"
description: "行业深度分析框架 1.1.2 - 对行业/板块进行十维深度分析"
version: "1.1.3"
author: "投资助手"
triggers:
  - "行业"
  - "板块"
  - "产业链"
  - "赛道"
  - "行业分析"
  - "深度分析"
examples:
  - "光模块行业"
  - "半导体"
  - "分析一下光伏行业"
  - "固态电池产业链"
---

# gh-industry-deep-analysis - 行业深度分析框架 1.1

**版本：** 1.1.3  
**作者：** 投资助手  
**创建日期：** 2026-04-18  
**更新日期：** 2026-05-07  
**描述：** 基于最新数据和资讯，对行业进行全面深入分析，重点聚焦市场前景、产业链拆解、成本结构、核心公司四大核心维度

---

## 🎯 触发条件

当用户发送以下内容时，自动触发此 skill：

| 触发类型 | 示例 |
|----------|------|
| **行业名称** | "光模块行业"、"半导体行业"、"新能源汽车" |
| **行业 + 分析** | "分析一下光伏行业"、"CXO 行业深度分析" |
| **产业链查询** | "人形机器人产业链"、"AI 芯片产业链" |

**触发关键词：**
- 行业名称 + 分析/深度/研究
- 产业链 + 行业名称
- 赛道/板块 + 分析

---

## 📊 十维行业分析框架（全维度深度分析）

### 默认分析深度：深度分析 ⭐️⭐️⭐️

| 分析深度 | 输出长度 | 适用场景 |
|----------|----------|----------|
| **深度分析** | 10000-20000 字 | 首次覆盖、重点行业、投资决策 |
| 快速分析 | 3000-5000 字 | 日常跟踪、简单查询 |

### 十维全部深度展开（无简化章节）

| 维度 | 权重 | 优先级 | 核心内容 | 数据源 |
|------|------|--------|----------|--------|
| 1️⃣ **行业概览** | 10% | P0 | 定义、分类、市场规模、增速 | mx-search |
| 2️⃣ **业务内容** | 12% | P0 | 主要产品/服务、商业模式、盈利模式 | mx-search |
| 3️⃣ **发展阶段** | 10% | P0 | 导入期/成长期/成熟期/衰退期判断 | mx-search |
| 4️⃣ **市场前景** | 12% | P0 | 市场空间、增速预测、驱动因素、细分市场 | mx-search |
| 5️⃣ **产业链拆解** | 15% | P0 | 上游/中游/下游、核心环节、价值分布、壁垒分析 | mx-search |
| 6️⃣ **成本结构** | 12% | P0 | 核心部件成本占比、毛利率分析、成本趋势 | mx-search + 年报 |
| 7️⃣ **竞争格局** | 10% | P0 | CR5/CR10、市场份额、竞争态势 | mx-search |
| 8️⃣ **核心公司** | 8% | P0 | 龙头公司深度分析、技术优势、市占率、财务对比 | mx-data + mx-search |
| 9️⃣ **政策环境** | 6% | P0 | 支持/限制政策、监管趋势 | mx-search |
| 🔟 **风险与机遇** | 5% | P0 | 主要风险、投资机会 | mx-search |
| **综合** | **100%** | - | - | - |

---

## 🛠️ 工具调用规范

### 必用工具（P0 优先级）

| 工具 | 用途 | 时效性要求 | 调用说明 |
|------|------|------------|----------|
| **mx-search** | 最新新闻、公告、研报 | **15 天内优先，核心数据 7 天内** | 获取行业最新动态、机构观点，覆盖研报/公告/政策/行业格局 |

### 辅助工具（P1 优先级）

| 工具 | 用途 | 时效性要求 |
|------|------|------------|
| **mx-data** | 行业内上市公司财务数据、行情 | 实时 |
| **mx-xuangu** | 行业成分股查询、股票池筛选、板块资金流向 | 实时 |
| **妙想资讯** | 行业数据、产业链信息 | 30 天内 |

### 数据交叉验证原则

```
重要数据必须至少 2 个独立来源验证：
├── 市场规模 → 多份研报交叉 + 行业协会数据
├── 成本占比 → 招股书 + 年报 + 调研纪要
├── 市占率 → 多份研报 + 行业协会 + 公司官网
├── 政策文件 → 政府官网 + 官方媒体
├── 技术趋势 → 专利数据 + 专家访谈 + 研报
└── 成分股数据 → mx-xuangu + 多份研报交叉
```

