querying-data-lake
querying-data-lake is a SQL analytics & reporting skill for AI agents, published by aws in the agent-toolkit-for-aws repository on GitHub. Skillspace rates querying-data-lake D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific data assets (use finding-data-lake-assets), full catalog audits (use exploring-data-catalog), importing data (use ingesting-into-data-lake).
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 1,855
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
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 6 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Running queries on Amazon Athena and AWS catalogs
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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