map-audit
For leaders evaluating dashboards, metrics, or AI-generated reports to determine if they measure reality or generate confident-looking noise (Potemkin maps). Helps identify gaming potential, blind spots, and whether you should trust a metric more, less, or differently. Use when implementing new metrics, questioning existing dashboards, evaluating vendor claims, or when something feels off about your data. Keywords: dashboard audit, metrics, KPIs, gaming, Goodhart's law, AI reports, data quality, measurement validity, blind spots, Potemkin, are my metrics real, can I trust this data
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
For leaders evaluating dashboards, metrics, or AI-generated reports to determine if they measure reality or generate confident-looking noise (Potemkin maps). Helps identify gaming potential, blind spots, and whether you should trust a metric more, less, or differently. Use when implementing new metrics, questioning existing dashboards, evaluating vendor claims, or when something feels off about your data. Keywords: dashboard audit, metrics, KPIs, gaming, Goodhart's law, AI reports, data quality, measurement validity, blind spots, Potemkin, are my metrics real, can I trust this data
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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