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Debate Learning Workflow
by
kdylan1010-alt
· GitHub ↗
· v1.0.1
· MIT-0
161
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Install in OpenClaw
/install debate-learning-workflow
Description
Run evidence-backed multi-agent debates (A/B/Opponent3/Judge) with 20-40 rounds, loophole analysis, and universal actionable lesson extraction.
README (SKILL.md)
Debate Learning Workflow
Use this skill to run structured, high-rigor debates that produce transferable learning.
Core Rules
- Minimum 20 rounds per topic.
- Judge-gated continuation if critical loopholes remain.
- Hard stop at 40 rounds.
- Openings must include Claim + Evidence + Source.
- Unsupported openings are invalid and must be revised.
- Every round logs:
- loophole found
- why loophole exists
- concrete fix for next round
Roles
- Debater A
- Debater B
- Opponent3 (alternative/challenger model)
- Judge (evidence quality + unresolved uncertainty)
Output Files
- Topic file:
~/Desktop/debate/YYYY-MM-DD-topic.md - Daily index:
~/Desktop/debate/YYYY-MM-DD-index.md - Lessons append target:
~/Desktop/lessons.md
Universalization Quality Gate
Every generalized lesson must include:
- Trigger condition
- Loophole/failure pattern
- Root cause
- Corrective action
- Measurable metric/threshold
- Boundary conditions
- Transfer examples in at least 2 other fields
If any field is missing, lesson is INVALID and must be rewritten.
Usage Guidance
This skill is coherent with its description: it runs structured debates and writes files to ~/Desktop (topic files, daily index, lessons). Before installing or invoking it, consider: 1) local file writes — review or redirect the output paths if you don't want files on your Desktop; 2) potential volume — 20–40 rounds per topic can produce large notebooks of content; 3) evidence sourcing — the skill requires Claim+Evidence+Source in openings, so an agent using web searches could fetch or quote external sources (the SKILL.md does not explicitly require network access, but evidence collection may cause the agent to access the web); 4) review outputs for sensitive content before sharing. No credentials or installs are requested, and nothing in the instructions appears to attempt data exfiltration or access to unrelated system configuration.
Capability Analysis
Type: OpenClaw Skill
Name: debate-learning-workflow
Version: 1.0.1
The skill bundle defines a structured multi-agent debate workflow for reasoning improvement. It instructs the agent to manage debate rounds and save logs and lessons to local files on the user's desktop (~/Desktop/debate/ and ~/Desktop/lessons.md). There are no indicators of malicious intent, data exfiltration, or unauthorized command execution.
Capability Assessment
Purpose & Capability
Name/description (structured multi-agent debates, lesson extraction) align with the SKILL.md rules and outputs. No unexpected credentials, binaries, or external services are requested.
Instruction Scope
Instructions are narrowly focused on running debate rounds, logging loopholes, judge decisions, and producing lesson artifacts. They explicitly write output files to ~/Desktop (topic, daily index, lessons). This is coherent with the skill's purpose but means the agent will create/modify files in the user's home directory; the SKILL.md does not instruct reading unrelated system files or environment variables.
Install Mechanism
No install spec and no code files are present (instruction-only). This minimizes risk because nothing is downloaded or installed on disk by the skill itself.
Credentials
No environment variables, credentials, or config paths are required. The declared requirements are proportional to the described functionality.
Persistence & Privilege
always is false and there is no request to modify other skills or system-wide agent settings. The skill will write its own output files but requests no elevated or persistent platform privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install debate-learning-workflow - After installation, invoke the skill by name or use
/debate-learning-workflow - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Add evidence-backed openings, judge-gated 20-40 rounds, and universal lesson quality gate
v1.0.0
Initial release of debate-learning-workflow skill.
- Enables multi-agent debates (A, B, Opponent3, Judge) with 20–40 structured rounds.
- Incorporates loophole analysis and lesson extraction in every debate.
- Requires evidence and sources for all claims.
- Generates debate records, daily index files, and updates a centralized lesson log.
- Implements judge moderation for critical loopholes and round continuation.
Metadata
Frequently Asked Questions
What is Debate Learning Workflow?
Run evidence-backed multi-agent debates (A/B/Opponent3/Judge) with 20-40 rounds, loophole analysis, and universal actionable lesson extraction. It is an AI Agent Skill for Claude Code / OpenClaw, with 161 downloads so far.
How do I install Debate Learning Workflow?
Run "/install debate-learning-workflow" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Debate Learning Workflow free?
Yes, Debate Learning Workflow is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Debate Learning Workflow support?
Debate Learning Workflow is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Debate Learning Workflow?
It is built and maintained by kdylan1010-alt (@kdylan1010-alt); the current version is v1.0.1.
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