Agent skill

C AI

by daxaur in daxaur/openpaw

Query LLMs from the CLI — pipe text for summarization, chat interactively, use local or cloud models with llm or aichat.

MITAuto-check passedWriting & Content

Install C AI

skills CLI
$ npx skills add daxaur/openpaw --skill c-ai -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install daxaur/openpaw c-ai --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/daxaur/openpaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/c-ai .claude/skills/c-ai && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
c-ai
GitHub stars
174
Token cost
~396 tokens
SKILL.md length
71 words
Files
1
Skills in repo
42
Repo updated
First seen
Licence
MIT

At a glance

Query LLMs from the CLI — pipe text for summarization, chat interactively, use local or cloud models with llm or aichat.

  • Tasks that involve Summarization
  • SKILL.md covers llm (Simon Willison), aichat and Guidelines
  • Calls git

What it does

C AI is an agent skill from daxaur/openpaw. Query LLMs from the CLI — pipe text for summarization, chat interactively, use local or cloud models with llm or aichat.

Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Summarization. The repository describes itself as: Personal Assistant Wizard for Claude Code — npx pawmode. The licence is MIT.

When your agent uses it

  • Tasks that involve Summarization

Example prompts

  • “/c-ai”

Requirements

  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit a2562d1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

C AI loads about 396 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 71 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~396

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from daxaur/openpaw at commit a2562d1, republished under its MIT licence (© daxaur). 71 words, ~396 tokens.

Download SKILL.mdSave it as .claude/skills/c-ai/SKILL.md (or your agent's skills folder).
name
c-ai
description
Query LLMs from the CLI — pipe text for summarization, chat interactively, use local or cloud models with llm or aichat.
tags
ai, llm, summarize, chat

AI / LLM Tools

llm (Simon Willison)

bash
# Quick prompt
llm "What is the capital of France?"

# Pipe text for processing
cat article.txt | llm "Summarize this in 3 bullet points"
git diff | llm "Write a commit message for these changes"
pbpaste | llm "Fix the grammar in this text"

# Interactive chat
llm chat

# Use specific model
llm -m claude-3.5-sonnet "Explain quantum computing"
llm -m gpt-4o "Review this code"

# List available models
llm models

# Install model plugins
llm install llm-claude-3
llm install llm-ollama    # local models

# View prompt/response history
llm logs list
llm logs last

aichat

bash
# Quick prompt
aichat "Explain Docker in simple terms"

# Pipe input
cat code.py | aichat "Find bugs in this code"

# Interactive REPL
aichat

# Shell assistant (generates and runs commands)
aichat -e "find all files larger than 100MB"

# Specific model
aichat -m claude-3.5-sonnet "Hello"

# List models
aichat --list-models

Guidelines

  • Use llm for piping text through LLMs (summarize, translate, analyze)
  • Use aichat -e for generating shell commands from natural language
  • Both tools store API keys locally — set up once with auth commands
  • llm has the richest plugin ecosystem (100+ model providers)
  • aichat is faster (Rust) and has built-in RAG support
  • These tools use separate API keys from Claude Code — user pays per token

© daxaur, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/c-ai of daxaur/openpaw.

Open the folder on GitHubat commit a2562d1

Compare with similar skills

C AI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

C AI compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
C AI this skilldaxaur/openpaw174—~396Automated safety check: PassMIT
News Aggregator Skillcclank/news-aggregator-skill1.3k—~2.1kAutomated safety check: PassNone
AI Daily Newsgeekjourneyx/ai-daily-skill235—~2.3kAutomated safety check: PassNone
Vss Search ArchiveNVIDIA-AI-Blueprints/video-search-and-summarization1.9k—~3.6kAutomated safety check: PassApache-2.0
AnalyzeriBigQiang/feedgrab614—~1kAutomated safety check: PassMIT
Reportmicrosoft/data-formulator18k—~1.5kAutomated safety check: PassMIT

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Questions about C AI

What does C AI do?

Query LLMs from the CLI — pipe text for summarization, chat interactively, use local or cloud models with llm or aichat. C AI is an agent skill from daxaur/openpaw. Query LLMs from the CLI — pipe text for summarization, chat interactively, use local or cloud models with llm or aichat.

When should I use C AI?

C AI fits situations like: tasks that involve Summarization.

How do I install C AI in Claude Code?

Run `npx skills add daxaur/openpaw --skill c-ai -a claude-code`. Or copy the skill folder (skills/c-ai in daxaur/openpaw) into .claude/skills/c-ai in your project. Claude Code loads it when a task matches its description.

How do I install C AI in Codex?

Run `npx skills add daxaur/openpaw --skill c-ai -a codex`. Or copy the skill folder (skills/c-ai in daxaur/openpaw) into .agents/skills/c-ai in your project. Codex loads it when a task matches its description.

Can I use C AI in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add daxaur/openpaw --skill c-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/c-ai, .gemini/skills/c-ai, .github/skills/c-ai and .opencode/skills/c-ai in your project.

What does C AI need to run?

Going by SKILL.md and its folder, C AI needs the command-line tools its instructions call (git). Our summary lists: Docker.

Does C AI access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is C AI safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does C AI use?

C AI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does C AI use?

About 396 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to C AI?

Skills that share tags, products or a category with C AI: News Aggregator Skill (cclank/news-aggregator-skill, 1.3k stars), AI Daily News (geekjourneyx/ai-daily-skill, 235 stars), Vss Search Archive (NVIDIA-AI-Blueprints/video-search-and-summarization, 1.9k stars) and Analyzer (iBigQiang/feedgrab, 614 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains C AI?

daxaur (a GitHub user) maintains it in daxaur/openpaw, which has 174 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on May 23, 2026.

Source: daxaur/openpaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.