autonomous-data-loader
autonomous-data-loader is a Data pipelines & ETL skill for AI agents, published by oracle-devrel in the technology-engineering repository on GitHub. Skillspace rates autonomous-data-loader C (74/100) and it passed the safety scan; the rating is based on static analysis only.
generate and safely execute oracle autonomous ai lakehouse data loading and oci object storage lakehouse access workflows using dbms_cloud. use when the user wants to list oci object storage files, choose files or prefixes to load, create conservative csv staging tables, generate or run copy_data or copy_collection, tune dbms_cloud format options, load json documents into soda collections, create external tables to query apache iceberg data stored in oci object storage using direct metadata.json or hadoop catalog patterns, monitor user_load_operations or dba_load_operations, inspect logfile_table or badfile_table, troubleshoot rejected rows, reconcile loads, or profile staged data after loading. this skill is mcp-first with generate-only fallback and is scoped to oci object storage and dbms_cloud-based workflows.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 175
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- UPL-1.0
- 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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