alibabacloud-analyticdb-postgresql-ai-coaching-best-practice

alibabacloud-analyticdb-postgresql-ai-coaching-best-practice is a RAG & retrieval skill for AI agents, published by aliyun in the alibabacloud-aiops-skills repository on GitHub. Skillspace rates alibabacloud-analyticdb-postgresql-ai-coaching-best-practice F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Implement AI Coaching best practices on AnalyticDB for PostgreSQL (ADBPG): Leverage Supabase projects (training data management) + ADBPG instances with vector optimization to build RAG-driven coaching systems that guide users through domain-specific workflows, decision-making, or skill development. Use when: User wants to create Supabase projects (spb-xxx), ADBPG instances (gp-xxx), vector knowledge bases, or RAG-driven coaching systems on ADBPG. Triggers: "Supabase", "ADBPG", "vector database", "knowledge base", "RAG", "AI coaching", "coaching system", "spb-xxx", "gp-xxx"

Grade
F
Quality
15 / 100
Safety
Unsafe
GitHub stars
191

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.

Our review

Architecture
70 / 100
Maturity
Structured: ships references or scripts
Security scan
Critical-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • pipe remote script to shell
  • 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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