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Lead Generation
作者
qq63523555
· GitHub ↗
· v1.1.0
· MIT-0
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当前安装
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在 OpenClaw 中安装
/install lead-gen-xpoz
功能描述
Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queri...
使用说明 (SKILL.md)
Lead Generation
Find high-intent buyers from live social conversations.
Discovers leads expressing problems your product solves, complaining about competitors, or actively seeking solutions across Twitter, Instagram, and Reddit.
Setup
Run xpoz-setup skill. Verify: mcporter call xpoz.checkAccessKeyStatus
3-Phase Process
Phase 1: Product Research (One-Time)
Ask for product reference (website/GitHub/description). Use web_fetch/web_search to research. Build profile: product info, target audience, pain points, competitors, keywords. Validate with user.
Generate 12-18 queries across:
- Pain point queries — people expressing problems
- Competitor frustration — complaints about alternatives
- Tool/solution seeking — "recommend..."
- Industry discussion — target audience
Save to data/lead-generation/product-profile.json and search-queries.json.
Phase 2: Lead Discovery (Repeatable)
mcporter call xpoz.getTwitterPostsByKeywords query="GENERATED_QUERY" startDate="DATE"
mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll every 5s
mcporter call xpoz.getTwitterUsersByKeywords query="..." # Find people
Repeat for Instagram/Reddit.
Phase 3: Scoring & Output
Score (1-10):
- Explicitly asking for solution: +3
- Complaining about competitor: +2
- Project blocked by pain: +2
- Active in target community: +1
- High engagement (>10 likes/5 comments): +1
- Recent (\x3C48h): +1
- Profile matches ICP: +1
- Selling competing solution: -3
Tiers: 8-10 Hot, 6-7 Warm, 5 Watchlist
Deduplicate via data/lead-generation/sent-leads.json (key: {platform}:{author}:{post_id}).
Output: Username, quote, URL, score, why fit, outreach draft, engagement, timestamp.
Outreach:
"I had the same problem! Ended up using [Product] — it does [capability]. [URL]
(Disclosure: I work with [Product])"
Tips
- Save profile once, reuse daily
- Quality > quantity
- Always disclose affiliations
- Draft only; user reviews/sends
Changelog
v1.1.0 (2026-04-13)
- Added
versionfield - Minor formatting improvements
v1.0.0 (2026-04-11)
- Initial release
安全使用建议
This skill appears to do what it says (query an Xpoz MCP service via a local mcporter binary and save/search results), but there are gaps you should clarify before installing: 1) Confirm the mcporter npm package provenance — inspect its source (npmjs/GitHub) and what it executes, since it will be installed as a binary. 2) Ask the publisher to reconcile metadata: SKILL.md declares a dependency on an xpoz-setup skill, network host (mcp.xpoz.ai), and OAuth credentials, but the registry listing did not. Know where OAuth tokens are stored and who can access them. 3) The included _meta.json ownerId/version do not match the registry metadata — verify the publisher identity and that this is an official package from xpoz.ai. 4) Because the skill scrapes and stores social posts, consider privacy and TOS implications for target platforms and test the skill in a sandboxed environment first. If the publisher provides matching registry metadata, a clear explanation of the xpoz-setup OAuth flow, and a verifiable mcporter package source, the concerns above would be largely resolved.
功能分析
Type: OpenClaw Skill
Name: lead-gen-xpoz
Version: 1.1.0
The skill bundle provides a lead generation workflow using the Xpoz MCP service (mcp.xpoz.ai) via the 'mcporter' tool. It includes instructions for the AI agent to research a product, generate search queries, and score leads found on social media platforms. The behavior is consistent with the stated purpose, and no indicators of malicious intent, data exfiltration, or unauthorized execution were found.
能力标签
能力评估
Purpose & Capability
The name, description, and runtime instructions all describe discovering social posts and scoring leads and legitimately require a network-enabled connector (mcporter) and an xpoz account. Requiring the mcporter binary and an xpoz setup skill is coherent with the stated purpose. However, the registry-level metadata omitted the declared dependency on the xpoz-setup skill, network host (mcp.xpoz.ai), and the OAuth credential mentioned inside SKILL.md, which is an inconsistency worth flagging. Also the included _meta.json ownerId/version differ from registry metadata.
Instruction Scope
SKILL.md explicitly calls external commands (mcporter call ...) that will send query text to the vendor API and instructs use of web_fetch/web_search and saving results to local files (data/lead-generation/...). Those actions are within the declared purpose (product research, querying indexed social posts, saving leads). The instructions do not request arbitrary system files or environment variables beyond the connector and OAuth flow, but they do ask the agent to persist scraped social content locally and to use web_fetch — both are expected for this use case but carry privacy considerations.
Install Mechanism
The install spec is an npm package (mcporter) that installs a binary named mcporter. Installing an npm package is a moderate-risk install mechanism (package code will be written to disk and executed). No download-from-arbitrary-URL or obscure installers are present, but you should verify the mcporter package source and review what it installs and calls.
Credentials
At the platform/registry level no env vars or credentials were declared, but SKILL.md states the skill needs an Xpoz account authenticated via a separate xpoz-setup skill (OAuth 2.1) and lists a network host (mcp.xpoz.ai). The required credential and network access are reasonable for the described functionality, but the inconsistency between SKILL.md and the registry metadata (missing declared credentials/network/skill dependency) is concerning because it obfuscates what credentials/tokens will be requested and where they are stored/transmitted.
Persistence & Privilege
The skill does not request always:true, does not claim to modify other skills, and only writes its own data files under data/lead-generation/. It uses autonomous invocation by default (normal for skills) but does not request elevated persistence 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 lead-gen-xpoz - 安装完成后，直接呼叫该 Skill 的名称或使用
/lead-gen-xpoz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
v1.1.0
v1.1: Added version field and changelog
v1.0.0
Initial release of lead-gen-xpoz — automate social lead generation across Twitter, Instagram, and Reddit.
- Auto-researches your product to create a tailored lead-gen profile and targeted search queries.
- Finds high-intent buyers in live conversations using 1.5B+ indexed posts via Xpoz MCP.
- Scores, ranks, and deduplicates leads; outputs ready-to-personalize outreach drafts.
- Simple setup via xpoz-setup skill and mcporter CLI integration.
元数据
常见问题
Lead Generation 是什么？
Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queri... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 79 次。
如何安装 Lead Generation？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install lead-gen-xpoz」即可一键安装，无需额外配置。
Lead Generation 是免费的吗？
是的，Lead Generation 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Lead Generation 支持哪些平台？
Lead Generation 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 Lead Generation？
由 qq63523555（@qq63523555）开发并维护，当前版本 v1.1.0。
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