数据完整性判断机制。通过前晚基准值 vs 早上值对比，判断 Power BI 数据是否回灌完毕。适用于任何有延迟回灌的数据源。避免发送不完整数据。

This skill is high-level and coherent, but check these practical points before enabling it: 1) Decide and document how metrics will be fetched (Power BI API, DB query, exported file) and ensure any credentials used are minimal-scope and provided separately from this skill. 2) If you allow the agent to call connectors autonomously, confirm which tokens/accounts it will use and limit their scope. 3) Define and record where the sampled values and logs will be stored and who can view them. 4) Test the procedure on non-sensitive data to validate thresholds and retry logic (30-minute wait) to avoid false positives/negatives. 5) If you need the skill to perform automated fetches, consider adding explicit instructions about the connector and required permissions so users understand what access will be needed.

Type: OpenClaw Skill Name: xiaozhua-data-completeness-check Version: 1.0.0 The skill bundle consists of logical instructions for an AI agent to perform data completeness checks by comparing metrics at different time intervals. It contains no executable code, network requests, or suspicious instructions, and its behavior is entirely aligned with the stated purpose of validating Power BI data integrity in SKILL.md.