Data Analyst Pro
v1.0.0Professional data analysis skill pack - SQL queries, Python analytics, visualization, and automated reports. Perfect for data analysts, developers, and busin...
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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
high confidencePurpose & Capability
Name/description match the SKILL.md content: SQL templates, Python/pandas examples, visualization and report templates. There are no unrelated environment variables, binaries, or installs requested.
Instruction Scope
The instructions are generally constrained to generating SQL, producing Python/pandas scripts, creating charts, and producing reports. However, some quick-start examples use shorthand like "[自动加载 CSV]" and high-level language such as "[生成统计摘要]" that are intentionally open-ended; that gives the agent discretion about how to load or access data (e.g., which files to read). The SKILL.md does not instruct the agent to contact external endpoints or read system secrets, but you should be aware that an agent following the skill could run the provided code locally and access files the agent has permission to read.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing will be written or downloaded by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The examples read/writes local data files (e.g., data.csv, output images) which is proportionate for a data-analysis skill.
Persistence & Privilege
Default permissions (not always:true). The skill does not request persistent or elevated platform privileges or modify other skills' configurations.
Assessment
This skill is an offline instruction pack of SQL and Python examples and appears internally consistent. Before using it: (1) confirm which data files the agent will access — avoid providing sensitive production data unless you trust the agent's execution context; (2) ensure your runtime has the needed Python packages (pandas, matplotlib/seaborn, scipy) before executing snippets; (3) note the SKILL.md is high-level in places (e.g., "auto-load CSV") so prefer explicit prompts like "load only /path/to/sample.csv" to avoid accidental access to other files; (4) because it’s instruction-only, nothing is downloaded by the skill itself, but an agent executing the provided code will read/write files locally — run on test data first; (5) if you want manual control, consider disabling autonomous skill invocation in your agent settings so the model cannot run these instructions without your confirmation.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.