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在 OpenClaw 中安装
/install solo-research
功能描述
Deep market research — competitor analysis, user pain points, SEO/ASO keywords, naming/domain availability, and TAM/SAM/SOM sizing. Use when user says "resea...
安全使用建议
This skill appears to do what it claims, but before installing consider: (1) it performs many web fetches and browser automation (including instructions to use old.reddit.com to avoid CAPTCHAs) — ensure you are comfortable with automated scraping and the target sites' terms of service and rate limits; (2) it runs domain checks via whois/dig and makes curl requests (your agent must have network access and the relevant CLI tools available); (3) it references optional installs (e.g., PRAW) and internal MCP project/code search tools — if you grant the agent access to private project data, the skill can read that data, so scope those permissions carefully; (4) no credentials are requested, which is good, but watch for future edits that might add API keys or other sensitive requirements. If you need tighter control, restrict the skill's web/network access or run research jobs in a sandboxed environment.
功能分析
Type: OpenClaw Skill
Name: solo-research
Version: 1.7.1
The skill is classified as suspicious due to its extensive use of powerful tools, particularly `Bash`, `WebSearch`, `WebFetch`, and `Playwright` (browser automation), which provide broad system and network access. While the instructions in `SKILL.md` and `references/domain-check.md` are aligned with the stated purpose of market research (e.g., using `curl` for API calls, `whois`/`dig` for domain checks, `pip install` for a legitimate library), these capabilities present a significant attack surface. An attacker could potentially exploit these tools via prompt injection against the AI agent to execute arbitrary commands, exfiltrate data, or perform other unauthorized actions, even though the skill itself does not demonstrate malicious intent.
能力评估
Purpose & Capability
Name/description (deep market research) match the instructions: web searches, reddit/youtube hunting, competitor discovery, domain/whois checks, and market sizing. The allowed tools (WebSearch/WebFetch/Playwright/Bash/etc.) are appropriate for the stated purpose.
Instruction Scope
Instructions require extensive web scraping and use of browser automation to read full Reddit posts (old.reddit.com via Playwright), whois/dig/RDAP checks, PullPush API examples, and optional pip usage (PRAW). This stays within research scope but explicitly recommends bypassing captcha-prone endpoints and making automated requests; that has operational/ethical implications (rate limits, site TOS) and could fetch private project data if MCP project/code tools are available.
Install Mechanism
Instruction-only skill with no install spec or archived downloads. No code files to execute; risk from installation mechanism is minimal.
Credentials
The skill declares no required environment variables or credentials. It references external services/APIs (PullPush, RDAP, trustmrr, etc.) but does not request secret keys; this is proportionate to the research task.
Persistence & Privilege
always is false and the skill does not request persistent system-wide changes or cross-skill configuration. Autonomous invocation is allowed (platform default) but not combined with elevated privileges.
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 solo-research - 安装完成后,直接呼叫该 Skill 的名称或使用
/solo-research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
v1.7.1
Universalize: remove project-specific references, add SearXNG recommendation
v1.7.0
Initial ClawHub release — deep market research for solopreneurs
元数据
常见问题
Research 是什么?
Deep market research — competitor analysis, user pain points, SEO/ASO keywords, naming/domain availability, and TAM/SAM/SOM sizing. Use when user says "resea... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1191 次。
如何安装 Research?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install solo-research」即可一键安装,无需额外配置。
Research 是免费的吗?
是的,Research 完全免费(开源免费),可自由下载、安装和使用。
Research 支持哪些平台?
Research 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 Research?
由 Rust(@fortunto2)开发并维护,当前版本 v1.7.1。
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