SaferSkills independently audited pinecone (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
✓—All security checks passedNo findings in this category for the latest scan.pass
Supply chainscore 100 · 0 findings
✓—All supply chain checks passedNo findings in this category for the latest scan.pass
Maintenancescore 100 · 0 findings
✓—All maintenance checks passedNo findings in this category for the latest scan.pass
Transparencyscore 100 · 0 findings
✓—All transparency checks passedNo findings in this category for the latest scan.pass
Communityscore 100 · 0 findings
✓—All community checks passedNo findings in this category for the latest scan.pass
Every scanned point with the score it earned and what moved between them.
1 scans · 90 days
9c41820
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
skills/pinecone/SKILL.md · 1 file
skills/pinecone/SKILL.md0.5 KB · Markdown
name: pinecone
description: Set up Pinecone as the vector DB in a RAG pipeline — index config, batch upsert, semantic query, metadata filters. Use when the user is adding Pinecone or debugging vector search.
when_to_use: When the user mentions Pinecone, vector search, or needs a vector DB for RAG.