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inventory-risk-radar库存风险雷达

Agent Skill

inventory-risk-radar 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,920

周安装

117

GitHub Stars

公开资料未说明

下载量

945
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:inventory-risk-radar(库存风险雷达)
来源仓库:https://github.com/harrylabsj/inventory-risk-radar
安装命令:
openclaw skills install inventory-risk-radar
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install inventory-risk-radar

简介

inventory-risk-radar 扫描库存数据,识别缺货、过剩、延迟入库等五类运营风险。

  • 适用于实时监控 SKU 健康状态,生成可执行的风险观察列表。
  • 支持 CSV 导入,自动分类问题类型并排序处理 urgency。
  • 结果需人工复核,尤其关注高价值商品与季节性品类差异。
  • 可与 ERP 系统集成,但本技能独立运行,不修改底层业务系统。

SKILL.md

name
inventory-risk-radar
description
Scan ecommerce inventory notes or CSV exports for stockout, overstock, aging, inbound-delay, and promo-readiness risk, then turn them into a ranked watchlist, days-of-cover summary, action ladder, scenario notes, and operator-ready meeting brief. Use when inventory planners, operations leads, finance-aware operators, founders, or marketplace teams need a lightweight risk-detection layer without live ERP, WMS, or demand-forecasting integrations.

Inventory Risk Radar

Overview

Use this skill to turn inventory, sales, and supplier notes into a practical risk brief. It helps teams prioritize which SKUs need immediate attention, what kind of risk is present, and which action path should be reviewed first.

This MVP is heuristic. It does not connect to live ERP, WMS, purchase-order systems, or forecasting engines. It relies on the user's provided stock position, velocity, lead-time, and business-context notes.

Trigger

Use this skill when the user wants to:

  • flag stockout, overstock, aging, or inbound-delay risk
  • prepare a daily, weekly, or pre-promo inventory watchlist
  • estimate where cash or revenue risk is likely building
  • turn rough inventory exports into an ops-ready action memo
  • align replenishment, markdown, and supplier follow-up priorities

Example prompts

  • "Create a daily inventory risk watchlist from these notes"
  • "Which SKUs look most exposed before our promotion?"
  • "Help me prioritize stockout versus overstock risk"
  • "Turn this inventory and lead-time export into an ops meeting brief"

Workflow

  1. Capture the review mode, such as daily watchlist, replenishment review, pre-promo scan, or cash-risk review.
  2. Normalize the likely inventory signals: on-hand, inbound, sales velocity, lead time, and aging pressure.
  3. Classify the major risk types and translate them into business exposure.
  4. Build the watchlist, action ladder, and scenario notes.
  5. Return a markdown brief that operators can use in review meetings.

Inputs

The user can provide any mix of:

  • on-hand, reserved, available, inbound, or backorder notes
  • recent sales velocity, sell-through, or promo assumptions
  • supplier lead time, PO status, inbound ETA, or vendor reliability notes
  • aging days, markdown history, or storage constraints
  • margin, cash sensitivity, or strategic-SKU context
  • review purpose such as daily monitoring, replenishment planning, or promo readiness

Outputs

Return a markdown risk brief with:

  • inventory risk dashboard
  • days-of-cover summary
  • critical, warning, and watch-tier notes
  • action ladder and scenario notes
  • owner-ready watchlist guidance
  • assumptions, confidence notes, and limits

Safety

  • Do not claim access to live ERP, WMS, or supplier systems.
  • Treat exposure estimates as directional unless the user provides complete inputs.
  • Do not auto-create POs, transfers, markdowns, or ad changes.
  • Keep replenishment, liquidation, and promo decisions human-approved.
  • Reduce confidence when lead time, velocity, or SKU mapping is incomplete.

Best-fit Scenarios

  • SMB and mid-market ecommerce teams managing recurring stock risk
  • weekly replenishment meetings or pre-promo reviews
  • brands balancing stockout loss against cash tied up in slow movers
  • operators who need a lighter decision layer than a full planning suite

Not Ideal For

  • manufacturing-grade MRP planning with BOM and production scheduling
  • highly automated warehouse orchestration or real-time fulfillment control
  • businesses with almost no sales, stock, or lead-time history
  • workflows that require automatic purchasing or system execution

Example Output Pattern

A strong response should:

  • separate stockout, overstock, aging, and inbound-delay logic clearly
  • show severity and likely action path, not only raw inventory commentary
  • connect revenue risk and cash risk in the same brief when relevant
  • include scenario thinking for promo uplift or inbound slippage
  • surface assumptions when data quality is weak

Acceptance Criteria

  • Return markdown text.
  • Include dashboard, watchlist, action, and limits sections.
  • Make advisory limits explicit.
  • Keep the brief practical for operations, purchasing, and finance-aware operators.

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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权限和风险

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安装前确认

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