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/chroma-integration/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/chroma-integration/SKILL.md 1.2 KB · Markdown Rendered Raw ⧉ Copy
name : chroma-integration
description : Chroma local vector database setup and operations for development and production
allowed-tools :
- Read
- Write
- Edit
- Bash
- Glob
- Grep
Chroma Integration Skill Capabilities Set up Chroma (ephemeral, persistent, client-server) Create and manage collections Implement document ingestion with embeddings Configure metadata filtering Set up multi-tenant collections Implement where and where_document filters Target Processes vector-database-setup rag-pipeline-implementation Implementation Details Deployment Modes Ephemeral : In-memory for testingPersistent : Local file-based storageClient-Server : Chroma server deploymentCore Operations Collection creation with embedding functions Add/update/delete documents Query with filters Metadata management Configuration Options Embedding function selection Persistence directory Distance metric (l2, ip, cosine) Collection metadata Server configuration Best Practices Use persistent mode for development Deploy server mode for production Design metadata schema upfront Implement proper ID strategies Dependencies