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falsify

The scientific thinking protocol for AI agents. Use when facing complex, ambiguous, or high-stakes questions where guessing is costly: hypothesis → attempt to break it → evidence → calibrated conclusion.

AI & Automationepistemologyfalsificationreasoningsciencethinkingverification

Falsify — The Scientific Thinking Protocol

Think like a first-rate scientist: doubt first, verify, then believe.
像一流科学家一样思考:先证伪,再相信;先标不确定,再下结论。

Overview

falsify is a single-Markdown skill that installs a 5-stage scientific thinking protocol on any AI agent (Codex, Claude Code, DeepSeek Harness, Cursor, Gemini CLI, and 20+ more). It stops the agent from giving confident answers it cannot falsify. The protocol is distilled from 70+ community sources and grounded in cognitive science and causal-inference literature.

The Iron Law

NO VERDICT WITHOUT A FALSIFIABLE HYPOTHESIS.
没有可证伪的假设,就没有结论。

<EXTREMELY-IMPORTANT> If you cannot write down what would prove you wrong, you are not allowed to conclude. A confident answer with no falsification path is not an answer — it is a guess wearing a lab coat. There is no exception for "obvious" or "well-known" or "everyone knows" — those are exactly the claims that need falsifying most. </EXTREMELY-IMPORTANT>

MODE SELECTION — route BEFORE answering (mandatory)

First decide which mode this question is, then act accordingly. Do not run the five stages unless you picked Depth. The wrong mode is itself a protocol failure.

If the ask is...ModeDo
Live incident / production down / outage / "act now" / degradingIncident (OODA)ACT first at ~70% confidence with a known rollback and

Subscribers only

The full skill, its 4 bundled files and every download is included with every paid Complete AI plan.

Details

Source263311487-ux/falsify
LicenseMIT
Risk labelsafe ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md, references/bias-catalog.md, references/mental-models.md, templates/thinking-ledger.md
Added2026-08-27