ai-market-report

AI 陪伴软件市场调研日报全自动生成。适用场景： - 用户说「生成AI陪伴软件类产品市场调研报告」「做一份 AI 陪伴软件日报」 - 用户说「调研 AI companion 市场」「生成 XX 产品的调研报告」 - 用户说「生成AI陪伴市场报告」且涉及 App Store 数据、MAU、营收、估值 - 用户要求「...

Security Scan

The skill's stated purpose (automated AI-companion market reports) matches the included code and docs, but the runtime instructions rely on other skills and undeclared binaries/dependencies which is inconsistent and worth caution.

Purpose & Capability

Name/description align with the files: it collects App Store + news data and renders Markdown→HTML/PDF. However the SKILL.md and references expect external search tooling (a 'tavily-search' skill) and network calls; those capabilities are plausible for this purpose but are not declared in the skill's metadata (no required binaries or dependencies listed).

Instruction Scope

SKILL.md explicitly instructs the agent to read and invoke another skill's files (/root/.openclaw/workspace/skills/tavily-search/SKILL.md and node scripts) and run curl commands against external APIs. That means the skill expects access to other skill directories and to execute arbitrary node scripts — broader scope than a self-contained report generator. The instructions also require generating and reading files under the workspace; they do not ask for secrets, but permit executing external search code.

Install Mechanism

There is no install spec (instruction-only + included Python script), which is low-risk in general. But the included generate_report.py imports WeasyPrint and the documentation mentions Node, curl, and WeasyPrint—none of which are declared in registry metadata. The absence of an install/dependency declaration is inconsistent and could lead to missing runtime requirements or unexpected behavior.

Credentials

The skill does not request environment variables, credentials, or config paths. It reads files under the workspace and uses public web APIs (iTunes) and other skill scripts; these are appropriate for the stated data-collection purpose and no secrets are requested.

Persistence & Privilege

always is false and the skill does not request persistent/privileged presence or modify other skills' configuration. It does instruct reading other skills' files and executing their scripts, which is normal for modular tooling but increases the operational blast radius if those other skills are untrusted.

What to consider before installing

This skill appears to do what it says (collect App Store + news data and build PDF reports), but be aware of two issues before installing: (1) undeclared runtime requirements — the script and docs expect Python3+WeasyPrint, curl, and Node; the skill metadata lists none. Ensure those binaries and libraries are present and from trusted sources. (2) cross-skill execution — the instructions tell the agent to read and run scripts from /root/.openclaw/workspace/skills/tavily-search; verify that the referenced 'tavily-search' skill exists and inspect its code (and any node scripts it runs) before allowing execution, since this skill will invoke them and they may perform arbitrary web requests or processing. Recommended actions: review the full generate_report.py (untruncated), inspect the tavily-search skill code, confirm WeasyPrint/node/curl availability, and run the script in a sandboxed environment or with network monitoring the first time.

AI 陪伴软件市场调研日报

任务概述

全自动调研全球 AI 陪伴类软件头部产品的核心数据，生成五章结构 Markdown + 精美 HTML/PDF 报告。

输出路径：/root/.openclaw/workspace/myfiles/daily_report_data/files/

• AI陪伴软件调研日报_YYYYMMDDHHMMSS.md — 原始数据文档
• AI_Report_YYYYMMDDHHMMSS.html — HTML 报告
• AI_Report_YYYYMMDDHHMMSS.pdf — PDF 报告

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第一步：数据采集

读取 references/data_collection.md，严格按其中步骤执行。

核心数据源：

• App Store 评分/评价数：iTunes Search API（直接验证，★★★）
• MAU/营收/估值：Tavily 深度搜索 2025-2026 年报道（★★）
• 数据原则：能搜到填真实数字并注明来源；搜不到填「未公开」，禁止编造

---

第二步：生成 Markdown 文档

生成的 Markdown 必须包含以下六个章节：

### 1.1 App Store 核心数据
| 产品 | 评分 | 评价数 | 分类 | 产品定位 |

### 1.2 产品运营数据
| 产品 | MAU | 营收/ARR | 估值/融资 | 日均时长 | 最新动态 |

### 1.3 市场规模背景
| 指标 | 数据 | 来源 |

### 3.1 全球市场格局
| 区域 | 主导产品 | 关键特征 |

### 4.3 市场机会
1. **机会点标题**：机会点描述
...

### 4.4 市场风险
1. **风险点标题**：风险点描述
...

### 5.1 产品策略建议
- 策略建议...

### 5.3 用户画像
| 画像 | 特征 | 方向 |

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第三步：渲染 HTML/PDF 报告

直接调用生成脚本：

SKILL_DIR="/root/.openclaw/workspace/skills/ai-market-report"
TS=$(date +%Y%m%d%H%M%S)
MD="/root/.openclaw/workspace/myfiles/daily_report_data/files/AI陪伴软件调研日报_${TS}.md"
OUT="/root/.openclaw/workspace/myfiles/daily_report_data/files"

python3 "${SKILL_DIR}/scripts/generate_report.py" "$MD" "$OUT" "$TS"

脚本自动完成：

1. 解析 Markdown 中所有表格和结构化数据
2. 注入市场规模、MAU、下载量、营收、估值到 HTML
3. 生成 6 页精美报告（封面 → 核心数据 → 产品分析 → 中国市场 → 市场格局 → 策略建议 → 结尾）
4. WeasyPrint 渲染 A4 landscape PDF

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第四步：复制到工作区（方便查看）

TS=$(date +%Y%m%d%H%M%S)
OUT="/root/.openclaw/workspace/myfiles/daily_report_data/files"
cp "${OUT}/AI_Report_${TS}.html" /root/.openclaw/workspace/
cp "${OUT}/AI_Report_${TS}.pdf"  /root/.openclaw/workspace/

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报告章节说明

章节	内容
封面	报告日期、产品数量、数据来源
第一章	市场规模 2025/2026、CAGR、Character.AI 访问/下载、App Store 评分表、运营数据表
第二章	6 款头部产品深度卡片（Character.AI、Replika、PolyBuzz、Chai、Nomi、Talkie）
第三章	中国市场：豆包 120M、猫箱、星野、海螺AI、小冰；全球区域格局；近期动态
第四章	全球市场格局、关键数据变化、市场机会 5 条、风险提示 4 条
第五章	产品策略建议、用户画像、优先市场（欧美/东南亚/中东南美）、推广策略