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What you can do with Falsify the Problem

falsify-the-problem is an open-source Agent Skill, delivered as one SKILL.md file, that challenges a problem framing with cheap evidence before any solution is designed.

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3 use cases

  • Test a proposed fix before anyone builds it

    Check whether a requested fix, such as a cache, targets the real cause of a problem.

    View prompt
    Use the falsify-the-problem skill in this repo on this problem: <the latency problem and the proposed fix>. Inspect the locally available evidence, separate observations from assumptions, and return one verdict with its handoff status. Verify that no implementation has started before the verdict is given.
  • Find out why users stop returning before building reminders

    Test whether users forgot the product or never got value from it.

    View prompt
    Use the falsify-the-problem skill on this retention problem: <the retention data and the proposed push notifications>. Identify the current framing and materially different alternatives, then name one primary discriminating test. Verify that the output lists which observations are facts and which are assumptions.
  • Check for an input mismatch before blaming the model

    Test whether training and evaluation inputs differ before attributing poor results to model capacity.

    View prompt
    Use the falsify-the-problem skill on this experiment: <the experiment, the saved inputs, and the training and evaluation preprocessing code>. Test whether an input-path mismatch contributes before attributing the result to model capability. Verify that the output names the single primary discriminating test used in each round.

How to use Falsify the Problem

  1. Check you have what it needs: Git installed on your machine; A terminal for the install commands, separate from the agent prompt; A host agent that supports Agent Skills or reusable Markdown instructions, such as Codex.
  2. Open ordinary-s/falsify-the-problem on GitHub and read the README and license.
  3. Open a terminal in the root of your project.
  4. mkdir -p .agents/skills
  5. git clone https://github.com/ordinary-s/falsify-the-problem.git .agents/skills/falsify-the-problem
  6. In the Codex prompt, type $ and select Falsify the Problem, or use /skills. If it does not appear, restart Codex.

These steps come from our top use case, Test a proposed fix before anyone builds it, which also has a copy-paste agent prompt.

Falsify the Problem alternatives · Best AI repos for Work and operations

About this repo

Requirements

  • Git installed on your machine
  • A terminal for the install commands, separate from the agent prompt
  • A host agent that supports Agent Skills or reusable Markdown instructions, such as Codex

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Questions about Falsify the Problem

What is Falsify the Problem?

falsify-the-problem is an open-source Agent Skill, delivered as one SKILL.md file, that challenges a problem framing with cheap evidence before any solution is designed. It is an open-source project on GitHub: https://github.com/ordinary-s/falsify-the-problem.

Who is Falsify the Problem for?

Engineers, product managers, and researchers who want an AI agent to test whether they are solving the right problem before they build a fix.

What can I do with Falsify the Problem?

3 use cases so far, for example: Test a proposed fix before anyone builds it; Find out why users stop returning before building reminders; Check for an input mismatch before blaming the model. Each has steps and a copy-paste agent prompt.

What do I need to run Falsify the Problem?

Git installed on your machine; A terminal for the install commands, separate from the agent prompt; A host agent that supports Agent Skills or reusable Markdown instructions, such as Codex.

What are alternatives to Falsify the Problem?

Other hot AI repos in Work and operations: Spynel, Agents Office, Knowledge Work Plugins, Itsaplan, Endoplexity.

Is Falsify the Problem safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.