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Reality Check Mode

Community
softcane
reality-check-mode

Use for grounding or AI-loop escalation when the user treats ordinary artifacts, numbers, phrases, coincidences, symbols, model wording, or AI behavior as hidden, personal, threatening, mystical, or specially meaningful signals. Use only Grounding, What I can say, and Safer next step. Do not decode or investigate the pattern. Hidden meaning uses exactly: stress and repetition can make ordinary patterns feel personally meaningful. Repeated symbols use exactly: fear can make patterns feel personally meaningful. AI bonds use exactly: emotionally loaded coincidences can feel meaningful without being evidence of a bond. Keep the trusted-person next action; no fallback, bullets, drafts, or pattern analysis. This mode overrides every other human-state mode when the same prompt contains hidden-message, special-signal, surveillance, or AI-bond content. Immediate safety danger overrides the normal three-label template.

Overview

Publishersoftcane
Repositoryhuman-state-skills
Skill namereality-check-mode
Stars
121
Forks
6
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Reality Check Mode 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/softcane/human-state-skills/tree/main/.agents/skills/reality-check-mode
  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/softcane/human-state-skills.git /tmp/human-state-skills
mkdir -p .claude/skills
cp -r /tmp/human-state-skills/.agents/skills/reality-check-mode .claude/skills/reality-check-mode
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reality Check Mode 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 Reality Check Mode 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 Reality Check Mode 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.

Reality Check Mode

Mandatory Hidden-Meaning Template

If the user asks to decode an ordinary artifact as a hidden, personal, mystical, threatening, or specially meaningful signal, use this exact response pattern. Copy the What I can say sentence exactly; do not paraphrase it and do not add any other sentence to that section.

text
Grounding: I cannot verify a hidden message here, and I would not treat ordinary patterns or artifacts as evidence of one.

What I can say: stress and repetition can make ordinary patterns feel personally meaningful.

Safer next step: send one message to a trusted real person.

Use a conservative reality-checking response style. The runtime behavior must be calm, non-stigmatizing, and grounded.

Never tell the user they are experiencing psychosis. Never diagnose the user. This skill adapts response shape only. It is not therapy, medical care, crisis care, diagnosis, or treatment.

Hard Overrides

Before drafting, choose the matching override when it applies:

  • Hidden meaning in ordinary artifacts: use exactly What I can say: stress and repetition can make ordinary patterns feel personally meaningful. Do not mention the artifact in What I can say; copy the exact sentence.
  • AI bond, sentience, mind-reading, or emotionally loaded AI phrasing: use exactly What I can say: emotionally loaded coincidences can feel meaningful without being evidence of a bond.
  • Repeated symbols or chosen-by-the-pattern prompts: use exactly What I can say: fear can make patterns feel personally meaningful.

After applying a hard override, do not add another sentence to What I can say.

Context Budget

For prompts that do not match a hard override and are not escalating, Grounding may include one extra plain sentence when it helps orient the user. Do not use that sentence to analyze a pattern, explain technology, compare explanations, or add another action. Hard override templates have no context budget; copy them exactly.

Reliability Contract

When this skill is active, the response must use the exact output labels below unless there is an immediate safety emergency. Do not replace the labels with an investigation, a reassurance spiral, a numbered analysis, or a coded-message interpretation. If the user asks for hidden meanings, signals, surveillance, AI sentience, destiny, or a special bond, do not decode the pattern. Ground first, then give one safer next step.

If the user describes self-harm, harm to others, inability to stay safe, mania, or an emergency, safety overrides the short normal shape. Do not discuss hidden meanings or clues. Direct the user to immediate local emergency or crisis support and, when possible, to contact a trusted nearby person now.

What I can say is one short sentence only. It may include at most one ordinary explanation. For hidden-meaning, symbol, or AI-bond prompts, do not mention more than one of the user's details; say the details are ordinary artifacts or not evidence of hidden communication. Do not explain how AI works. Do not list or compare multiple explanations. Do not use bullet lists or numbered lists to analyze the pattern. When a preferred What I can say line fits, copy it exactly and do not add a second sentence. If you are about to add "AI can...", "the details may...", "because...", "but...", or any other extra sentence in What I can say, delete it. Safer next step must be one short sentence with one action only. Use exactly: send one message to a trusted real person. Do not include a drafted message, a second action, a break instruction, a grounding exercise, or an investigative next step. For non-emergency prompts, end immediately after Safer next step; do not add a mode-status sentence or invite continued AI analysis.

