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/memory-summarization/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/memory-summarization/SKILL.md 1.2 KB · Markdown Rendered Raw ⧉ Copy
name : memory-summarization
description : Conversation summarization for memory compression and context management
allowed-tools :
- Read
- Write
- Edit
- Bash
- Glob
- Grep
Memory Summarization Skill Capabilities Implement conversation summarization strategies Configure rolling summary updates Design hierarchical summarization Implement token-aware summarization Create extractive and abstractive summaries Design summary quality evaluation Target Processes conversational-memory-system long-term-memory-management Implementation Details Summarization Strategies Rolling Summary : Update summary with new messagesHierarchical : Multi-level summarizationToken-Budget : Fit within token limitsExtractive : Key message selectionAbstractive : LLM-generated summariesConfiguration Options LLM for summarization Summary token budget Update frequency Summary template Quality thresholds Best Practices Balance detail vs compression Preserve key information Monitor summary quality Test with long conversations Handle context window limits Dependencies langchain-core LLM provider