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/crewai-setup/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/crewai-setup/SKILL.md 1.3 KB · Markdown Rendered Raw ⧉ Copy
name : crewai-setup
description : CrewAI multi-agent orchestration setup for collaborative AI systems
allowed-tools :
- Read
- Write
- Edit
- Bash
- Glob
- Grep
CrewAI Setup Skill Capabilities Configure CrewAI agents with roles and goals Define tasks and expected outputs Set up crew orchestration patterns Implement agent collaboration workflows Configure memory and knowledge sharing Design hierarchical agent structures Target Processes multi-agent-system plan-and-execute-agent Implementation Details Core Components Agents : Define roles, goals, backstories, and toolsTasks : Specify descriptions, expected outputs, and assigned agentsCrews : Orchestrate agents with process typesTools : Custom tool integration for agentsProcess Types Sequential: Linear task execution Hierarchical: Manager-led coordination Consensus: Agent voting and agreement Configuration Options LLM selection per agent Tool assignment Memory configuration Delegation settings Verbose/debug modes Best Practices Clear role definitions Appropriate task granularity Proper tool assignment Monitor agent interactions Handle failures gracefully Dependencies