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在 OpenClaw 中安装
/install pans-upsell-radar
功能描述
AI算力销售增购机会雷达。识别GPU利用率、团队扩张、新模型发布等增购信号。 支持机会评分、扩容方案生成、最佳时机预测。 触发词：增购机会, 扩容信号, upsell, 交叉销售, 客户增长
安全使用建议
This skill appears coherent and local: it reads/writes JSON customer and signal files and produces reports. Before installing, review the customer JSON to ensure you are comfortable storing customer data under ~/.qclaw/skills/pans-upsell-radar/data. There are no network calls or credential requests in the provided code, but if you plan to run it in a multi-user or production environment, run it in a sandbox first and inspect the full upsell.py to confirm there are no later additions that perform network I/O. If you need to integrate with live telemetry, be deliberate about what external data sources and credentials you add.
功能分析
Type: OpenClaw Skill
Name: pans-upsell-radar
Version: 1.0.0
The skill is a sales lead analysis tool for AI compute resources that operates entirely on local data. It lacks network capabilities, shell execution, or access to sensitive system files, and its logic is strictly limited to processing the provided JSON datasets in scripts/upsell.py.
能力评估
Purpose & Capability
Name/description (upsell radar for GPU capacity) align with the included files: a Python script plus customer and signal JSON data. There are no unexpected credentials, binaries, or external services required.
Instruction Scope
SKILL.md instructs running the local Python CLI and references local data files under ~/.qclaw/... The runtime instructions and script operate only on those local JSON files. Note: the skill stores customer, signal, and opportunities data under the user's home (~/.qclaw/skills/pans-upsell-radar/data), so it will create/modify local files containing customer and signal information.
Install Mechanism
No install spec is provided (instruction-only with an included script), so no external packages or downloads are performed by the skill itself. This is low-risk from an install perspective.
Credentials
The skill requests no environment variables, credentials, or config paths beyond creating/using its own data directory. No secrets are requested or referenced.
Persistence & Privilege
always is false and the skill does not modify global agent configuration. It persists data only under ~/.qclaw/skills/pans-upsell-radar/data (its own directory), which is appropriate for its stated purpose.
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 pans-upsell-radar - 安装完成后，直接呼叫该 Skill 的名称或使用
/pans-upsell-radar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 pans-upsell-radar:
- Detects GPU usage, team growth, new model launches, and other upsell signals.
- Provides opportunity scoring (high/medium/low), expansion plan suggestions, and timing predictions.
- Includes CLI options for scanning, detailed customer analysis, listing, scoring, and proposal generation.
- Outputs structured reports with signals, scores, recommendations, and suggested follow-up timing.
元数据
常见问题
Pans Upsell Radar 是什么？
AI算力销售增购机会雷达。识别GPU利用率、团队扩张、新模型发布等增购信号。 支持机会评分、扩容方案生成、最佳时机预测。 触发词：增购机会, 扩容信号, upsell, 交叉销售, 客户增长. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 69 次。
如何安装 Pans Upsell Radar？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pans-upsell-radar」即可一键安装，无需额外配置。
Pans Upsell Radar 是免费的吗？
是的，Pans Upsell Radar 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pans Upsell Radar 支持哪些平台？
Pans Upsell Radar 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 Pans Upsell Radar？
由 dashiming（@dashiming）开发并维护，当前版本 v1.0.0。
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