← 返回 Skills 市场
harrylabsj

Inventory Risk Radar

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
94
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install inventory-risk-radar
功能描述
Scan ecommerce inventory notes or CSV exports for stockout, overstock, aging, inbound-delay, and promo-readiness risk, then turn them into a ranked watchlist...
使用说明 (SKILL.md)

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.
安全使用建议
This skill appears internally consistent and low-risk: it parses and summarizes user-provided inventory text into a markdown brief and does not request credentials or perform network activity. Before installing, you may want to: (1) quickly inspect the rest of handler.py (ensure the handle() function does not perform network requests, shell execution, or write unexpected files), (2) avoid pasting sensitive credentials or full database exports into the skill input (it is designed for inventory notes/CSV fragments), and (3) run the included tests in a safe environment to confirm behavior matches expectations.
功能分析
Type: OpenClaw Skill Name: inventory-risk-radar Version: 1.0.0 The inventory-risk-radar skill is a heuristic analysis tool designed to process inventory notes and generate risk reports. The Python logic in handler.py uses simple keyword matching to categorize risks and signals, while SKILL.md provides clear, safe instructions for the AI agent, including explicit prohibitions against automated system execution or claiming unauthorized access to external ERP systems. No indicators of data exfiltration, malicious execution, or prompt injection were found.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
The name/description (inventory risk scanning and watchlist generation) align with the SKILL.md and the included handler.py, which normalizes input text, detects review mode, signals, and risk types, and renders a markdown brief. No unrelated capabilities or credentials are requested.
Instruction Scope
SKILL.md explicitly states the skill is heuristic and must not access live ERP/WMS/supplier systems; the code follows that model and operates on the provided input text/dict. The instructions do not ask the agent to read arbitrary system files, environment variables, or transmit data to external endpoints.
Install Mechanism
This is instruction-first with no install spec. No downloads, package installs, or external installers are declared. The included Python file appears self-contained and uses only standard library features.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The code does not reference os.environ or other credential/config access in the provided excerpts.
Persistence & Privilege
always is false (default) and the skill does not request elevated persistence or modify other skills or system settings. Autonomous invocation remains possible (platform default) but is not combined with broad privileges or credential access.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install inventory-risk-radar
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /inventory-risk-radar 触发
  4. 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 Inventory Risk Radar — a lightweight inventory risk detection and briefing tool. - Scans user-provided inventory notes or CSV exports for stockout, overstock, aging, inbound-delay, and promotion-readiness risks. - Ranks SKUs into a prioritized watchlist with days-of-cover summary, action ladder, and scenario notes. - Outputs a markdown operator-ready meeting brief for review and action. - Designed for ecommerce teams needing practical risk visibility without live system integrations. - Emphasizes heuristic analysis; does not connect to ERP, WMS, or automated execution.
元数据
Slug inventory-risk-radar
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Inventory Risk Radar 是什么?

Scan ecommerce inventory notes or CSV exports for stockout, overstock, aging, inbound-delay, and promo-readiness risk, then turn them into a ranked watchlist... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 94 次。

如何安装 Inventory Risk Radar?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install inventory-risk-radar」即可一键安装,无需额外配置。

Inventory Risk Radar 是免费的吗?

是的,Inventory Risk Radar 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Inventory Risk Radar 支持哪些平台?

Inventory Risk 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 Inventory Risk Radar?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

💬 留言讨论