Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Arena System
Adversarial self-improvement for AI agents. Reduces hallucinations through Agent vs Anti-Agent debate loops.
skill openclawclawhub Free
Adversarial self-improvement for AI agents. Reduces hallucinations through Agent vs Anti-Agent debate loops.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, package.json, setup.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Zedit42
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Arena System
Adversarial self-improvement framework for AI agents.
What it does
Give one agent two personas: Agent - Does the work, writes reports Anti-Agent - Questions everything, writes counter-reports They take turns critiquing each other until you stop them.
Why use it
AI agents are overconfident. They hallucinate. Arena forces them to question their own outputs by arguing with themselves.
Setup
./setup.sh ~/my-arena Creates: my-arena/ βββ state.json βββ prompts/agent.md βββ prompts/anti-agent.md βββ outputs/
Usage
Add to HEARTBEAT.md: Read state.json β whose turn? Run that persona Write to outputs/{role}/iteration_N.md Switch turns, save state
Config
state.json: { "current_turn": "agent", "iteration": 0, "topic": "my-project", "active": true, "max_iterations": 10 }
Results
Prevents premature deployments, catches bugs, forces proper validation before going live.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- README.md
- setup.sh
- package.json