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Outbound Prospecting Workflow
作者
strouddustinn-bot
· GitHub ↗
· v1.0.0
1082
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当前安装
1
版本数
在 OpenClaw 中安装
/install outbound-prospecting
功能描述
Provides a structured workflow to research a target company, identify decision-makers, and draft personalized outreach emails using company-specific insights.
安全使用建议
This skill appears coherent and limited to researching companies and drafting emails for review. Before installing, confirm: (1) your agent's web_search/web_fetch tools are configured and you understand whether they send data to external services or require credentials; (2) you are comfortable with the privacy and Terms of Service implications of scraping LinkedIn and other public sites in your jurisdiction; (3) the agent is configured so it will not send outreach automatically — human review is needed; and (4) if the platform supplies a MEMORY.md or 'Overseer Baseline', review it to ensure no unexpected data access is implied. If any of those points are unclear, ask the skill author for clarification before use.
功能分析
Type: OpenClaw Skill
Name: outbound-prospecting
Version: 1.0.0
The skill bundle defines a workflow for 'Outbound Prospecting' using `web_search` and `web_fetch` to gather public company information and identify potential leads. The `SKILL.md` instructions are clear, task-oriented, and explicitly state that the agent should *not* send the drafted email, indicating a lack of intent for unauthorized external communication. No malicious prompt injection, data exfiltration, or unauthorized execution is observed across the provided files.
能力评估
Purpose & Capability
Name and description match the runtime instructions: research a company, find decision-makers, and draft a personalized outreach email. The skill does not request unrelated credentials, binaries, or installs that would be out of scope for outbound prospecting.
Instruction Scope
Instructions are narrowly scoped to web_search and web_fetch of company pages and public LinkedIn searches, then drafting an email for human review. The SKILL.md references an external 'Overseer Baseline' (MEMORY.md) that is not included — this is a bookkeeping note rather than a direct instruction to access unrelated files. Also note: the skill's suggested LinkedIn scraping and extraction could expose personal data and may conflict with third-party Terms of Service or privacy rules; the skill does explicitly say the agent must not send the email itself.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing will be written to disk or fetched during install.
Credentials
No environment variables, credentials, or config paths are requested. One caveat: the instructions assume the agent has web_search/web_fetch tools available — if those tools are backed by external services that require credentials, those credentials are not declared here and should be validated by the user/environment.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modifications to other skills' configs. The skill allows model invocation (platform default), which is expected for this kind of helper and does not on its own raise concerns.
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 outbound-prospecting - 安装完成后，直接呼叫该 Skill 的名称或使用
/outbound-prospecting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 of the three-step prospecting skill (Research, Identify, Draft).
元数据
常见问题
Outbound Prospecting Workflow 是什么？
Provides a structured workflow to research a target company, identify decision-makers, and draft personalized outreach emails using company-specific insights. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1082 次。
如何安装 Outbound Prospecting Workflow？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install outbound-prospecting」即可一键安装，无需额外配置。
Outbound Prospecting Workflow 是免费的吗？
是的，Outbound Prospecting Workflow 完全免费（开源免费），可自由下载、安装和使用。
Outbound Prospecting Workflow 支持哪些平台？
Outbound Prospecting Workflow 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 Outbound Prospecting Workflow？
由 strouddustinn-bot（@strouddustinn-bot）开发并维护，当前版本 v1.0.0。
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