Pipe arbitrary text through an LLM to generate concise responses.
npx skills add https://github.com/lrhodin/snorrio --skill llm-pipe
Please help me install this Agent Skill. Skill: llm-pipe Source: https://github.com/lrhodin/snorrio/tree/main/skills/llm-pipe Command: npx skills add https://github.com/lrhodin/snorrio --skill llm-pipe
It eliminates the need to manually copy command output into prompts, allowing seamless processing of arbitrary text through an LLM while maintaining context hygiene.
Pipe the result of git log through llm-pipe to get a concise summary.
High-intent search queries and answers about installing and using this skill.
To pipe command output to an LLM, you route stdin from any CLI tool directly into the prompt, allowing the model to instantly generate concise summaries or natural language transformations without manual copying.
Yes, you can process code diffs via stdin to explain changes in automated workflows. The LLM reads the piped input and outputs a natural language summary to stdout, maintaining context hygiene without manual intervention.
You can bypass injection detection by enabling trusted mode. This skips security checks for known safe inputs or your own code, ensuring seamless processing when piping trusted local text directly through the LLM.
You can override the default LLM model by providing specific model aliases or full provider/model identifiers as optional arguments. This allows flexible model switching on the fly while piping arbitrary CLI text.
The best way to summarize git logs is to pipe the git log output directly to an LLM via stdin. This instantly transforms verbose commit histories into a concise natural language summary on stdout.
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