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csv-processing

v0.1.0

Use this skill when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing value...

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by@wu-uk
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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Benign
high confidence
✓
Purpose & Capability
The name/description (CSV processing, time-series, missing values) aligns with the SKILL.md content: example pandas code for reading, filtering, aggregating, and writing CSVs. No unrelated credentials, binaries, or config paths are requested.
✓
Instruction Scope
SKILL.md contains only straightforward pandas snippets that read/write local CSV files and manipulate DataFrame objects. It does not instruct the agent to access unrelated files, environment variables, external endpoints, or to collect/transmit data beyond the stated task.
✓
Install Mechanism
There is no install spec (instruction-only). Nothing is downloaded or written to disk by an installer as part of the skill bundle.
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Credentials
The skill declares no required environment variables, credentials, or config paths. The examples assume pandas is available in the runtime environment, which is proportionate to the skill's purpose.
✓
Persistence & Privilege
always is false and the skill is user-invocable. It does not request permanent presence or elevated privileges and does not modify other skills or system-wide agent settings.
Assessment
This is a simple, coherent pandas/CVS helper. Before installing, confirm the agent runtime has pandas available (the SKILL.md assumes it). Be aware the agent will run Python code that reads/writes local CSV files—avoid giving it access to sensitive CSVs unless you trust it. When writing CSVs that may be opened in spreadsheet apps, consider sanitizing fields to avoid CSV/excel formula-injection. No additional credentials or external network access are requested by this skill.

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.
Termshttps://spdx.org/licenses/MIT-0.html

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