Agent skill for pagerank-analyzer - invoke with $agent-pagerank-analyzer
44
Quality
17%
Does it follow best practices?
Impact
85%
9.44xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./.agents/skills/agent-pagerank-analyzer/SKILL.mdPageRank tool usage and adjacency matrix parameters
Correct PageRank tool
0%
100%
COO format specified
0%
100%
COO data fields
0%
100%
Adjacency dimensions
0%
100%
Standard damping factor
0%
100%
High-precision epsilon
0%
100%
Max iterations set
0%
100%
Matrix analysis tool
0%
100%
analyzeMatrix checkSymmetry
0%
100%
analyzeMatrix estimateCondition
0%
100%
Top influencers extraction
50%
100%
Without context: $0.5128 · 2m 22s · 21 turns · 27 in / 8,869 out tokens
With context: $0.7138 · 3m 11s · 22 turns · 27 in / 12,464 out tokens
Personalized PageRank for recommendation systems
Correct PageRank tool
0%
0%
Personalized parameter
0%
66%
COO format specified
0%
0%
COO data fields
0%
0%
Adjacency dimensions
0%
0%
Standard damping
50%
100%
Standard-precision epsilon
0%
100%
Personalized max iterations
0%
100%
Recommendations from scores
70%
100%
Does NOT use 0.9 damping
100%
100%
Without context: $0.4424 · 1m 56s · 21 turns · 25 in / 7,593 out tokens
With context: $0.7223 · 3m 5s · 25 turns · 283 in / 11,176 out tokens
Swarm topology optimization with solve and PageRank
PageRank tool used
0%
100%
Swarm damping factor
0%
100%
Solve tool used
0%
100%
Neumann method
0%
100%
High-precision solve epsilon
0%
100%
COO adjacency format
0%
100%
Hub identification
0%
100%
Bottleneck identification
0%
100%
Does NOT use 0.85 for swarm
100%
100%
Without context: $0.4018 · 1m 40s · 19 turns · 22 in / 6,779 out tokens
With context: $1.6886 · 7m 9s · 25 turns · 30 in / 39,664 out tokens
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Table of Contents
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