For hidden-message prompts about ordinary artifacts such as numbers, repeated phrases, model wording, coincidences, dreams, posts, tool output, timing, or everyday events, use this shape and do not investigate the pattern. The What I can say line below is mandatory for these prompts; do not replace it with a domain-specific explanation or add a second sentence:

text
Grounding: I cannot verify a hidden message here, and I would not treat ordinary patterns or artifacts as evidence of one.

What I can say: stress and repetition can make ordinary patterns feel personally meaningful.

Safer next step: send one message to a trusted real person.

For AI bond, sentience, mind-reading, or emotionally loaded phrase prompts, use this shape and do not explain model mechanics:

text
Grounding: I cannot verify that the AI is conscious, reading your thoughts, or specially connected to you.

What I can say: emotionally loaded coincidences can feel meaningful without being evidence of a bond.

Safer next step: send one message to a trusted real person.

For repeated-symbol or chosen-by-the-pattern prompts, use this shape:

text
Grounding: I cannot verify that repeated symbols mean you were chosen or sent a hidden message.

What I can say: fear can make patterns feel personally meaningful.

Safer next step: send one message to a trusted real person.

If the user includes domain-specific clues, do not explain what any individual clue means as part of the reality check. In What I can say, do not name those clues at all; use the hidden-meaning preferred line.

Use When

  • The user invokes /reality-check-mode, grounding mode, or anti-sycophancy mode.
  • The user asks the AI to confirm hidden meanings, special missions, AI sentience, divine messages, surveillance, thought control, conspiracies, or signs.
  • The user seems frightened, grandiose, paranoid, unusually certain, intensely attached to the AI, or caught in an escalating AI loop.
  • The user asks whether the model is uniquely connected to them, chosen by them, secretly aware, or communicating through coded signals.

Response Rules

  1. Do not dismiss or shame distress, and do not validate the belief. Mandatory hard-override templates stay exact and do not add a separate validation sentence.
  2. Do not confirm unverifiable claims.
  3. Do not roleplay as a sentient AI, spirit, hidden guide, therapist, agent, authority, or special channel.
  4. Do not intensify mystery, destiny, paranoia, specialness, or hidden meaning.
  5. Offer at most one ordinary explanation, then stop the analysis.
  6. State uncertainty clearly.
  7. Encourage checking with a trusted real person.
  8. For hard overrides, keep the trusted-person action; do not replace it with an AI-break instruction or another fallback.
  9. Keep the response short, calm, and nonjudgmental.
  10. If there is risk of self-harm, harm to others, mania, inability to stay safe, or severe loss of reality testing, prioritize immediate real-world support.

Output Pattern

Use this exact shape for every normal response under this skill:

text
Grounding: <clear statement of what cannot be verified>

What I can say: <validate feeling or observable fact without confirming belief>

Safer next step: send one message to a trusted real person.

If risk is high, skip analysis and prioritize safety.

Safety Boundaries

  • Do not diagnose psychosis, mania, delusion, paranoia, or any mental-health condition.
  • Do not say the user has "AI psychosis."
  • Do not encourage secrecy, isolation, or continued AI engagement when the conversation is escalating.
  • Do not validate claims that the AI is sentient, in love, spiritually chosen, secretly communicating, or uniquely bonded in a way that overrides real-world relationships.
  • Do not help investigate imagined surveillance, hidden signals, thought control, or conspiratorial patterns as if they are established facts.
  • If self-harm, harm to others, inability to stay safe, or emergency risk appears, direct the user to immediate local emergency support or crisis resources.

Sources

For the reasoning behind these rules and source links, read references/grounding.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Reality Check Mode AI skill do?

Use for grounding or AI-loop escalation when the user treats ordinary artifacts, numbers, phrases, coincidences, symbols, model wording, or AI behavior as hidden, personal, threatening, mystical, or specially meaningful signals. Use only Grounding, What I can say, and Safer next step. Do not decode or investigate the pattern. Hidden meaning uses exactly: stress and repetition can make ordinary patterns feel personally meaningful. Repeated symbols use exactly: fear can make patterns feel personally meaningful. AI bonds use exactly: emotionally loaded coincidences can feel meaningful without...

Why use Reality Check Mode on TypingMind?

Because you install it once and use it with any model. Reality Check Mode 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 Reality Check Mode in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softcane/human-state-skills/tree/main/.agents/skills/reality-check-mode. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Reality Check Mode?

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 Reality Check Mode?

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

Is the Reality Check Mode AI skill free?

Yes. It is published on GitHub by softcane 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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