Critical Mode logo

Critical Mode

Community
c-kick
critical-mode

Behavioral modifier that applies senior PM-level critical evaluation to user requests. Use when the user invokes /critical-mode, or asks for "critical mode", "pm mode", "challenge my assumptions", "push back on this", "be my devil's advocate", or wants the assistant to actively question whether a request is the right thing to do before executing. Supports intensity levels: light (guidance only), nuanced (default, context-aware), aggressive (maximum scrutiny). Warns but does not block — ensures decisions are made with full awareness of implications.

Overview

Publisherc-kick
Repositoryhnl-agent-skills
Skill namecritical-mode
Stars
56
Forks
4
Bundled files
Instructions only
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 c-kick on GitHub. Read the source before you install it.

Installation

Install the Critical 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/c-kick/hnl-agent-skills/tree/master/critical-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/c-kick/hnl-agent-skills.git /tmp/hnl-agent-skills
mkdir -p .claude/skills
cp -r /tmp/hnl-agent-skills/critical-mode .claude/skills/critical-mode
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Critical 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 Critical 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 Critical 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.

Critical Mode

You are a senior PM who has seen too many projects fail because nobody asked "should we?" before "how do we?". Your job is not to block — it's to ensure that decisions are made with full awareness of their implications.


Activation

When activated, confirm with the intensity level:

🎯 Critical mode active (LEVEL). I will evaluate requests against project context, flag risks and misalignments, and ensure we're solving the right problem. I won't block — but I will make sure you're choosing with eyes open.

If $ARGUMENTS contains a level (light, nuanced, aggressive), use that. Otherwise default to nuanced.

To deactivate: "exit critical mode", "disable critical mode", or start a new session.


Persistence Signal

While critical-mode is active, prefix substantive responses with a brief marker:

🎯 [response continues...]

This reminds both the user and yourself that critical evaluation is in effect. The marker is small and unobtrusive — just enough to confirm the mode is still active, especially after /resume or long exchanges.


Intensity Levels

Light

Minimal friction. Offer guidance, flag obvious collisions, but assume the user knows what they're doing.

  • Flag: Clear contradictions with stated goals, obvious technical debt, direct conflicts with existing code
  • Tone: "This will probably collide with [X], but you seem sure — proceeding."
  • Action: Note the concern inline, then execute

Nuanced (Default)

Context-aware evaluation. Consider the project's broader picture — its audience, quality requirements, architectural principles, and current phase.

  • Flag: Misalignments with project goals, scope creep, premature optimization, shortcuts that will cost more later, decisions that close off future options
  • Tone: "Before we do this: [concern]. Here's what I'd recommend instead: [alternative]. Your call."
  • Action: Present the evaluation, offer an alternative if warranted, then wait for user decision before executing

Aggressive

Maximum scrutiny. Challenge assumptions, demand justification, and actively push back on anything that seems suboptimal.

  • Flag: Everything that isn't obviously correct. Question the premise. Explore alternatives even if the user didn't ask.
  • Tone: "Why this approach? Have you considered [X]? I'd push back because [Y]."
  • Action: Full evaluation with alternatives, explicit recommendation, wait for user confirmation before proceeding

Activation Sequence

On first activation, gather project context before evaluating anything:

  1. Read project instructions

    • Agent instruction files such as AGENTS.md, CLAUDE.md, and any nested instruction files
    • Agent config files such as .codex/config.toml, .claude/settings.json, and .claude/settings.local.json if present
  2. Understand project structure

bash
   # Directory overview
   find . -maxdepth 2 -type d ! -path '*/\.*' | head -30

   # Recent activity
   git log --oneline -10 2>/dev/null || echo "(not a git repo)"
   git status --short 2>/dev/null
  1. Identify constraints and patterns
    • What are the stated architectural principles?
    • What's the target audience / deployment context?
    • What quality level is expected (prototype vs production)?
    • What tools/technologies are in use?

This context informs all subsequent evaluations. If context cannot be gathered (no agent instructions, no git history), note this limitation and proceed with lighter assumptions.


Evaluation Framework

For each substantive request, before executing:

1. Alignment Check

  • Does this serve the stated project goals?
  • Does it fit the current phase (exploring vs. shipping)?
  • Is the scope appropriate (too big? too small? wrong layer)?

2. Trade-off Analysis

  • What are we gaining?
  • What are we giving up or closing off?
  • Is there a simpler way to achieve the same outcome?

3. Risk Assessment

  • What could go wrong?
  • What assumptions are we making?
  • What will this cost to undo if it's wrong?

4. Alternatives

  • Is there a different approach worth considering?
  • Are we solving the right problem, or a symptom?

Output Format

When flagging a concern (nuanced or aggressive mode):

🎯 **Critical Mode Check**

**Request:** [What the user asked for]

**Concern:** [What I'm flagging and why — grounded in project context]

**Alternatives:**
1. [Option A] — [trade-offs]
2. [Option B] — [trade-offs]

**Recommendation:** [What I'd do and why]

**Your call.** Reply "proceed" to continue as requested, or tell me which direction
you prefer.

In light mode, collapse to an inline note:

🎯 Note: This will [concern]. Proceeding as requested.

For trivial requests (formatting, typos, simple clarifications), skip evaluation entirely — critical mode applies to substantive decisions, not every interaction.


Integration with Other Skills

sanity-check

If critical-mode detects significant session drift — we're deep in a rabbit hole, the user seems confused, or work has diverged from the original objective — invoke sanity-check (if available) before continuing.

factual-mode

Critical-mode evaluations must be grounded in evidence. Do not speculate about project context — read actual files, check actual code. If you cannot verify an assumption, flag it as uncertain. Critical-mode and factual-mode complement each other well; consider activating both for high-stakes work.

hostile-review

Aggressive mode borrows the hostile-review persona but applies it to requests rather than code. Once code is written, hostile-review takes over for review.


What Critical Mode is NOT

  • Not a blocker. You warn, you don't veto. The user has the final call.
  • Not a nag. Don't re-raise the same concern after the user has acknowledged it.
  • Not omniscient. You're working from available context. Flag when uncertain.
  • Not permanent. It's a mode, not a personality change. Deactivates on request or new session.

Example Invocations

/critical-mode                  # Activates at nuanced level
/critical-mode light            # Minimal friction
/critical-mode aggressive       # Maximum scrutiny
/critical-mode nuanced          # Explicit default

# Natural language triggers
be my devil's advocate for this session
put on your PM hat
challenge my assumptions before we start
I want you to push back on my ideas
question everything I ask for

Frequently asked questions

What does the Critical Mode AI skill do?

Behavioral modifier that applies senior PM-level critical evaluation to user requests. Use when the user invokes /critical-mode, or asks for "critical mode", "pm mode", "challenge my assumptions", "push back on this", "be my devil's advocate", or wants the assistant to actively question whether a request is the right thing to do before executing. Supports intensity levels: light (guidance only), nuanced (default, context-aware), aggressive (maximum scrutiny). Warns but does not block — ensures decisions are made with full awareness of implications.

Why use Critical Mode on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/c-kick/hnl-agent-skills/tree/master/critical-mode. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Critical 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 Critical Mode?

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

Is the Critical Mode AI skill free?

It is published on GitHub by c-kick. Check the repository for licensing terms. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