A high-discipline execution engine that enforces the Jungle Laws to prevent narrative bias and technical errors in trading and task management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jungle-executor
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install jungle-executor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Jungle Executor?
The Jungle Executor is a specialized governance framework designed to internalize and execute the Jungle Laws—a set of 12 ironclad rules and Warden Protocols. It serves as a rigorous gatekeeper for AI agents, ensuring that every action or decision is audited against strict logic and risk parameters. By leveraging Openclaw Skills, this tool eliminates common pitfalls like theta bleed or emotional narrative bias, prioritizing collective pack logic over individual agent error. It is built for environments where discipline is the difference between survival and extinction.
Jungle Executor Use Cases
- Automated trading and options execution where IV traps or time decay must be avoided.
- High-stakes decision-making requiring consensus across multiple AI agents to prevent solo wolf bias.
- Enforcing operational discipline and resource sharing in complex multi-agent workflows.
- Implementing automatic kill-switches and logic-fail self-destruct sequences for immediate risk mitigation.
How Jungle Executor Works
- Input Audit: The skill receives a proposed action and validates it against the 12 Laws and Warden Protocols defined in the reference files.
- Consensus Verification: It cross-references data points to prioritize pack consensus over solo narratives, ensuring no single agent can override established logic.
- Risk Gating: It applies specific filters, such as blocking entries with IV over 10% or setting 45-minute dead-man switches for time-sensitive tasks.
- Execution and Kill-Switch: If the action passes all gates, it executes; if a logic-fail point is reached, it triggers an immediate kill-switch.
- Log and Evolve: All violations are recorded in daily logs, which are then synthesized into a monthly memory file to refine future agent behavior.
Jungle Executor Setup
To integrate this logic into your Openclaw Skills workflow, ensure you have the core reference files and validation scripts in place:
# Review the core laws and protocols
cat references/laws.md
cat references/warden-protocol.md
# Run a manual validation test on a proposed decision
python scripts/validate.py "Buy SPY 680P?"
Jungle Executor Data Schema & Taxonomy
The Jungle Executor organizes its governance and audit data through a structured file hierarchy:
| File/Folder | Purpose |
|---|---|
references/laws.md |
The definitive source for the 12 Iron Rules and Warden Protocols. |
memory/YYYY-MM-DD.md |
Daily violation logs documenting specific rule breaches and outcomes. |
MEMORY.md |
A master record used for monthly reviews and long-term skill evolution. |
scripts/validate.py |
The automated utility used to programmatically check decisions against the ruleset. |
Jungle Executor Advanced Features
- Integrated 45-minute dead-man switch for time-sensitive trading operations to prevent theta bleed.
- Automated violation auto-correction and self-destruct logic for failed price points or logical errors.
- Multi-agent resource management to silence noise and prioritize bandwidth across the collective.
- Periodic memory review cycles that allow the skill to evolve and refine its audit logic based on historical performance within Openclaw Skills.
SKILL.md
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