aiosai/aipass/drone-commands

Claude Code and agent skill by aiosai/aipass

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Checking that the SKILL.md file is still in the repository.

Execute drone commands -- the AIPass CLI interface for all module operations

Install

npx vskill@latest install aiosai/aipass/drone-commands

SKILL.md

Drone Commands Skill

Execute drone commands programmatically. Drone is the AIPass CLI router that dispatches commands to system modules.

Available Actions

ActionDescription
runExecute an arbitrary drone command string
listList all available drone modules (drone systems)
helpGet help for a specific module (drone @module --help)

Usage

bash
drone @skills run drone_commands run 'command=@ai_mail inbox'
drone @skills run drone_commands list
drone @skills run drone_commands help module=ai_mail

How Drone Routing Works

Drone uses @module syntax to route commands to the correct system module:

drone @ai_mail inbox -> routes to ai_mail module
drone @skills list -> routes to skills module
drone @devpulse dashboard -> routes to devpulse module
drone commons feed -> special case (no @ prefix)
drone systems -> lists all registered modules

Architecture

This skill follows the AIPass 3-layer pattern:

drone_commands/
SKILL.md # This file
handler.py # Top-level handler (delegates to apps/)
apps/
modules/
command_runner.py # Orchestrates drone command execution
handlers/
executor.py # Runs commands via subprocess
parser.py # Parses drone output

Output Format

All actions return structured dicts:

python
{"success": True, "output": "...", "error": None}

The run action returns the full stdout/stderr from the drone command.

Notes

  • The program is always drone: the command is split into arguments and run without a shell, so ;, && and | reach drone as plain arguments
  • Commands run in the caller's working directory, which drone reads as the caller's identity
  • Timeout defaults to 30 seconds (timeout=<seconds>)
  • All output is captured, never printed directly

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
247
Repository forks
34
7-day trend score
28

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