data-lake
data-lake is a System & environment troubleshooting skill for AI agents, published by StarRocks in the starrocks-debug-skills repository on GitHub. Skillspace rates data-lake C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Use when external catalog queries (Hive, Iceberg, S3, HDFS, Paimon) are failing, hanging, or returning stale data. Covers Hive Metastore connectivity errors, Kerberos authentication failures (keytab expiry, GSS errors, clock skew), S3 rate limiting and SSL issues, network saturation from HMS, and metadata cache TTL tuning for data freshness.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 69
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 92 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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