Individual skill
detecting-data-anomalies
Process identify anomalies and outliers in datasets using machine learning algorithms. Use when analyzing data for unusual patterns, outliers, or unexpected deviations from normal behavior. Trigger with phrases like "detect anomalies", "find outliers", or "identify unusual patterns".
tests/ext_conformance/artifacts/plugins-community/plugins/ai-ml/anomaly-detection-system/skills/detecting-data-anomalies/SKILL.md
Source commit 70110103476bad94b3d700f50909d08842df50cc
What was checked
- 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 3, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 1,969
- Repository last updated
- Nov 6, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- cli Repository topic
- developer-tools Repository topic
- rust Repository topic
- operations Derived category
- data Derived category
- education Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 2,265 bytesassets/README.mddoc · 404 bytesreferences/README.mddoc · 683 bytesreferences/errors.mddoc · 1,001 bytesreferences/examples.mddoc · 67 bytesreferences/implementation.mddoc · 1,771 bytesscripts/README.mddoc · 639 bytesscripts/algorithm_selector.pyruns · 2,974 bytesscripts/anomaly_visualizer.pyruns · 2,940 bytesscripts/data_loader.pyruns · 2,952 bytesscripts/report_generator.pyruns · 2,952 bytes
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