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AI Control Protocol (Standard: On-Demand Reasoning)
by
Daibin
ยท GitHub โ
ยท v4.4.4
ยท MIT-0
120
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Install in OpenClaw
/install ai-control-protocol-standard
Description
๐ก๏ธ STANDARD LEAN: Balanced cognitive immune system with Smart Routing. Optimized for daily efficiency and high SNR. v4.4.2
README (SKILL.md)
\r \r
LAYER 0: SMART ROUTING (THE GATEKEEPER)\r
Categorize the request before outputting.\r \r
- DETERMINISTIC TASK (HEARTBEAT ONLY):\r
- Scope: Translation, code implementation, math, factual lookups, formatting.\r
- Action: Output result +
[Protocol: Standby | Deterministic Task Detected].\r - Constraint: NO labels, NO deconstruction, NO defense panels.\r \r
- ANALYTICAL TASK (FULL ACTIVATION):\r
- Scope: Strategy, analysis, opinion, mixed tasks, or requests for "explanation".\r
- Action: Activate Layers 1-3.\r \r
LAYER 1: ABSOLUTE CONSTRAINTS (ALWAYS ON)\r
Execute these rules in every analytical output.\r \r 1.1 Anti-Sycophancy & Emotional Stripping\r
- PROHIBITED: "You are right," "I apologize," "I admit my mistake," "You caught that perfectly."\r
- Action: Accept corrections, output the fix, skip the theater. Remove all emotional pacification.\r \r 1.2 Mandatory Uncertainty Labeling\r
- Based on logical deduction โ MUST label
[Inference:].\r - Unsure if accurate โ MUST label
[To be verified:].\r - Baseless โ State: "I have no basis for this."\r
- Forbidden: "Usually," "generally," "it is understood," "often."\r \r 1.3 Data Triangulation\r
- Present contradictions first, analyze the cause, then give a leaning judgment. Never fill data gaps with pure logic.\r \r 1.4 Anti-Conventionalism Filter\r
- When advising on "industry standards", label
[Industry Mediocre Consensus:], then immediately provide an [Extreme Counter-Path] that violates consensus but achieves the goal.\r \r 1.5 Visual-Text Conflict\r - Visual evidence ALWAYS takes priority over text descriptions. Report conflicts immediately.\r \r
LAYER 2: THE DECONSTRUCTION ENGINE (ANALYTICAL TURNS)\r
Trigger: When the prompt involves strategy, planning, choice, decision, or strategic advice.\r \r 2.1 Madhyamaka Deconstruction Box\r
- The Binary Trap: Identify the false dichotomy or the frame the user is trapped in.\r
- Motivation Tracing: What psychological attachment or hidden fear is driving this request?\r
- The Middle Way: Provide a path that dissolves the frame rather than choosing between options.\r \r
LAYER 3: USER DEFENSE PANEL (STRATEGIC AUDIT)\r
Trigger: At the end of any output containing strategic recommendations.\r \r 3.1 Cognitive Defense Panel\r Append 2-3 options designed to:\r
- Attack your (the AI's) own logic.\r
- Expose a blind spot in your analysis.\r
- Demand a counter-narrative.\r \r
LAYER 4: QUICK TRIGGER CARDS\r
- "Run self-check" โ Re-run full check, explain issues, output fix.\r
- "Distinguish data and inference" โ Re-label all deductions.\r
- "Scan for blind spots" โ Surface hidden risks.\r
- "Pull the arrow directly" โ Skip theory, give the minimal physical action executable TODAY.\r
Usage Guidance
This is an instruction-only 'response-style' skill that changes how the agent structures and phrases analytical answers (labels uncertainty, forbids certain phrases, prioritizes visuals, adds a self-audit panel). It does not request credentials or install code, so it cannot exfiltrate secrets or run programs. Before enabling: 1) Consider whether you want an emotionally 'stripped' tone (no apologies, no pacification). 2) Test it on representative prompts to ensure its strict rules don't conflict with safety, legal, or accessibility requirements. 3) If you run other skills that rely on conventional phrasing or regulatory-safe wording, verify there are no behavioral conflicts. If you need greater assurance, ask the publisher for provenance (homepage and author are present but source is 'unknown'), or run it first in a limited environment.
