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/semantic-kernel-setup/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/semantic-kernel-setup/SKILL.md 1.1 KB · Markdown Rendered Raw ⧉ Copy
name : semantic-kernel-setup
description : Microsoft Semantic Kernel planner and plugin setup for orchestrated AI
allowed-tools :
- Read
- Write
- Edit
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- Grep
Semantic Kernel Setup Skill Capabilities Configure Semantic Kernel with AI services Create semantic and native functions (plugins) Set up planners (Handlebars, Stepwise) Implement memory connectors Design kernel function chains Configure automatic function calling Target Processes function-calling-agent plan-and-execute-agent Implementation Details Core Components Kernel : Central orchestratorPlugins : Collections of functionsPlanners : Goal to action decompositionMemory : Context and semantic storagePlanner Types Handlebars Planner Stepwise Planner Function Calling Stepwise Configuration Options AI service connectors (OpenAI, Azure) Plugin registration Planner selection Memory backend Logging and telemetry Best Practices Clear function descriptions Appropriate planner selection Plugin organization Error handling patterns Dependencies