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Ai Intelligent Demand Forecasting

Name: Ai Intelligent Demand Forecasting
Author: yang1002378395-cmyk

作者 yang1002378395-cmyk · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

213

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-intelligent-demand-forecasting

功能描述

需求预测，销售预测 + 补货计划。

使用说明 (SKILL.md)

AI 智能需求预测系统

描述

需求预测，销售预测 + 补货计划。

功能

销售预测（AI预测）
季节分析（季节因子）
促销影响（促销调整）
补货计划（自动补货）
预测准确率（误差分析）

定价

基础版：¥299/月（100 SKU）
专业版：¥1499/月（1000 SKU）
企业版：¥4999/月（无限 SKU）

适用场景

销售预测
库存计划
供应链
零售预测

技术栈

Python + FastAPI
时序预测
机器学习
误差分析

安装

git clone https://github.com/openclaw-skills/ai-intelligent-demand-forecasting
cd ai-intelligent-demand-forecasting
pip install -r requirements.txt
python app.py

创建：2026-03-13 作者：OpenClaw Skills Team

安全使用建议

This skill's description aligns with demand-forecasting, but its SKILL.md tells you to clone and run code from a GitHub repo while the skill metadata lists no required binaries or install steps — an inconsistency. Before installing or running it: (1) inspect the GitHub repository and commit history yourself; prefer a tagged release and verify integrity (checksum/signature) if possible; (2) review requirements.txt for suspicious packages or post-install scripts; (3) run the code in an isolated environment (container or VM) and do not run it on production hosts; (4) ensure you have git, python, and pip available and be aware the app may open network ports; (5) if you need the skill to be registry-hosted, ask the publisher to include code or a formal install spec and to declare required binaries and permissions. If you cannot review the external repository, treat the package as untrusted.

功能分析

Type: OpenClaw Skill Name: ai-intelligent-demand-forecasting Version: 1.0.0 The skill bundle contains only metadata and documentation (SKILL.md) describing an AI-driven demand forecasting system. It includes standard features, pricing, and installation instructions without any executable code, suspicious network calls, or prompt-injection attempts.

能力评估

ℹ Purpose & Capability

The stated purpose (销售/需求预测与补货计划) matches the SKILL.md feature list. However, the SKILL.md expects a Python/FastAPI application to be installed and run, while the skill metadata declares no required binaries or install steps. Declaring no required binaries (git, python, pip) is inconsistent with the installation instructions.

⚠ Instruction Scope

The SKILL.md instructs the user/agent to git clone a GitHub repo, pip install requirements, and run python app.py — which will download and execute remote code and may start a networked service. The instructions do not ask for unrelated files or credentials, but they do direct the agent/user to fetch and run arbitrary code from an external source without checksum or version pinning.

⚠ Install Mechanism

There is no formal install spec in the registry entry, but the doc-level install steps use git clone from github.com/openclaw-skills/... and pip install -r requirements.txt. Downloading and executing from an external repo is higher risk than an instruction-only skill; the repo is a known host (GitHub) which reduces some risk, but there's no release/tag or integrity verification specified.

ℹ Credentials

The metadata lists no required environment variables or credentials and the instructions do not request secrets. That is proportionate, but the instructions implicitly require access to network, filesystem, and the ability to run Python and pip — these capabilities are not declared in the skill manifest. Running the app may open a network port (FastAPI) which could expose a persistent service.

ℹ Persistence & Privilege

The skill is not marked always:true and does not request persistent platform privileges. Still, following the instructions will install and run a persistent service (python app.py) on the host if executed — something the registry metadata does not call out. This increases operational exposure if you install it on production systems.

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 ai-intelligent-demand-forecasting
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-intelligent-demand-forecasting 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 AI Intelligent Demand Forecasting skill. - Provides AI-powered demand prediction, sales forecasting, and automated replenishment planning. - Features include seasonal analysis, promotion impact adjustments, and accuracy/error analysis. - Supports multiple pricing plans for various SKU needs. - Built with Python, FastAPI, and machine learning techniques for time-series forecasting. - Suitable for sales, inventory, supply chain, and retail forecasting scenarios.

元数据

Slug ai-intelligent-demand-forecasting

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题