Data Analysis
v1.0.0Analyze and transform data from multiple formats to generate insights, visualize trends, detect anomalies, and create comprehensive reports.
⭐ 0· 1.3k·3 current·3 all-time
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
Name and description match the SKILL.md capabilities (parsing CSV/JSON/Excel, visualizations, summaries). Nothing requested (no binaries, env vars, or installs) conflicts with the stated purpose.
Instruction Scope
Runtime instructions are high-level and stay within data analysis. However the SKILL.md lists Google Sheets and SQL queries as supported formats without describing how connections/credentials are handled; the guidance is broad and gives the agent discretion to ask for or request external data access.
Install Mechanism
No install spec and no code files — instruction-only skill. This is lowest-risk from an install standpoint (nothing is written to disk or fetched at install time).
Credentials
The skill declares no required environment variables or credentials, which is proportionate. That said, supporting Google Sheets and SQL implies the potential need for credentials if the agent is asked to connect to those sources; those credentials are not declared here (the skill is underspecified).
Persistence & Privilege
always:false and user-invocable; the skill does not request persistent system presence or elevated privileges and contains no install-time hooks.
Assessment
This skill appears to be a generic, instruction-only data-analysis helper and is internally coherent. Before installing or using it: 1) Confirm how it will receive data — prefer pasting or uploading datasets rather than granting live access to Google Sheets or databases. 2) If you must connect it to Google Sheets or an SQL database, use least-privilege credentials (read-only, scoped, or temporary) and a test dataset with no PII or secrets. 3) Ask the skill author (or check the runtime/integration) how credentials are handled and whether any external endpoints are contacted. 4) Run it on non-sensitive data first to validate outputs and ensure it doesn't request unnecessary system files or secrets.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.