data-processing

Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSON, extract from YAML, query config, Docker Compose, K8s manifests, GitHub Actions workflows, package.json, filter data.

1.20x

Quality

100%

Does it follow best practices?

Impact

82%

1.20x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Evaluation results

90%

-4%

Customer Order Report Generator

JSON filtering and transformation

Criteria

Without context

With context

Uses jq for JSON

100%

select() filter

100%

map() projection

40%

length for counting

100%

Raw output flag

100%

Compact output flag

100%

Multi-field extraction

100%

Nested path access

100%

Output files produced

100%

Script or commands logged

100%

90%

Kubernetes Deployment Audit and Image Update

Kubernetes YAML processing with yq

Criteria

Without context

With context

Uses yq for YAML

100%

Container image extraction

100%

In-place YAML edit

100%

Keys enumeration

Nested field access

100%

inventory.json produced

100%

Updated YAML file

100%

Script or commands logged

100%

67%

45%

Service Deployment Report Generator

TOML and Docker Compose processing with yq

Criteria

Without context

With context

Uses yq for TOML

33%

TOML to JSON conversion

Docker Compose service names

100%

Service image extraction

100%

Raw output used

100%

Compact JSON output

report.json produced

100%

Script or commands logged

50%

100%

Repository: NeverSight/skills_feed
Commit: f772de4

Evaluated: about 1 month ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Customer Order Report Generator Kubernetes Deployment Audit and Image Update Service Deployment Report Generator

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