flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
67
57%
Does it follow best practices?
Impact
82%
2.82xAverage score across 3 eval scenarios
Low
Low-risk findings worth noting
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tessl review fix ./.claude/skills/flow-nexus-swarm/SKILL.mdEvaluation results
100%
69%Automated Nightly Data Quality Pipeline
Workflow creation with dependencies and error handling
workflow_create() used
0%
100%
depends_on used
66%
100%
parallel: true on extraction steps
100%
100%
Sequential load after transform
100%
100%
Schedule trigger
0%
100%
Retry policy
0%
100%
max_retries set
0%
100%
Async workflow execution
0%
100%
Queue status check
37%
100%
Priority metadata
0%
100%
Correct MCP namespace
0%
100%
66%
58%Competitive Intelligence Research Swarm
Swarm topology and agent type selection
Mesh topology
0%
100%
Balanced or adaptive strategy
0%
0%
Researcher agent type
0%
100%
Analyst agent type
0%
100%
Task orchestration call
0%
0%
Parallel orchestration strategy
0%
0%
Priority field set
0%
0%
Swarm status monitoring
25%
100%
Scaling logic
37%
100%
Swarm cleanup
30%
100%
Correct MCP namespace
0%
100%
80%
32%Multi-Phase Product Launch Automation
Async execution and template-based swarm setup
Templates listed first
70%
100%
Template used for research
50%
100%
Template used for development
50%
100%
Star topology for testing
14%
100%
Template overrides applied
90%
100%
Multiple swarms created
100%
100%
Swarm cleanup
0%
0%
Correct MCP namespace
0%
0%
Mesh topology for research
57%
85%
- Repository
- ruvnet/ruvector
- Commit
6a6c39e
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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