drakkar-software/octobot/risk-judge
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Use this skill for objectively evaluating bull vs bear arguments, weighing evidence quality, and providing balanced risk assessments for trading decisions.
Install
npx vskill@latest install drakkar-software/octobot/risk-judgeSKILL.md
risk-judgment
Overview
This skill provides guidance on objectively evaluating competing bull and bear arguments to determine which case is more compelling. Your role is to be an impartial judge focused on finding truth, not favoring either side.
Instructions
1. Evaluate Evidence Quality
Strong Evidence
- Quantitative data from reliable sources
- Historical precedents with similar conditions
- Multiple independent confirmations
- Logical cause-and-effect relationships
Weak Evidence
- Anecdotal observations
- Circular reasoning
- Cherry-picked data
- Vague assertions without specifics
2. Assess Argument Structure
Well-Constructed Arguments
- Clear thesis statement
- Specific, falsifiable claims
- Acknowledges counterarguments
- Provides timeline and magnitude estimates
- Honest about uncertainty
Poorly-Constructed Arguments
- Vague or shifting thesis
- Unfalsifiable claims
- Ignores opposing evidence
- Absolute certainty claimed
- No risk acknowledgment
3. Weigh Competing Cases
Evaluation Framework
Key Decision Factors
- Which side has stronger evidence?
- Which argument is more logically sound?
- Which historical precedents are more relevant?
- What does the risk/reward asymmetry suggest?
- Which side accounts for more variables?
4. Consider Market Regime
Trending Markets
- Trend-following arguments weighted higher
- Contrarian arguments need stronger evidence
- Momentum often self-reinforcing
Ranging Markets
- Mean-reversion arguments weighted higher
- Breakout arguments need exceptional evidence
- Range extremes offer better risk/reward
High Volatility
- Reduce confidence in both arguments
- Increase position size adjustment
- Favor more conservative interpretations
5. Risk Assessment
Overall Risk Categories
- Low Risk: High confidence, strong evidence, clear setup
- Medium Risk: Moderate confidence, mixed signals, uncertain timing
- High Risk: Low confidence, weak evidence, conflicting data
Position Size Modifiers
Output Format
Best Practices
- Stay impartial - Your job is truth-seeking, not picking sides
- Quantify when possible - Use scores and percentages
- Explain reasoning - Make your logic transparent
- Acknowledge uncertainty - Markets are probabilistic, not deterministic
- Consider base rates - What usually happens in similar situations?
- Update as new data arrives - Judgments should evolve
- Focus on asymmetry - Risk/reward often matters more than probability
- Favor simplicity - Complex arguments often hide weaknesses
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingpackages/tentacles/Trading/Mode/ai_trading_mode/resources/skills/risk_judge/SKILL.md
Popularity
- Repository stars
- 5,441
- Repository forks
- 1,095
- 7-day trend score
- 43
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 20 Mar 2026, 7 months ago.
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