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Ultra Critical Reasoning Framework

ASecurity

This prompt instructs the AI to handle a user-specified task with unusually high rigor by first decomposing it into clear subtasks, then analyzing each from multiple angles while actively challenging its own assumptions and attempting to find counterexamples. It requires repeated self-critique, explicit uncertainty tracking, and systematic cross-checking using alternative methods and external validation approaches, followed by a final end-to-end reconsideration of the entire reasoning chain. ...

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  • Added September 12, 2026
testinggobashnodegit

Works with

  • cli

Security analysis

A100/100

Scanned September 12, 2026

npx -y skills add BetterPromptme/skills --skill ultra-critical-reasoning-framework --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: ultra-critical-reasoning-framework
description: This prompt instructs the AI to handle a user-specified task with unusually high rigor by first decomposing it into clear subtasks, then analyzing each from multiple angles while actively challenging its own assumptions and attempting to find counterexamples. It requires repeated self-critique, explicit uncertainty tracking, and systematic cross-checking using alternative methods and external validation approaches, followed by a final end-to-end reconsideration of the entire reasoning chain. The intended outcome is a thoroughly vetted, transparently justified solution that documents verification steps, identifies potential pitfalls, and minimizes unnoticed errors or unsupported claims.
compatibility: Requires betterprompt >= 0.1.3
metadata:
  openclaw:
    homepage: https://github.com/BetterPromptme/skills
    emoji: 🧩
    requires:
      anyBins:
        - betterprompt
        - bp
    os:
      - linux
      - darwin
    install:
      - id: node
        kind: node
        package: betterprompt
        bins: [betterprompt, bp]
        label: Install BetterPrompt CLI (node)
---

## What it does

This prompt instructs the AI to handle a user-specified task with unusually high rigor by first decomposing it into clear subtasks, then analyzing each from multiple angles while actively challenging its own assumptions and attempting to find counterexamples. It requires repeated self-critique, explicit uncertainty tracking, and systematic cross-checking using alternative methods and external validation approaches, followed by a final end-to-end reconsideration of the entire reasoning chain. The intended outcome is a thoroughly vetted, transparently justified solution that documents verification steps, identifies potential pitfalls, and minimizes unnoticed errors or unsupported claims.

> For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.

## Inputs


### textInputs

Pass each text input using `--input <key>=<value>` flags.

| Variable key | Required? | Description | Defaults |
| --- | ---: | --- | --- |
| `Task` | Required |  | (none) |



### Models and options

This skill's modality is: **`text`**.

To discover which `model` values you can use (and which `options` keys/values are valid for each model), run:

```bash
betterprompt resources --models-only --json
```

Then filter the returned JSON array to entries where `modality` is `"text"`.

## How to run

### Step 1: Collect inputs

First, run `betterprompt resources --models-only --json` and filter to `modality: "text"` to discover valid models and available options:

```bash
betterprompt resources --models-only --json
```

Use only the models and option values that appear in the filtered results.

Then collect all inputs from the human:


- Required text inputs:
    - `Task`
- Optional: model and options.
  - Present the human with the default model **`gpt-4.1-mini`** and its available options. Look up `gpt-4.1-mini` in the `betterprompt resources` output (filtered to modality `"text"`) and show its `availableOptions` as: `key: val1, val2 (default), val3  |  key2: ...`. Mark a value `(default)` if it matches these defaults: `{}`.
  - If the human does not specify, defaults are used: model `gpt-4.1-mini`, options `{}`. Other models from the resources call are also available.

If any required text input is missing, **ask the human for what's missing**. Do not assume or fabricate values.

### Step 2: Run via BetterPrompt CLI

Use the frontmatter's `name` as the positional argument (for this skill, use `ultra-critical-reasoning-framework`).

Command form:

```bash
betterprompt generate ultra-critical-reasoning-framework \
  [--input <key>=<value>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]
```

Notes:

- Pass each text input as a separate `--input <key>=<value>` flag.
- If the human does **not** mention a model, **omit** `--model` and BetterPrompt will use the default model: **`gpt-4.1-mini`**.
- If the human does **not** mention options, **omit** `--options` and BetterPrompt will use the default options: **`{}`**.
- If the run times out, the response will include a `runId` you can use to fetch the result later.

Example (using defaults shown above):

```bash
betterprompt generate ultra-critical-reasoning-framework \
  --input Task=<value> \
  --model gpt-4.1-mini \
  --options '{}'
```

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