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dashiming

Pans Upsell Radar

by dashiming · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
69
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Install in OpenClaw
/install pans-upsell-radar
Description
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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install pans-upsell-radar
  3. After installation, invoke the skill by name or use /pans-upsell-radar
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug pans-upsell-radar
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Pans Upsell Radar?

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. It is an AI Agent Skill for Claude Code / OpenClaw, with 69 downloads so far.

How do I install Pans Upsell Radar?

Run "/install pans-upsell-radar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Pans Upsell Radar free?

Yes, Pans Upsell Radar is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Pans Upsell Radar support?

Pans Upsell Radar is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Pans Upsell Radar?

It is built and maintained by dashiming (@dashiming); the current version is v1.0.0.

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