Csv Handler
v2.1.0Handle CSV files from construction software exports. Auto-detect delimiters, encodings, and clean messy data.
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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 instructions and included Python code (CSV encoding/delimiter detection, cleaning, merging, splitting). Required binary (python3) is appropriate for a Python-based implementation. The declared filesystem permission in claw.json aligns with reading/writing CSV files.
Instruction Scope
SKILL.md contains concrete Python code for reading, profiling, cleaning, merging, and splitting CSVs and limits actions to files the user provides. It will read files from disk (user-supplied paths) and write split/merged outputs; there are no instructions to read unrelated system configuration or to transmit data to external endpoints. Note: because it reads arbitrary files the user supplies, only provide non-sensitive data if you have concerns.
Install Mechanism
This is an instruction-only skill (no install spec), which is low risk. However, the bundled Python code depends on third-party packages (pandas, chardet) that are not declared in the skill metadata or install spec — the environment must already have these libraries installed or the code will fail.
Credentials
The skill requests no environment variables, no credentials, and no external config paths. That is proportionate for a CSV-processing utility.
Persistence & Privilege
The skill is not set to always:true and uses normal agent invocation. It does not attempt to modify other skills or system-wide settings in the provided materials.
Assessment
This skill appears to do what it says: profile and clean construction CSV exports. Before installing or running it: 1) Ensure your runtime has python3 with required libraries (pandas, chardet) since the skill assumes those but doesn't install them. 2) Only supply files you are comfortable having the agent read — the skill will read user-provided file paths and may write output files. 3) There are no declared network endpoints or credential requests, but if you need stronger assurance, ask the author for a full dependency list and confirm there is no hidden behavior beyond the visible SKILL.md. 4) Run it in an environment with appropriate data access controls if the CSVs contain sensitive information.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
OSmacOS · Linux · Windows
Binspython3
