kafka-shadowtraffic

kafka-shadowtraffic is a Streaming & real-time data skill for AI agents, published by lensesio in the agentic-engineering-for-apache-kafka repository on GitHub. Skillspace rates kafka-shadowtraffic C (72/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Generate a ShadowTraffic configuration to populate a Kafka topic with realistic synthetic data. Discovers the target topic, its key and value schemas, and the correct serializers from the live cluster via any attached Kafka MCP server, then writes a ready-to-run `shadowtraffic-config.json` and Docker command. Use when the user says "populate my Kafka topic with test data", "set up ShadowTraffic for topic X", "generate synthetic events into my topic", "I need fake data flowing into Kafka", "seed my topic with data", or "mock data for my Kafka topic". Do NOT use for creating topics, reviewing schemas, or building Kafka consumers.

Grade
C
Quality
72 / 100
Safety
Needs review
GitHub stars
53

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHublensesio/agentic-engineering-for-apache-kafka

Our review

Architecture
100 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
Medium-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. Configures ShadowTraffic against Kafka, both public products

What the scanner flagged

  • suspicious outbound endpoint
  • over-broad allowed-tools ('*')

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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