Individual skill
metric-diagnostics
Diagnose why a metric changed or differs from expectation. Use when the task is to identify likely drivers of a metric movement, anomaly, gap, or discrepancy.
OpenAI/Codex/plugins/data-analytics/skills/metric-diagnostics/SKILL.md
Source commit a2d33761e49b98f6ec1b48f12143264eb9b4ff4f
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
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Repository context
- Repository stars (not skill ratings)
- 71,199
- Repository last updated
- Nov 10, 2026
- License
- CC0-1.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- anthropic Repository topic
- chatbot Repository topic
- chatgpt Repository topic
- claude Repository topic
- claude-code Repository topic
- codex Repository topic
- gemini Repository topic
- generative-ai Repository topic
- google Repository topic
- engineering Derived category
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Read excerpt
# Metric Diagnostics
Use this skill to diagnose why a metric changed or differs from expectation. Reproduce the metric, define the comparison, quantify the movement, validate likely drivers, and state what is verified, likely, unresolved, and useful to do next.
## Overall Instructions
- Follow the [shared Data instructions](../../shared/shared-skill-instructions.md) throughout this workflow.
## Dependencies
Apply the shared [dependency resolution policy](../../shared/shared-skill-instructions.md#dependency-resolution) to the categories below.
- Data Warehouse: Authoritative metric history, cohorts, and detail for reproducing and decomposing a change.
- Business Intelligence: Existing reporting views, definitions, and comparison baselines.