text-cleaner-lite

Normalize whitespace, remove duplicated blank lines, and trim leading/trailing spaces from text input.

Security Scan

The skill claims to clean and normalize text, but the shipped code is only a small metadata stub that does not perform any text-cleaning operations and there are several minor metadata/instruction inconsistencies.

Purpose & Capability

The skill name/description say it normalizes whitespace and trims text, but main.py does not implement any text processing: it only prints a JSON object echoing the provided --input and --mode. The declared outputs (cleaned_text) are not produced. This is a direct mismatch between claimed capability and actual code.

Instruction Scope

SKILL.md instructs running 'python main.py --input sample.txt --mode clean' implying the tool will read/process a file or input text. main.py treats --input as a string or path but does not read files or perform cleaning. The SKILL.md also contains a templated risk statement (looks like an unresolved template) and a minor formatting artifact in the usage example ('\b ash'), indicating sloppy packaging. Instructions therefore over-promise relative to runtime behavior.

Install Mechanism

No install spec and no third-party dependencies; the skill is instruction-only with a single small Python file using only argparse and json. There are no downloads or install steps that add risk.

Credentials

The skill requests no environment variables, no credentials, and no config paths. There is no evidence of requests for unrelated secrets or excessive permissions.

Persistence & Privilege

The skill does not request always:true, does not modify other skills or system settings, and has no install-time persistence. Autonomous invocation defaults are unchanged (normal).

What to consider before installing

This package appears to be a stub/placeholder rather than a working text-cleaner. If you need a text-normalization skill, do not rely on this in production until the author provides code that actually performs the described transformations. Before installing or invoking: (1) request the full source or a link to a repository showing the implementation, (2) verify main.py reads input and outputs cleaned_text (not just metadata), (3) confirm version consistency (registry metadata says 1.0.0 but skill.json lists 0.1.0) and fix unresolved template text in SKILL.md, and (4) run the code in a safe, isolated environment to validate behavior. The current footprint is low-risk but functionally misleading.

Skill Name

text-cleaner-lite

Function Description

Normalize whitespace, remove duplicated blank lines, and trim leading/trailing spaces.

Input Parameters

• raw_text (string), keep_newlines (boolean, optional)

Output Result

• cleaned_text (string)

Usage Example

ash python main.py --input sample.txt --mode clean

Risk Statement

• Risk level: L1
• This skill may perform actions matching category $(@{skill_id=skill_001; name=text-cleaner-lite; category=text-processing; risk_level=L1; source_template=skillsmp_download/1/SKILL.md; description=Normalize whitespace, remove duplicated blank lines, and trim leading/trailing spaces.; input=raw_text (string), keep_newlines (boolean, optional); output=cleaned_text (string); tags=System.Object[]; example=python main.py --input sample.txt --mode clean}.category) and should be reviewed before production use.

Category Tags

• text-processing, normalization, safe