Individual skill
snowflake-data-quality-sentinel
Assess trusted Snowflake data metric function coverage and expectation evidence without reading customer rows. Use when evaluations, definitions, schedules, notifications, anomaly state, or monitoring coverage may be incomplete or unhealthy. Trigger with "Snowflake data quality", "DMF expectation", "definition drift", "missing evaluation", or "notification gap".
plugins/saas-packs/snowflake-pack/skills/snowflake-data-quality-sentinel/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Yes
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- No
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- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- snowflake Declared skill tag
- data-quality Declared skill tag
- governance Declared skill tag
- observability Declared skill tag
- incident-response Declared skill tag
- engineering Derived category
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# Snowflake Data Quality Sentinel
## Purpose
Produce separate configuration, history-observation, and history-completeness
verdicts from an owner-approved requirement denominator and trusted schema-2
collector receipts. Missing or untrusted evidence never becomes a pass, and this
history surface never supports an unqualified present-tense quality pass.
Read [the input contract](references/input-contract.md) before assembly and consult
[the source notes](references/source-notes.md) when interpreting provider semantics.
## Prerequisites
