Data Analysis
v1.0.0Analyze CSV/Excel files to extract insights, generate statistics, create charts, and produce summaries. Use when user wants to (1) upload or analyze spreadsh...
⭐ 0· 15·0 current·0 all-time
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name and description match the SKILL.md. The instructions focus on reading CSV/Excel, computing statistics, creating charts, and summarizing results — all consistent with a data-analysis skill.
Instruction Scope
The SKILL.md stays within the stated purpose (data ingestion, transformation, stats, visualizations). It assumes access to local files (e.g., 'sales.csv') and Python libraries (pandas, matplotlib, openpyxl) but does not instruct the agent to read unrelated files, environment variables, or send data to external endpoints. It does not specify where generated charts or summaries should be saved or how sensitive data should be handled.
Install Mechanism
This is an instruction-only skill with no install spec (lowest install risk). Practical use requires runtime Python packages (pandas, matplotlib, openpyxl); the skill does not declare how those are provided. Lack of an install spec is not a security problem but the runtime environment must supply these libraries.
Credentials
No environment variables, credentials, or config paths are requested. The level of access requested is proportional to the stated purpose.
Persistence & Privilege
The skill is not force-installed (always:false), is user-invocable, and does not request persistent privileges or modify other skills or system-wide settings.
Assessment
This skill appears coherent for local CSV/Excel analysis. Before installing or using it: (1) ensure the execution environment has pandas, matplotlib, and openpyxl if you expect to run the code; (2) avoid uploading files containing sensitive PII unless you trust where outputs will be stored — the SKILL.md does not state storage or transmission policies; (3) confirm with the agent runtime whether generated charts/summaries will be saved locally, sent to external services, or retained in logs; and (4) for very large files follow the suggested chunking approach. If you need stronger privacy guarantees, ask for explicit instructions about data retention and external network usage.Like a lobster shell, security has layers — review code before you run it.
latestvk973jnz46mtkm1qsbe5p2wztbh84d9eq
License
MIT-0
Free to use, modify, and redistribute. No attribution required.