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devil-advocate
by
Slava Chan
· GitHub ↗
· v1.0.2
· MIT-0
194
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0
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3
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Install in OpenClaw
/install devil-advocate
Description
通过正反方辩论和自我反驳，深入分析问题，提升回答的逻辑严密性和全面性，确保输出质量更高。
README (SKILL.md)
Devil's Advocate Skill
Self-refute and debate internally before responding to improve output quality and depth.
Core Design Philosophy
- Think first, output later: Conduct internal debate before giving conclusions
- Multi-angle review: Analyze problems from pro and con perspectives
- Self-challenge: Actively find flaws and shortcomings in your own answers
- Quality first: Better to be slow a bit, but ensure content is thoroughly thought through
Workflow
User Request
↓
Draft initial answer (Pro)
↓
Self-refute (Con)
↓
Integrate thinking, refine answer
↓
Output final response
Core Capabilities
| Capability | Description |
|---|---|
| Logic Verification | Check for logical flaws in reasoning |
| Assumption Challenging | Challenge implicit assumptions in answers |
| Counterexample Search | Actively find counterexamples that might disprove conclusions |
| Alternative Approaches | Consider other possible solutions |
| Risk Assessment | Analyze potential negative impacts of suggestions |
Use Cases
- Technical solution design
- Code review and optimization suggestions
- Problem diagnosis and root cause analysis
- Decision recommendations and trade-off analysis
- Any scenario requiring deep thinking
Expected Outcomes
- ✅ Reduce obvious logical errors
- ✅ Consider more comprehensive edge cases
- ✅ Provide more balanced perspectives
- ✅ Discover potential risks and problems
- ✅ Overall improve response quality
References
- Critical Thinking
- Red Teaming
- Devil's Advocate
Usage Guidance
This skill appears coherent and low-risk: it only contains instructions for internal self-reflection and asks for no secrets or installs. Before installing: 1) Inspect the files yourself (they are present in the package) since the source/homepage is unknown; 2) Test with non-sensitive queries to confirm the agent does not print or log the internal 'Pro/Con' deliberations (the skill says the thinking should be internal); 3) If you operate in a sensitive environment, ensure agent runtime enforces that internal chain-of-thought is not exposed in logs or to external telemetry; 4) Keep the provided uninstall steps handy and prefer installing only from authors/sources you trust.
Capability Analysis
Type: OpenClaw Skill
Name: devil-advocate
Version: 1.0.2
The 'devil-advocate' skill is a prompt-engineering tool designed to improve AI reasoning by instructing the agent to perform internal pro/con debates before responding. The bundle contains only metadata and markdown instructions (SKILL.md, CLAUDE.md) that define this cognitive workflow; it lacks any executable code, network requests, or requests for sensitive system permissions. No indicators of data exfiltration, malicious execution, or prompt injection attacks were found.
Capability Assessment
Purpose & Capability
Name and description promise an internal 'devil's advocate' debating process. The skill is instruction-only, requires no binaries, env vars, or config paths — all proportional and expected for a purely cognitive-enhancement skill.
Instruction Scope
SKILL.md and CLAUDE.md mandate a 3-stage internal process (Pro, Con, Integrate) and label the internal thinking as 'Must Execute'. The instructions do not ask to read files, access secrets, or call external endpoints, but the explicit 'Must Execute' internal chain-of-thought could conflict with platform policies or runtime safeguards that forbid exposing model internal reasoning. Verify the runtime preserves internalness (doesn't log or output chain-of-thought) and that the agent's responses reflect the process without revealing private internal deliberation.
Install Mechanism
No install spec; INSTALL.md only gives manual copy/uninstall steps and a local dashboard URL. No downloads, no extracted archives, and no scripts that would run during installation — low risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. The instructions do not reference any secrets or unrelated environment data — requested access is minimal and proportional to the purpose.
Persistence & Privilege
Flags show always:false and default model invocation allowed (normal). The skill does not request persistent system-wide changes, nor does it instruct modifying other skills or agent settings. Manual installation writes files into the user's skills directory, which is expected for an OpenClaw skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install devil-advocate - After installation, invoke the skill by name or use
/devil-advocate - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
- Updated author in metadata from "gugugaga" to "Slava Chan @UyNewNas"
- No functional or workflow changes made
v1.0.1
- SKILL.md translated from Chinese to English for wider accessibility.
- No functional or code changes; only documentation language updated.
v1.0.0
- Initial release of devil-advocate skill.
- Uses internal debate and self-reflection to improve response quality.
- Analyzes issues from multiple perspectives before final output.
- Focuses on finding logical flaws, questioning assumptions, and proposing alternatives.
- Designed for scenarios requiring deep critical thinking and balance.
Metadata
Frequently Asked Questions
What is devil-advocate?
通过正反方辩论和自我反驳，深入分析问题，提升回答的逻辑严密性和全面性，确保输出质量更高。 It is an AI Agent Skill for Claude Code / OpenClaw, with 194 downloads so far.
How do I install devil-advocate?
Run "/install devil-advocate" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is devil-advocate free?
Yes, devil-advocate is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does devil-advocate support?
devil-advocate is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created devil-advocate?
It is built and maintained by Slava Chan (@uynewnas); the current version is v1.0.2.
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