test-skill

v1.0.0

Processes CSV files to generate statistical summaries (mean, median, std, min, max) for specified numeric columns and row count.

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for aidfsoft/product-test-skill.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "test-skill" (aidfsoft/product-test-skill) from ClawHub.
Skill page: https://clawhub.ai/aidfsoft/product-test-skill
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install product-test-skill

ClawHub CLI

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npx clawhub@latest install product-test-skill
Security Scan
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high confidence
Purpose & Capability
Name/description (CSV statistical summaries) align with the inputs, outputs, and declared dependencies (pandas, numpy). There is no request for unrelated credentials, binaries, or config paths.
Instruction Scope
SKILL.md explicitly limits actions to reading a provided local CSV path and computing statistics; it states no network access is required. The instructions do not ask the agent to read unrelated files, environment variables, or transmit data to external endpoints.
Install Mechanism
This is an instruction-only skill (no install spec, no code). That is low risk. It lists pandas and numpy as dependencies but provides no install mechanism — not a security problem but means the runtime must already have (or be allowed to install) those packages.
Credentials
The skill requests no environment variables, credentials, or config paths. The scope of access (local file read) is proportionate to the stated purpose.
Persistence & Privilege
The skill does not request always: true, does not modify other skills, and does not claim persistent/system-wide changes. Autonomous invocation is allowed (platform default) but not combined with other red flags.
Assessment
This skill appears coherent and low-risk: it only needs to read a local CSV and compute statistics. Before installing, ensure you are comfortable with the agent having access to the local files you provide (do not point it at sensitive data). Also ensure the execution environment has the required Python packages (pandas >=2.0.0, numpy >=1.24.0) or that you trust the environment to install them. Finally, verify the platform's runtime network/file permissions since the skill's SKILL.md claims no network access — platforms can still grant broader permissions at runtime.

Like a lobster shell, security has layers — review code before you run it.

latestvk970d11ckgqbwr4rns34q4xp0s85pnxw
40downloads
0stars
1versions
Updated 11h ago
v1.0.0
MIT-0

Data Analyzer Skill

Description

A data analysis skill that processes CSV files and generates summary statistics reports.

Version

1.0.0

Input

  • file_path (string, required): Path to the CSV file to analyze
  • columns (list, optional): Specific columns to include in the analysis

Output

  • summary (object): Statistical summary including mean, median, std, min, max for each numeric column
  • row_count (integer): Total number of rows processed

Permissions

  • File read access (local workspace only)
  • No network access required

Usage Example

Input: {"file_path": "data/sales.csv", "columns": ["revenue", "quantity"]}
Output: {"summary": {"revenue": {"mean": 150.5, "median": 120.0}}, "row_count": 1000}

Dependencies

  • pandas >= 2.0.0
  • numpy >= 1.24.0

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