A professional AI internal control agent for monitoring Cainiao logistics anomalies, risk leveling, and automated compensation matching.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 03-logistics-alert
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install 03-logistics-alert using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Logistics Anomaly Warning Expert?
The Logistics Anomaly Warning skill is a specialized internal control solution developed for Alibaba's ecosystem. It leverages 2024 Taobao/Tmall logistics regulations and Cainiao SLA standards to provide real-time monitoring of delivery orders. By analyzing tracking data, the skill identifies signals such as stalled trajectories, lost packages, and damaged goods to safeguard against financial loss and customer complaints.
Built as part of the Openclaw Skills library, it categorizes anomalies into technical codes (AE-01 to AE-10) and assigns priority levels from P0 to P3. This allows internal control personnel to automate the identification of high-risk shipments, estimate potential compensation budgets, and receive actionable disposal suggestions for single or bulk order datasets.
Logistics Anomaly Warning Expert Use Cases
- Monitoring single order status by pasting tracking numbers or trajectory text to detect anomalies.
- Performing bulk order analysis via uploaded datasets to generate comprehensive logistics health reports.
- Generating daily or weekly logistics health summaries for supply chain management.
- Estimating compensation budgets and financial risk exposure for confirmed logistics failures.
How Logistics Anomaly Warning Expert Works
- Data Acquisition: The agent receives logistics order information including tracking numbers, order dates, and current trajectory status.
- Anomaly Identification: It runs a decision tree analysis based on the last update time (e.g., >72h without warehouse entry triggers AE-04) and trajectory content.
- Risk Leveling: Anomalies are classified by severity, ranging from P3 (Low) to P0 (Critical), based on value and impact.
- Compensation Matching: The skill calculates estimated payouts using predefined formulas such as MIN(Actual Value, Compensation Ceiling).
- Reporting: A structured Warning Report is generated, providing immediate action steps and follow-up timelines.
Logistics Anomaly Warning Expert Setup
To deploy this skill within your environment, ensure you have access to the Openclaw Skills framework and reference the required documentation files.
# Initialize the logistics skill environment
openclaw install logistics-anomaly-warning
# Ensure internal control docs are linked
cp ./docs/GLOSSARY.md ./skills/logistics/
cp ./docs/INSUFFICIENCY-HANDLING.md ./skills/logistics/
Logistics Anomaly Warning Expert Data Schema & Taxonomy
The skill organizes logistics data based on the following taxonomy and reporting structure:
| Data Field | Description | Taxonomy Code |
|---|---|---|
| AE-01 | Trajectory Stall | Update lag > 24h |
| AE-04 | Suspected Loss | No warehouse entry > 72h |
| AE-05 | Confirmed Loss | No movement > 7 days post-entry |
| AE-10 | Batch Anomaly | ≥5 items from same supplier/batch |
Output Formats:
- Single Item Report: Includes order info, anomaly result, risk level, and compensation estimate.
- Batch Report: Includes overall anomaly distribution, high-priority lists, and financial risk exposure summary.
Logistics Anomaly Warning Expert Advanced Features
- Multi-agent linkage: Triggers supplier risk scoring via Skill 2 when batch anomalies (AE-10) occur.
- Remote Area Logic: Specialized time-limit benchmarks for Xinjiang, Tibet, and Inner Mongolia.
- Sub-code Granularity: Detailed AE-03 analysis for returns (A), wrong destinations (B), and timestamp disorder (C).
- Dynamic Compensation Caps: Automated logic for insured vs. non-insured parcels and cross-border vs. domestic limits.
SKILL.md
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