---

## 📋 标准输出模板

```markdown
# 📊 [行业名称] 深度分析报告

**报告日期：** YYYY-MM-DD  
**数据截止时间：** YYYY-MM-DD  
**风险评级：** 🔥 激进型 / ⚠️ 稳健型 / 🛡️ 保守型 
**行业评级：** ⭐️⭐️⭐️⭐️⭐️ 强烈推荐 / ⭐️⭐️⭐️⭐️ 推荐 / ⭐️⭐️⭐️ 中性 / ⭐️⭐️ 谨慎 / ⭐️ 回避

---

## 🎯 核心数据速览

| 指标 | 数值 | 说明 |
|------|------|------|
| **市场规模 (2026E)** | XXXX 亿元 | 同比 +XX% |
| **预计增速 (2026-2030)** | CAGR XX% | - |
| **发展阶段** | 成长期/成熟期 | - |
| **CR5 集中度** | XX% | 行业集中度 [高/中/低] |
| **平均毛利率** | XX% | 行业平均 |
| **核心驱动因素** | 因素 A、因素 B、因素 C | - |

---

## 一、行业概览 ⭐️⭐️⭐️

### 行业定义与分类

| 分类维度 | 细分领域 | 说明 |
|----------|----------|------|
| 按产品 | 细分 A、细分 B、细分 C | - |
| 按应用 | 应用 A、应用 B、应用 C | - |
| 按技术 | 技术 A、技术 B、技术 C | - |

### 市场规模与增速

| 年份 | 市场规模 (亿元) | 同比增速 | 阶段 |
|------|----------------|----------|------|
| 2024 | XXXX | +XX% | - |
| 2025 | XXXX | +XX%

README.md

# gh-industry-deep-analysis - 行业深度分析框架

**版本：** 1.1.0  
**作者：** 投资助手  
**Slughub:** gh-industry-deep-analysis  
**Display Name:** 行业深度分析框架  
**描述：** 基于最新数据和资讯，对行业进行全面深入分析（十维全维度深度分析，10000-20000 字）

## 核心特性

- ✅ 十维全维度深度分析
- ✅ 市场前景深度预测
- ✅ 产业链全景拆解
- ✅ 成本结构详细分析
- ✅ 核心公司深度研究
- ✅ 输出长度 10000-20000 字

## 使用方式

直接发送行业名称或分析请求：
- "光模块行业"
- "分析一下半导体行业"
- "新能源汽车产业链"

## 标签

行业分析，深度研究，产业链，成本结构，投资框架

_meta.json

{
  "ownerId": "kn7e1k268dhjmdb34a08hwmfwh850x5r",
  "slug": "gh-industry-deep-analysis",
  "version": "1.1.5",
  "publishedAt": 1783299694829
}

skill-card.md

## Description:

行业深度分析框架 1.1.2 - 对行业/板块进行十维深度分析

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

## Publisher:

[ghgh2026](https://clawhub.ai/user/ghgh2026)

### License/Terms of Use:

MIT-0

## Use Case:

External users can use this skill to generate structured, source-aware industry and sector analysis reports covering market outlook, industry chain structure, cost structure, competition, core companies, policy environment, and risks.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Generated reports may be archived locally, published to Lark/Feishu Wiki, and announced to a hard-coded group without clear user approval.

Mitigation: Require explicit user approval before export, publication, or notification, and make storage and sharing behavior opt-in and documented.

Risk: Industry reports may contain financial analysis and investment-oriented conclusions that depend on timely, source-verified data.

Mitigation: Review generated analysis before use, verify cited data against current authoritative sources, and keep the skill's investment-risk disclaimer visible.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/ghgh2026/skills/gh-industry-deep-analysis)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, configuration, guidance]

**Output Format:** [Long-form Markdown industry analysis report with tables and command snippets]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Default report length is 10000-20000 Chinese characters or words as specified by the skill; generated reports may include local archive, Lark/Feishu Wiki publication, and group notification steps.]

## Skill Version(s):

1.1.5 (source: server release metadata; artifact frontmatter lists 1.1.3 and package.json lists 1.1.0)

## 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.

package.json

{
  "slug": "gh-industry-deep-analysis",
  "displayName": "行业深度分析框架",
  "description": "基于最新数据和资讯，对行业进行全面深入分析（十维全维度深度分析，10000-20000 字）",
  "version": "1.1.0",
  "author": "投资助手",
  "keywords": ["行业分析", "深度研究", "产业链", "成本结构", "投资框架"],
  "category": "analysis",
  "license": "MIT",
  "main": "SKILL.md",
  "files": [
    "SKILL.md",
    "README.md"
  ]
}

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