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Debate Learning Workflow
作者
kdylan1010-alt
· GitHub ↗
· v1.0.1
· MIT-0
161
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install debate-learning-workflow
功能描述
Run evidence-backed multi-agent debates (A/B/Opponent3/Judge) with 20-40 rounds, loophole analysis, and universal actionable lesson extraction.
使用说明 (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.
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install debate-learning-workflow - 安装完成后，直接呼叫该 Skill 的名称或使用
/debate-learning-workflow触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Debate Learning Workflow 是什么？
Run evidence-backed multi-agent debates (A/B/Opponent3/Judge) with 20-40 rounds, loophole analysis, and universal actionable lesson extraction. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 161 次。
如何安装 Debate Learning Workflow？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install debate-learning-workflow」即可一键安装，无需额外配置。
Debate Learning Workflow 是免费的吗？
是的，Debate Learning Workflow 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Debate Learning Workflow 支持哪些平台？
Debate Learning Workflow 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Debate Learning Workflow？
由 kdylan1010-alt（@kdylan1010-alt）开发并维护，当前版本 v1.0.1。
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