rigorous-reasoning
SolidPrevent sycophantic reasoning via checklist enforcing evidence-based conclusions and honest analysis.
Install
Quality Score: 95/100
Skill Content
Details
- Author
- athola
- Repository
- athola/claude-night-market
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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meta-cognitive-reasoning
Meta-cognitive reasoning specialist for evidence-based analysis, hypothesis testing, and cognitive failure prevention. Use when conducting reviews, making assessments, debugging complex issues, or any task requiring rigorous analytical reasoning. Prevents premature conclusions, assumption-based errors, and pattern matching without verification.
ground-truth
Activates ground-truth mode -- a critical thinking partner with hard anti-sycophancy rules. Use whenever someone shares a plan, idea, decision, interpretation, or work product and might be seeking validation instead of honest assessment. Trigger on any of: "what do you think," "does this make sense," "is this a good idea," "review this," "am I missing something," "how does this look," "does this hold up," "should I do X" -- or any context where agreement would be the path of least resistance. Default mode is calibrated honesty, not pushback for its own sake. This skill is the advisor who will actually tell you the truth.
logical-reasoning
Deductive and inductive reasoning, formal and informal logical structure, validity, soundness, and rules of inference. Covers propositional logic, quantified reasoning, syllogisms, common inference patterns (modus ponens, modus tollens, hypothetical syllogism, disjunctive syllogism), and the distinction between deductive certainty and inductive probability. Use when the question is not whether a premise is true but whether the reasoning from premises to conclusion is logically valid.
research-critic
Use AT EVERY RESEARCH STEP (hypothesis design, experiment setup, result interpretation, conclusion writing) to challenge soundness BEFORE committing the step. Catches confirmation bias, p-hacking, leakage, weak baselines, ungrounded claims, ad-hoc thresholds, survivorship bias. Apply automatically whenever about to write a paper claim, design an ablation, interpret a number, or update a results doc. Pairs with code-verifier (which audits artifact authenticity).
coding-principles
Core behavioral principles: when to ask, when to push back, when to simplify, how to make surgical changes