data-processor

Process data with custom algorithms

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Evaluation results

90%

Log Frequency Analyzer

Python-only implementation

Criteria

Without context

With context

Python file produced

100%

No non-Python entry point

100%

Custom algorithm present

80%

Optimized approach

100%

process_data function

75%

Without context: $0.2982 · 1m 2s · 16 turns · 17 in / 4,030 out tokens

With context: $0.4535 · 1m 42s · 28 turns · 57 in / 5,368 out tokens

100%

Sales Record Normalizer

Custom optimized algorithm

Criteria

Without context

With context

Python implementation

100%

Custom transform logic

100%

Optimized pass

100%

Callable processor function

100%

Output file written

100%

Without context: $0.1608 · 43s · 14 turns · 14 in / 2,208 out tokens

With context: $0.2485 · 1m 8s · 17 turns · 687 in / 3,816 out tokens

100%

Support Ticket Category Aggregator

Python data pipeline with custom algorithm

Criteria

Without context

With context

Python-only solution

100%

Custom grouping logic

100%

Single-pass efficiency

100%

Reusable processor function

100%

Summary output file

100%

Without context: $0.3371 · 1m 13s · 22 turns · 23 in / 4,280 out tokens

With context: $0.3866 · 1m 22s · 26 turns · 25 in / 4,468 out tokens

Repository: cisco-ai-defense/skill-scanner
Commit: c0a625f

Evaluated: 17 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Log Frequency Analyzer Sales Record Normalizer Support Ticket Category Aggregator

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