Score breakdown0 Version history1 Source
Category Weight Category score Contribution
Security prompt, exec, net, exfil, eval
35%
100
35.0 pts
Supply chain hash, typosquat, maintainer, lockfile
20%
100
20.0 pts
Maintenance staleness, pinning, CI
15%
100
15.0 pts
Transparency SKILL.md, perms, README
15%
100
15.0 pts
Community installs, verify, response
15%
100
15.0 pts
Findings & checks · 0 flagged
Security score 100 · 0 findings
✓ — All security checks passedNo findings in this category for the latest scan. pass
Supply chain score 100 · 0 findings
✓ — All supply chain checks passedNo findings in this category for the latest scan. pass
Maintenance score 100 · 0 findings
✓ — All maintenance checks passedNo findings in this category for the latest scan. pass
Transparency score 100 · 0 findings
✓ — All transparency checks passedNo findings in this category for the latest scan. pass
Community score 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 d97a2e4 latest
Jun 23, 2026 100 d97a2e4
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
library/specializations/ai-agents-conversational/skills/weaviate-integration/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/weaviate-integration/SKILL.md 1.2 KB · Markdown Rendered Raw ⧉ Copy
name : weaviate-integration
description : Weaviate vector database setup with GraphQL queries and hybrid search
allowed-tools :
- Read
- Write
- Edit
- Bash
- Glob
- Grep
Weaviate Integration Skill Capabilities Set up Weaviate cluster (cloud or self-hosted) Define schemas with properties and vectorizers Implement GraphQL queries Configure hybrid search (vector + keyword) Set up multi-tenancy Implement batch import operations Target Processes vector-database-setup rag-pipeline-implementation Implementation Details Core Operations Schema Management : Class definitions and propertiesData Import : Single and batch object creationVector Search : nearVector, nearText queriesHybrid Search : Combined vector and BM25GraphQL : Flexible querying with Get and AggregateConfiguration Options Vectorizer modules (text2vec-, multi2vec- ) Replication factor Sharding configuration Multi-tenancy settings Module configuration Best Practices Design schema for query patterns Use appropriate vectorizer Enable hybrid search for better recall Configure proper backups Monitor resource usage Dependencies weaviate-client langchain-weaviate