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/rag-reranking/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/rag-reranking/SKILL.md 1.3 KB · Markdown Rendered Raw ⧉ Copy
name : rag-reranking
description : Cross-encoder reranking and MMR diversity filtering for improved retrieval quality
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RAG Reranking Skill Capabilities Implement cross-encoder reranking models Configure Maximal Marginal Relevance (MMR) filtering Set up Cohere Rerank integration Design multi-stage retrieval pipelines Implement diversity-aware reranking Configure score normalization and thresholds Target Processes advanced-rag-patterns rag-pipeline-implementation Implementation Details Reranking Methods Cross-Encoder Reranking : Sentence-transformer cross-encodersCohere Rerank : Cohere rerank-v3 APIMMR Reranking : Diversity-aware result filteringLLM Reranking : Using LLM for relevance scoringReciprocal Rank Fusion : Combining multiple retrieversConfiguration Options Reranking model selection Top-k after reranking MMR lambda (relevance vs diversity) Score threshold filtering Batch size for reranking Best Practices Use cross-encoders for quality Balance relevance and diversity Set appropriate thresholds Monitor reranking latency Dependencies sentence-transformers cohere (optional)