Pugongying Data Skill
v1.0.1蒲公英数据开发工程师Skill套件 - 专为数据开发工程师设计的完整AI Skill生态系统。 包含7个核心模块：需求分析、架构设计、数据建模、SQL开发、ETL Pipeline、数据质量、数据测试。 当用户需要端到端数据开发解决方案、数据仓库建设、ETL开发、SQL优化、数据质量管理时触发。 触发词：数据开发...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Benign
medium confidencePurpose & Capability
Name, description, module SKILL.md files, examples and the included init-project.sh scripts are coherent with an end-to-end data engineering skillset (requirements, architecture, modeling, SQL, ETL, DQ, testing). The presence of many docs, YAML package conventions and project-init scripts is proportionate to the stated purpose.
Instruction Scope
SKILL.md files instruct agents to read repository files (skill-connections.yaml, skill-hub.md, outputs/*.yaml), run shell commands and run packaged init-project.sh scripts. That scope is expected for a project-scaffolding/data-engineering skill but does grant the agent read/write and Bash execution over local files; users should review the scripts before executing to ensure there are no unexpected operations (network calls, credential reads, destructive filesystem changes).
Install Mechanism
No install spec is provided (instruction-only) and no archives or external download URLs are invoked by the package metadata. This is a low-risk distribution model; the only executable artifacts are local shell scripts included in the repo.
Credentials
The package declares no required environment variables, credentials, or config paths. Documentation references cloud services (AWS, Snowflake, etc.) as example target platforms, which is appropriate for this domain and does not imply credential requirements in the package metadata.
Persistence & Privilege
The skill is not force-included (always: false) and uses the normal agent invocation model. Some module SKILL.md files state the agent will use filesystem and Bash tools (Read/Grep/Glob/Edit/Write/Bash) to scaffold projects—this is consistent with init scripts but does mean the skill expects the agent to be allowed to modify local files when invoked.
Assessment
This repo is coherent for a data-engineering skillset, but it includes shell scripts (init-project.sh) that the agent may execute and instructions that read/write files in your skills/project directories. Before running: (1) inspect the init scripts for network calls, credential access, or destructive commands; (2) run scripts in an isolated or disposable environment (container or VM) if you’re unsure; (3) verify no unexpected environment variables or external endpoints are referenced by the scripts; (4) if you grant the agent filesystem/Bash permissions, limit its scope or review outputs it will create. If you want, I can summarize or scan the contents of the listed init-project.sh files for potentially risky operations.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.