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Market Research Reports
作者
YumoeZhung
· GitHub ↗
· v1.0.0
524
总下载
1
收藏
8
当前安装
1
版本数
在 OpenClaw 中安装
/install market-research-reports
功能描述
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatt...
安全使用建议
This skill looks like a legitimate market-report generator but it relies on external tools and assets that are not bundled or declared. Before installing or invoking it:
- Confirm that the referenced tools (scientific-schematics, generate-image, research-lookup) exist in your agent environment and are trusted; otherwise the agent may fail or try to execute unexpected system commands.
- Check for the missing LaTeX style package (market_research.sty) and other required files—without them the output will be incomplete.
- Review scripts/generate_market_visuals.py line-by-line (it spawns subprocesses); ensure it does not run shell=True with untrusted input or call unknown network endpoints.
- If the skill will fetch external market data, determine what credentials or API endpoints it uses and avoid supplying high-privilege credentials (AWS keys, org-wide tokens) unless you verify them.
- Run the skill in a sandboxed environment first (isolated container or VM) and monitor network activity and file writes.
If you can validate the external dependencies and the generate script's behavior, the skill is usable; if not, treat it as untrusted and avoid running it with sensitive credentials or on production agents.
功能分析
Type: OpenClaw Skill
Name: market-research-reports
Version: 1.0.0
The market-research-reports skill bundle is a comprehensive toolset designed to help an AI agent generate professional-grade consulting reports. It includes a Python utility script (scripts/generate_market_visuals.py) for batch-generating diagrams and extensive documentation (SKILL.md and the references/ directory) providing structured frameworks for market analysis and LaTeX formatting. The bundle leverages other internal OpenClaw tools like scientific-schematics and research-lookup through standard subprocess calls and guided prompts, with no evidence of data exfiltration, malicious execution, or prompt injection attacks.
能力评估
Purpose & Capability
Name/description (professional market reports + heavy visuals) match the included assets (templates, visual prompts, generator script). However the SKILL.md repeatedly instructs the agent to call other skills/tools (scientific-schematics, generate-image, research-lookup) and expects a LaTeX style package (market_research.sty) that are not included or declared in the skill metadata. That makes the claimed end-to-end capability incomplete/unproven on its own.
Instruction Scope
Runtime instructions tell the agent to run many external python commands (e.g., skills/scientific-schematics/scripts/generate_schematic.py and skills/generate-image/scripts/generate_image.py), produce a large number of visuals, and to 'deep integrat[e] with research-lookup' for data gathering. Those referenced tools/paths are outside the skill bundle and no guidance is provided about required credentials, endpoints, or where data should come from. The skill grants the agent permission to run Bash and file Read/Write/Edit, so if executed it could attempt broad system activity trying to satisfy these instructions.
Install Mechanism
No install spec (instruction-only) — low direct install risk. There is one bundled script (generate_market_visuals.py) which calls external tools via subprocess. Because the skill assumes the presence of other skills/tools, it may fail or try to invoke arbitrary system commands in attempts to run missing programs.
Credentials
The skill requests no environment variables or credentials in metadata (good), yet the instructions mention deep integration with 'research-lookup' (likely requiring API access or credentials) and LaTeX compilation (may invoke xelatex/bibtex). The lack of declared env vars or dependency declarations is an informational gap: the skill could prompt the agent to use credentials or services that are not declared here.
Persistence & Privilege
always:false and no install hooks or persistent privilege requests. The skill does allow Bash and file operations while running, which is normal for an instruction-driven generator, but not combined with any forced always-on privilege.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install market-research-reports - 安装完成后，直接呼叫该 Skill 的名称或使用
/market-research-reports触发 - 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
- Initial release: Generate comprehensive, 50+ page market research reports styled after leading consulting firms.
- Professional LaTeX formatting with consulting-firm typography, color, and layout.
- Deep integration with research-lookup for robust, data-driven analysis.
- Visual-rich output: 6 essential visuals (TAM/SAM/SOM, Porter's Five Forces, etc.) generated at the start, more as needed.
- Covers multiple strategic frameworks: Porter's Five Forces, PESTLE, SWOT, BCG Matrix, TAM/SAM/SOM.
- Designed for purposes such as investment analysis, market sizing, due diligence, go-to-market planning, and industry research.
元数据
常见问题
Market Research Reports 是什么？
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatt... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 524 次。
如何安装 Market Research Reports？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install market-research-reports」即可一键安装，无需额外配置。
Market Research Reports 是免费的吗？
是的，Market Research Reports 完全免费（开源免费），可自由下载、安装和使用。
Market Research Reports 支持哪些平台？
Market Research Reports 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 Market Research Reports？
由 YumoeZhung（@yumoezhung）开发并维护，当前版本 v1.0.0。
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