Data Analyzer
v1.1.0Data analysis tool for Excel, CSV, Word, PDF, TXT, Markdown files. Use when user needs to analyze, summarize, or compare data from multiple files. Supports f...
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by@tobewin
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the provided Python code: the skill scans folders, reads Excel/CSV/Word/PDF/TXT/Markdown files, and summarizes them. Requiring python3 and libraries (pandas, openpyxl, python-docx, PyMuPDF, matplotlib) is proportionate to the described features.
Instruction Scope
SKILL.md provides local-only analysis and contains the full Python implementation. The analyzer recursively scans the provided folder (Path.rglob('*')) and opens/reads file contents — which is expected for folder-level analysis but means the agent will read any files under the supplied path (including potentially sensitive files if the user points it at a broad location). The instructions do not reference environment variables or external endpoints.
Install Mechanism
This is an instruction-only skill with no install spec. The SKILL.md lists a pip install command for dependencies (pip install pandas openpyxl python-docx pymupdf matplotlib). Because there is no enforced install step, nothing is written by the skill itself. Installing dependencies via pip is a normal step but carries the usual PyPI risks (package supply-chain, native build deps for some wheels).
Credentials
No environment variables, credentials, or config paths are requested. The skill does not ask for unrelated secrets.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skills or system-wide configuration. Agent autonomous invocation is allowed (default) but is not combined with other concerning privileges.
Assessment
This skill appears coherent for local file analysis. Before using it: (1) only point the analyzer at folders you trust (it recursively reads all files in the folder), (2) be prepared to install Python packages it lists (pip installs can pull native wheels and run setup code), and (3) if you have sensitive files in your home or system paths, run the skill in a sandboxed environment or a copy of the data. If you need network isolation, verify your agent environment prevents outbound connections even though the provided code does not perform any network I/O.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.
Runtime requirements
📊 Clawdis
Binspython3