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市场洞察师

作者 Ouyang198000 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
101
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0
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1
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1
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在 OpenClaw 中安装
/install market-insight-agent
功能描述
全球网络文学市场洞察智能体。当需要分析网文市场趋势、调研平台政策、竞品数据监控、选题数据支撑时触发本技能。用于: (1) 分析Amazon KDP/起点/番茄/晋江等平台的网文市场机会 (2) 追踪各平台政策变化和算法偏好 (3) 监控竞品小说数据(阅读量/完读率/收入估算) (4) 生成市场分析报告为选题策划提...
安全使用建议
This skill is coherent with its stated purpose and contains only local, reviewable code, but it's incomplete: crawlers are TODO stubs. Practical operation will likely require you to provide platform credentials, cookies, or proxies (and possibly API keys) via the referenced config/platforms.yaml or other means — those secrets would be stored on your system, so review how and where you store them. Before enabling: (1) inspect config/platforms.yaml and any place you would put credentials; (2) run the script in a sandboxed environment with restricted network access while you test; (3) confirm crawling respects robots.txt and platform ToS; (4) consider limiting autonomous invocation or granting the skill only when needed. If you need higher assurance, request the author to declare required env vars and provide a fully implemented, auditable crawler implementation.
功能分析
Type: OpenClaw Skill Name: market-insight-agent Version: 1.0.0 The market-insight-agent is a legitimate tool designed for monitoring and analyzing global web novel market trends across platforms like Amazon KDP and Qidian. The SKILL.md provides clear, professional instructions for market analysis, while the data_collector.py script is a benign skeleton for web scraping that lacks any malicious execution, data exfiltration, or obfuscation logic.
能力评估
Purpose & Capability
Name/description, platform guide, and data_collector.py align: all focus on scraping public platform rankings and producing reports. No unrelated credentials, binaries, or installers are requested.
Instruction Scope
SKILL.md instructs only to collect public data, obey robots.txt, and avoid PI—this stays within scope. It references storing data under data/raw, data/reports and a config file config/platforms.yaml (platform accounts/API config). The script files currently contain TODOs and do not implement hidden exfiltration. Note: SKILL.md and script expect platform account/API config (and possibly cookies/proxies) even though the skill does not declare any required credentials; that is an operational gap rather than explicit malicious behavior.
Install Mechanism
No install spec; the skill is instruction-only plus a small local Python script. Nothing is downloaded or executed from remote URLs. Lowest-risk install posture.
Credentials
The skill declares no required environment variables, which is consistent with included files. However SKILL.md references config/platforms.yaml for platform accounts/API configuration and the platform guide mentions author dashboards and APIs that may require cookies, API keys, or proxies. Expect the operator to supply credentials or proxies outside the declared requirements—store them securely and review config files before enabling.
Persistence & Privilege
always:false and no system-wide changes are requested. The skill writes data to local data/ directories (normal for a collector). It does not request to modify other skills or force inclusion.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install market-insight-agent
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /market-insight-agent 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
初始版本:支持Amazon KDP/番茄/起点/晋江等平台的榜单数据采集和市场趋势分析
元数据
Slug market-insight-agent
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

市场洞察师 是什么?

全球网络文学市场洞察智能体。当需要分析网文市场趋势、调研平台政策、竞品数据监控、选题数据支撑时触发本技能。用于: (1) 分析Amazon KDP/起点/番茄/晋江等平台的网文市场机会 (2) 追踪各平台政策变化和算法偏好 (3) 监控竞品小说数据(阅读量/完读率/收入估算) (4) 生成市场分析报告为选题策划提... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 101 次。

如何安装 市场洞察师?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install market-insight-agent」即可一键安装,无需额外配置。

市场洞察师 是免费的吗?

是的,市场洞察师 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

市场洞察师 支持哪些平台?

市场洞察师 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 市场洞察师?

由 Ouyang198000(@ouyang198000)开发并维护,当前版本 v1.0.0。

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