Rechercher

PythonReactSEOPDF
OpenClaw

Openclaw Copilot Cli

copilot cli

binotaliu0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install binotaliu/openclaw-copilot-cli

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

copilot-cli

Description

Execute GitHub Copilot CLI via exec for code gen, file edits, shell tasks using advanced models (Claude/GPT-5). Use when needing Copilot-powered coding/automation.

Installation

npm install -g @github/copilot

or on macOS:

brew install copilot-cli

Verify:

copilot --help

Authentication

  1. Run copilot (interactive mode).
  2. Type /login and follow prompts (uses GitHub account, requires Copilot subscription).

For non-interactive use after auth.

Usage

Non-interactive (one-shot prompts)
copilot -p \"Your prompt here\" --allow-all --silent
  • --allow-all: Enables all tools/paths/URLs (use --yolo for short).
  • --silent: Outputs only agent response.
  • --model claude-sonnet-4.6 or gpt-5.2 etc. to choose model.

In OpenClaw exec:

exec:
  command: copilot -p 'Generate a Python script to...' --allow-all --silent
Interactive
exec:
  command: copilot
  pty: true

Then use process tool:

  • send-keys: Send input like ['prompt text', 'Enter']
  • log: View output

Examples

Shell task
copilot -p 'List all .js files and summarize' --allow-all
Code generation
copilot -p 'Create a simple Express server in Node.js' --allow-all --silent
File edits
copilot -p 'Add error handling to main.js' --allow-all
Advanced models
copilot -p '...' --model gpt-5.3-codex --allow-all

Test

Tested: Generated hello_world.sh:

#!/bin/bash
echo \"Hello, World!\"

Solana NFT mint test started successfully (complex task running).

Tips

  • Custom instructions from AGENTS.md auto-loaded.
  • Use --no-custom-instructions if needed.
  • For scripting: --share to output session.md
  • Logs: ~/.copilot/logs/

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/binotaliu/openclaw-copilot-cli
Version
—
Commit
66d4a6c3fd57cf0a02f81a4563198c793eb724de
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# copilot-cli

## Description
Execute GitHub Copilot CLI via exec for code gen, file edits, shell tasks using advanced models (Claude/GPT-5). Use when needing Copilot-powered coding/automation.

## Installation
```
npm install -g @github/copilot
```
or on macOS:
```
brew install copilot-cli
```

Verify:
```
copilot --help
```

## Authentication
1. Run `copilot` (interactive mode).
2. Type `/login` and follow prompts (uses GitHub account, requires Copilot subscription).

For non-interactive use after auth.

## Usage
### Non-interactive (one-shot prompts)
```
copilot -p \"Your prompt here\" --allow-all --silent
```
- `--allow-all`: Enables all tools/paths/URLs (use `--yolo` for short).
- `--silent`: Outputs only agent response.
- `--model claude-sonnet-4.6` or `gpt-5.2` etc. to choose model.

**In OpenClaw exec:**
```
exec:
  command: copilot -p 'Generate a Python script to...' --allow-all --silent
```

### Interactive
```
exec:
  command: copilot
  pty: true
```
Then use `process` tool:
- `send-keys`: Send input like `['prompt text', 'Enter']`
- `log`: View output

## Examples
### Shell task
```
copilot -p 'List all .js files and summarize' --allow-all
```

### Code generation
```
copilot -p 'Create a simple Express server in Node.js' --allow-all --silent
```

### File edits
```
copilot -p 'Add error handling to main.js' --allow-all
```

### Advanced models
```
copilot -p '...' --model gpt-5.3-codex --allow-all
```

## Test
Tested: Generated `hello_world.sh`:
```bash
#!/bin/bash
echo \"Hello, World!\"
```

Solana NFT mint test started successfully (complex task running).

## Tips
- Custom instructions from AGENTS.md auto-loaded.
- Use `--no-custom-instructions` if needed.
- For scripting: `--share` to output session.md
- Logs: `~/.copilot/logs/`

Skills associés

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

0protocol

0isone

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

OpenClaw

0x0-messenger

eijiac24

Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.