agent-agent
Agent skill for agent - invoke with $agent-agent
42
Quality
13%
Does it follow best practices?
Impact
93%
4.65xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./.agents/skills/agent-agent/SKILL.mdEvaluation results
93%
78%Autonomous CI/CD Deployment Planner
GOAP state-space modeling and action graph construction
current_state as Map
0%
100%
goal_state as Map
0%
100%
Action cost field
100%
100%
Preconditions as Map
0%
100%
Effects as Map
0%
100%
Inverse-cost weighting
0%
100%
analyzeMatrix checkDominance
0%
100%
analyzeMatrix checkSymmetry
0%
100%
analyzeMatrix estimateCondition
0%
100%
A* open set
0%
100%
A* closed set
100%
100%
Goal structure fields
0%
0%
Without context: $0.8625 · 3m 22s · 47 turns · 150 in / 10,253 out tokens
With context: $0.6515 · 2m 29s · 22 turns · 273 in / 9,218 out tokens
100%
79%AI Research Platform: Goal Prioritization and Agent Coordination Layer
Multi-agent swarm coordination and consensus decision-making
Swarm topology
0%
100%
Swarm maxAgents
0%
100%
Swarm strategy
0%
100%
Coordinator agent capabilities
0%
100%
Analyst agent capabilities
0%
100%
Optimizer agent capabilities
0%
100%
Orchestrate strategy
0%
100%
Orchestrate priority
0%
100%
PageRank damping
100%
100%
PageRank epsilon
0%
100%
Goals sorted descending
100%
100%
Consensus solver method
100%
100%
Proposal selection pattern
0%
100%
Without context: $1.4204 · 6m 46s · 74 turns · 3,167 in / 16,199 out tokens
With context: $0.5746 · 2m 10s · 20 turns · 272 in / 7,485 out tokens
88%
64%Adaptive Logistics Route Monitor
OODA loop dynamic replanning with memory and error recovery
observe() method
80%
100%
orient() method
80%
100%
decide() method
60%
100%
act() method
80%
100%
1-second cycle
0%
100%
Confidence threshold 0.8
0%
100%
Confidence from residual
0%
0%
MATRIX_SINGULAR handling
25%
100%
NO_CONVERGENCE handling
62%
100%
TIMEOUT handling
25%
100%
Memory namespace
0%
100%
Memory key pattern
0%
100%
Memory search limit
0%
100%
Without context: $0.4087 · 2m 26s · 16 turns · 22 in / 9,122 out tokens
With context: $0.9569 · 3m 52s · 26 turns · 390 in / 15,777 out tokens
- Repository
- ruvnet/claude-flow
- Commit
b2618f9
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.