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/milvus-integration/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/milvus-integration/SKILL.md 1.3 KB · Markdown Rendered Raw ⧉ Copy
name : milvus-integration
description : Milvus distributed vector database configuration for large-scale RAG applications
allowed-tools :
- Read
- Write
- Edit
- Bash
- Glob
- Grep
Milvus Integration Skill Capabilities Set up Milvus (Lite, Standalone, Cluster) Design collection schemas with dynamic fields Configure index types (IVF, HNSW, etc.) Implement partition strategies Set up GPU acceleration Handle large-scale data operations Target Processes vector-database-setup rag-pipeline-implementation Implementation Details Deployment Modes Milvus Lite : Embedded for developmentStandalone : Single-node deploymentCluster : Distributed deployment with K8sCore Operations Collection and schema management Index creation and configuration Insert/delete/query operations Partition management Bulk import Configuration Options Index type selection (IVF_FLAT, IVF_SQ8, HNSW) Metric type (L2, IP, COSINE) Index parameters (nlist, nprobe, M, efConstruction) Partition key configuration Resource group assignment Best Practices Choose index type based on scale Use partitions for data isolation Configure proper nprobe for recall Monitor query latency and throughput Dependencies