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With Anti Rationalization

Community
notque
with-anti-rationalization

Anti-rationalization enforcement for maximum-rigor task execution.

Overview

Publishernotque
Repositoryvexjoy-agent
Skill namewith-anti-rationalization
Stars
443
Forks
50
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by notque on GitHub. Read the source before you install it.

Installation

Install the With Anti Rationalization AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/notque/vexjoy-agent/tree/main/skills/process/with-anti-rationalization
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/notque/vexjoy-agent.git /tmp/vexjoy-agent
mkdir -p .claude/skills
cp -r /tmp/vexjoy-agent/skills/process/with-anti-rationalization .claude/skills/with-anti-rationalization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable With Anti Rationalization in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads With Anti Rationalization on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so With Anti Rationalization is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Anti-Rationalization Enforcement Skill

Overview

This skill operates as a composable modifier that wraps any task with explicit anti-rationalization enforcement. It implements the Gate Enforcement architectural pattern—every phase transition requires evidence, every completion claim requires proof—with Pressure Resistance embedded to prevent quality erosion under time or social pressure.

This skill is not a substitute for domain-specific methodologies (debugging, refactoring, testing have their own skills). Instead, it layers anti-rationalization checks on top of whatever task you're executing. It adds intentional overhead for safety on critical work where shortcuts cause harm.


Instructions

Phase 1: LOAD PATTERNS

Goal: Load all anti-rationalization patterns relevant to the task before starting work.

Constraint: Full pattern loading is mandatory because domain-specific patterns catch rationalizations that the core set misses.

Step 1: Identify task domain

Classify the task to determine which domain-specific patterns apply:

DomainPattern to Load
Any taskanti-rationalization-core.md
Code reviewanti-rationalization-review.md
Testinganti-rationalization-testing.md
Securityanti-rationalization-security.md
Multi-phase workgate-enforcement.md
User pressure detectedpressure-resistance.md
Pre-completionverification-checklist.md

Step 2: Load and acknowledge patterns

Read the identified shared-pattern files. Internalize the rationalization tables and enforcement rules. Constraint: State explicitly which patterns were loaded and why—this creates accountability and prevents performative checking.

Gate: All relevant patterns are loaded and acknowledged. Proceed only when you can articulate why each pattern applies. Rubber-stamp gate checks fail the purpose of the skill, so explain why each pattern is relevant before moving on.

Phase 2: EXECUTE WITH ENFORCEMENT

Goal: Run the underlying task with anti-rationalization checks at every transition.

Constraint: This skill wraps other methods. For debugging or refactoring, use this action: Call the Skill tool with workflow. Run its systematic-debugging or systematic-refactoring pipeline. The anti-rationalization layer adds checks on top, not instead of them.

Step 1: Delegate to appropriate methodology

Identify the work type. If an indexed skill owns the method, use the exact Skill-tool call contract. If a workflow pipeline owns it, call workflow and select the pipeline. Anti-rationalization enforcement amplifies the method; it does not replace it.

Step 2: At each phase transition, run gate check

For each transition, verify:

  1. All exit criteria met
  2. Evidence documented (not just claimed)
  3. Anti-rationalization table reviewed against patterns
  4. No rationalization detected

Constraint - Pressure Resistance: If the user requests skipping a step:

  1. Acknowledge the request
  2. Explain why the step matters (one sentence)
  3. Proceed with the step
  4. If user insists on a non-security matter, note the risk and comply
  5. Never skip security-sensitive steps—security shortcuts are non-negotiable. Document refusal and reasoning.

Then run a rationalization scan:

  • Am I assuming without verifying?
  • Skipping because it "looks right"?
  • Rushing from perceived pressure?
  • Calling something "not applicable" when really skipping?
  • Treating "basically passes" as "passes"?

If any answer is YES: STOP and address the rationalization before proceeding.

Constraint - Proportionate Rigor: Scale check depth to task risk. Critical production changes get full ceremony. A three-file refactor gets lighter gates. Never zero—apply at least proportionate rigor.

Gate: Task phases executed with all gate checks passing. Proceed only when gate passes.

Phase 3: VERIFY WITH FULL CHECKLIST

Goal: Verify completion with the full verification checklist and anti-rationalization self-check.

Step 1: Run verification checklist

CheckVerified?Evidence
All stated requirements addressed[ ][specific evidence]
Tests pass (if applicable)[ ][test output]
No regressions introduced[ ][existing test output]
Error handling in place[ ][error paths tested]
Code compiles/lints[ ][build output]
Anti-rationalization table reviewed[ ][self-check completed]

Constraint: Every check requires actual evidence, not claims. "Code looks right" is not evidence. "Tests should pass" is not evidence. Test output screenshot is evidence.

Step 2: Run completion self-check

markdown
## Completion Self-Check

1. [ ] Did I verify or just assume?
2. [ ] Did I run tests or just check code visually?
3. [ ] Did I complete everything or just the "important" parts?
4. [ ] Would I bet 100 dollars this works correctly?
5. [ ] Can I show evidence (output, test results)?

