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/entity-memory-extraction/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/entity-memory-extraction/SKILL.md 1.2 KB · Markdown Rendered Raw ⧉ Copy
name : entity-memory-extraction
description : Entity and fact extraction for user profiling and personalization
allowed-tools :
- Read
- Write
- Edit
- Bash
- Glob
- Grep
Capabilities Extract entities from conversations Build and update user profiles Track preferences and facts Implement entity disambiguation Design entity relationship graphs Configure extraction rules and schemas Target Processes long-term-memory-management conversational-persona-design Implementation Details Named Entities : People, places, organizationsUser Preferences : Likes, dislikes, interestsFacts : Stated information about userTemporal : Dates, events, schedulesRelationships : Connections between entitiesConfiguration Options Extraction model selection Entity schema definition Confidence thresholds Update policies Storage backend Best Practices Define clear entity schemas Handle entity conflicts Implement confidence scoring Regular profile validation Privacy considerations Dependencies langchain spacy (optional) Custom extraction models