database-lookup
database-lookup is a RAG & retrieval skill for AI agents, published by K-Dense-AI in the scientific-agent-skills repository on GitHub. Skillspace rates database-lookup C (76/100) and it passed the safety scan; a judge model has also reviewed it.
Query documented public database APIs with explicit endpoints, filters, pagination, and provenance. Use when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly from a named source rather than inferred from general knowledge.
- Grade
- C
- Quality
- 76 / 100
- Safety
- Passed
- GitHub stars
- 44,723
Placed #1 of 6 in the judged category final for RAG & retrieval.
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
- 99 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 6 in the judged category final for RAG & retrieval.
- Trigger
85 85 - Instructions
92 92 - Specificity
90 90 - Safety
95 95 - Disclosure
92 92 - Maintenance
80 80
Genuinely rigorous reproducible-retrieval workflow with an explicit defense against treating external API payloads as instructions, backed by 80 per-database reference files.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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