install
source · Clone the upstream repo
git clone https://github.com/GeorgeDoors888/GB-Power-Market-JJ
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/GeorgeDoors888/GB-Power-Market-JJ "$T" && mkdir -p ~/.claude/skills && cp -r "$T/openclaw-skills/skills/askjda/text-cleaner-lite" ~/.claude/skills/georgedoors888-gb-power-market-jj-text-cleaner-lite && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/GeorgeDoors888/GB-Power-Market-JJ "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/openclaw-skills/skills/askjda/text-cleaner-lite" ~/.openclaw/skills/georgedoors888-gb-power-market-jj-text-cleaner-lite && rm -rf "$T"
manifest:
openclaw-skills/skills/askjda/text-cleaner-lite/SKILL.mdsource content
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