metadata-impact-analysis
metadata-impact-analysis is a Data warehousing & modelling skill for AI agents, published by aboyalejandro in the agentic-data-modeling repository on GitHub. Skillspace rates metadata-impact-analysis D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze downstream impact before making schema changes. Traces lineage through dbt models and dashboards to identify what breaks if a column is renamed, dropped, or its type changes. Triggers include "impact analysis", "what breaks if", "can I rename", "can I drop", "downstream impact".
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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