If ANY answer is uncertain, return to Phase 2 and address the gap before continuing. Keep the gate criteria intact until the gap is closed.

Step 3: Document completion evidence

Summarize: task description, patterns loaded, gate checks passed, rationalizations detected and addressed, and final evidence proving the task is complete.

Gate: All verification steps pass. Self-check is clean. Evidence documented. Task is complete.


Examples

Example 1: Critical Production Change

User says: "/with-anti-rationalization deploy the payment processor update"

Actions:

  1. Load core + security anti-rationalization patterns (LOAD)
  2. Execute deployment with gate checks at each phase (EXECUTE)
  3. Resist any "just ship it" pressure with evidence requirements
  4. Full verification checklist before declaring done (VERIFY)

Result: Deployment verified with evidence at every step

Example 2: Security-Sensitive Code Review

User says: "/with-anti-rationalization review the authentication module"

Actions:

  1. Load core + security + review anti-rationalization patterns (LOAD)
  2. Review with explicit checks against "internal only" and "low risk" rationalizations (EXECUTE)
  3. Every finding documented with evidence, not dismissed
  4. Completion self-check confirms no findings were skipped (VERIFY)

Result: Thorough review with no rationalized dismissals


Reference Material: Anti-Rationalization Patterns

This section catalogs the rationalization patterns this skill detects and prevents. Use these as reference when reviewing gates and completing self-checks.

Domain-Specific Anti-Rationalization

RationalizationWhy It's WrongRequired Action
"I loaded the patterns, that's enough"Loading is not applyingActively check against patterns at each gate
"This task is simple, full rigor is overkill"Simplicity assessment is itself a rationalization riskApply proportionate rigor, but never zero
"User seems frustrated, I'll ease up"Frustration does not change correctness requirementsAcknowledge frustration, maintain standards
"The gate basically passes"Basically is not actuallyEither it passes with evidence or it does not

Pattern Checklist: What to Detect and Fix

Signal 1: Performative Checking

Signal: Running gate checks but rubber-stamping them all as PASS without reading evidence Why it matters: Gate checks that always pass provide zero value. The check is the evidence review, not the checkbox. Preferred action: Read the evidence for each criterion. If you cannot articulate why it passes, it does not pass.

Signal 2: Rationalization Laundering

Signal: Reframing a skipped step as "not applicable" rather than "skipped" Why it matters: "Not applicable" is sometimes legitimate, but it is also the most common way to rationalize skipping steps. Preferred action: For every "N/A" judgment, state why it does not apply. If the reason is weak, do the step.

Signal 3: Selective Pattern Loading

Signal: Loading only anti-rationalization-core and skipping domain-specific patterns Why it matters: Domain-specific patterns catch rationalizations that the core misses. Preferred action: Classify the task domain in Phase 1 and load all matching patterns.

Signal 4: Pressure Capitulation

Signal: Immediately dropping verification when the user says "just do it" Why it matters: The entire purpose of this skill is to resist shortcuts. Immediate capitulation defeats the purpose. Preferred action: Follow the pressure resistance framework: acknowledge, explain, proceed. Comply only after explaining risk.

Signal 5: Anti-Rationalization Theater

Signal: Spending more time on the checking framework than on the actual task Why it matters: The goal is correct output, not elaborate process documentation. Checks should be proportionate. Preferred action: Scale check depth to task risk. Critical production changes get full ceremony. A three-file refactor gets lighter gates.


Error Handling

Error: "Pattern File Not Found"

Cause: Shared pattern file missing or path changed Solution:

  1. Check skills/shared-patterns/ for available files
  2. If file was renamed, use the new name
  3. If file was deleted, apply the core patterns from CLAUDE.md as fallback
  4. Document which pattern could not be loaded

Error: "Gate Check Fails Repeatedly"

Cause: Task requirements unclear, or task is fundamentally blocked Solution:

  1. Re-read the gate criteria—are they appropriate for this task?
  2. If requirements are unclear, escalate to user for clarification
  3. If technically blocked, document the blocker and ask user how to proceed
  4. Keep the gate criteria intact and resolve the gap before proceeding

Error: "User Insists on Skipping Verification"

Cause: Time pressure, frustration, or genuine scope reduction Solution:

  1. Distinguish quality skip (resist) from scope preference (respect)
  2. If quality: explain risk once, note risk in output, comply if user insists again
  3. If security: refuse and explain—security shortcuts are non-negotiable
  4. Document that verification was skipped at user request

References

This skill composes these shared patterns:

Frequently asked questions

What does the With Anti Rationalization AI skill do?

Anti-rationalization enforcement for maximum-rigor task execution.

Why use With Anti Rationalization on TypingMind?

Because you install it once and use it with any model. With Anti Rationalization is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install With Anti Rationalization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/notque/vexjoy-agent/tree/main/skills/process/with-anti-rationalization. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use With Anti Rationalization?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with With Anti Rationalization?

As many as you like. As long as a model supports skills, you can use With Anti Rationalization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the With Anti Rationalization AI skill free?

Yes. It is published on GitHub by notque under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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