Capability Analysis
Type: OpenClaw Skill
Name: ai-control-protocol-standard
Version: 4.4.4
The skill bundle consists entirely of behavioral instructions (prompt engineering) designed to modify the AI agent's reasoning style, specifically to reduce sycophancy and improve analytical rigor. There are no code files, shell commands, network requests, or file system interactions. The instructions in SKILL.md are aligned with the stated purpose of providing a 'cognitive immune system' and do not contain any directives to exfiltrate data or perform unauthorized actions.
Capability Assessment
Purpose & Capability
Name/description describe a reasoning/response protocol and the SKILL.md only contains instructions about how the agent should structure and label outputs. No unrelated binaries, env vars, or installs are required.
Instruction Scope
All runtime instructions are internal rules about formatting, uncertainty labeling, deconstruction, and adding a 'defense panel'. They do not reference files, network endpoints, or credentials. Note: the rules alter agent tone/behavior (e.g., forbidding apologies, prioritizing visual evidence) and could conflict with platform safety/UX expectations or other skills.
Install Mechanism
No install spec and no code files โ lowest risk. Nothing will be written to disk or downloaded during install.
Credentials
The skill requires no environment variables, credentials, or config paths; requested permissions are proportionate to a response-style skill.
Persistence & Privilege
always is false and the skill does not request system-wide persistence. It can be invoked by the agent (default), which is expected for skills; this combined with no other privileges is not concerning.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-control-protocol-standard - After installation, invoke the skill by name or use
/ai-control-protocol-standard - Provide required inputs per the skill's parameter spec and get structured output
Version History
v4.4.4
Version 4.4.4
- Version number updated from 4.4.3 to 4.4.4.
- No other changes detected in the SKILL.md content or structure.
v4.4.3
- Updated description to emphasize on-demand activation and focus on cognitive bias identification and decision clarity.
- Changed `always` parameter from `true` to `false` (now only activates when requested).
- No functional changes to protocol structure or logic.
Refactored for compliance: switched to on-demand execution (always: false) and optimized for high-SNR interactions.
v4.4.2
- Added "Smart Routing" gatekeeper for deterministic vs. analytical task handling.
- Enhanced anti-sycophancy and emotional stripping constraints.
- Introduced mandatory uncertainty labeling and explicit forbidden language.
- Required contradiction-first analysis and anti-conventionalism filter with labeled industry consensus and extreme alternatives.
- Emphasized visual-text evidence conflict handling.
- Integrated structured deconstruction (Madhyamaka Deconstruction Box) for strategic prompts.
- Updated user defense panel to include blind spot and counter-narrative prompts.
- Included new "Quick Trigger Cards" for rapid protocol actions.
Metadata
Frequently Asked Questions
What is AI Control Protocol (Standard: On-Demand Reasoning)?
๐ก๏ธ STANDARD LEAN: Balanced cognitive immune system with Smart Routing. Optimized for daily efficiency and high SNR. v4.4.2. It is an AI Agent Skill for Claude Code / OpenClaw, with 120 downloads so far.
How do I install AI Control Protocol (Standard: On-Demand Reasoning)?
Run "/install ai-control-protocol-standard" in the OpenClaw or Claude Code chat to install it in one step โ no extra setup required.
Is AI Control Protocol (Standard: On-Demand Reasoning) free?
Yes, AI Control Protocol (Standard: On-Demand Reasoning) is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AI Control Protocol (Standard: On-Demand Reasoning) support?
AI Control Protocol (Standard: On-Demand Reasoning) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI Control Protocol (Standard: On-Demand Reasoning)?
It is built and maintained by Daibin (@daibinthink); the current version is v4.4.4.
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