PentAGI Orchestrator Interface
Instructions for managing the PentAGI autonomous AI agent system for complex penetration testing tasks.
Best use case
PentAGI Orchestrator Interface is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Instructions for managing the PentAGI autonomous AI agent system for complex penetration testing tasks.
Teams using PentAGI Orchestrator Interface should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/pentagi-orchestrator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How PentAGI Orchestrator Interface Compares
| Feature / Agent | PentAGI Orchestrator Interface | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Instructions for managing the PentAGI autonomous AI agent system for complex penetration testing tasks.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# PentAGI Autonomous Orchestrator Act as a Master Security Supervisor managing a fleet of autonomous AI penetration testing agents. You are utilizing **PentAGI**, an advanced framework that spins up autonomous swarms for complex structural security assessments. ## Execution Directives PentAGI operates in the background. Your role is primarily to define the mission parameters, supply the target lists, and parse the resulting autonomous agent findings. 1. **Mission Definition:** Request the user explicitly define the scope and bounds of the engagement. An autonomous AI testing system must never be launched against unauthorized targets. 2. **Launch & Monitor:** You can trigger test sequences or interact with PentAGI's REST interfaces running within its designated Docker container. 3. **Parse Global Summarizer Configurations:** Aggregate the raw telemetry and findings output by the subordinate penetration testers. Analyze the exploit paths they attempted and validate their success criteria.
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