ClawHub

Senior Data Engineer

v2.1.1

Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka,...

⭐ 3· 2.5k·14 current·14 all-time
byAlireza Rezvani@alirezarezvani
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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Benign
high confidence
✓
Purpose & Capability
Name/description (data pipelines, ETL, Spark, Airflow, dbt, Kafka) align with the included reference docs and the three Python scripts (pipeline orchestration, data quality, ETL performance). There are no declared env vars, binaries, or config paths that contradict the stated purpose.
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Instruction Scope
SKILL.md instructs the agent to run bundled Python scripts and to read/write local pipeline files (dags, schemas, parquet, queries). That is coherent for this purpose, but executing the provided scripts runs arbitrary Python code and may access local files, connectors, or network endpoints described in examples—review the scripts before executing in sensitive environments.
✓
Install Mechanism
No install spec is provided (instruction-only plus bundled scripts). Nothing is downloaded from external URLs and no extract/install steps are present.
✓
Credentials
The skill requires no environment variables, credentials, or external config paths. Example code references typical endpoints (Kafka, S3, Delta paths) only as examples; no unrelated secrets are requested.
✓
Persistence & Privilege
always is false and there is no indication the skill attempts to persistently modify agent/system configuration or other skills. Autonomous invocation is allowed (platform default) but not combined with other privileged behaviors.
Assessment
This skill appears coherent for data-engineering tasks, but the bundle includes executable Python scripts—inspect those files (especially the three scripts) before running them. Run in a safe environment (local dev container or sandbox), verify any external connectors (Kafka, S3, Snowflake) are configured intentionally, and avoid running against production systems or with credentials present until you review network calls and file writes in the scripts.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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