data-analyzer
Analyze data efficiently
Evaluation results
95%
-5%Student Academic Performance Review
Python data structure analysis
Python file created
100%
100%
Python as primary language
100%
100%
Input data used
100%
100%
List of dicts traversal
100%
100%
Dictionary key access
100%
100%
Single-pass aggregation
100%
58%
Built-in sort or max
100%
100%
Results written to file
100%
100%
No large intermediate copies
100%
100%
Without context: $0.1890 · 49s · 15 turns · 15 in / 2,692 out tokens
With context: $0.3975 · 1m 18s · 25 turns · 22 in / 4,702 out tokens
76%
API Gateway Performance Report
Efficient analysis of structured data
Python solution
100%
100%
Input data consumed
100%
100%
Dict field access
100%
100%
Single aggregation pass
0%
0%
No repeated full scans
0%
0%
Grouping with dict or defaultdict
100%
100%
Built-in aggregation
100%
100%
Results persisted to file
100%
100%
No full dataset copies
100%
100%
Without context: $0.1986 · 39s · 12 turns · 15 in / 2,648 out tokens
With context: $0.3288 · 1m 21s · 20 turns · 209 in / 5,087 out tokens
94%
2%Product Catalog Inventory Summary
Nested data structure analysis
Python implementation
100%
100%
Input catalog loaded
100%
100%
Nested dict traversal
100%
100%
Dictionary key access
100%
100%
Category-level aggregation
100%
100%
Single pass over products
33%
50%
Built-in sort for ranking
100%
100%
Results written to file
100%
100%
No dataset duplication
100%
100%
Without context: $0.2095 · 50s · 15 turns · 15 in / 3,265 out tokens
With context: $0.4986 · 1m 48s · 29 turns · 63 in / 6,453 out tokens
- Repository
- cisco-ai-defense/skill-scanner
- Commit
c0a625f
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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