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Constraint Protocol

ASecurity

Inject constraints → force creative response → extract transferable principles. Orchestrates constraint injection, response generation, and principle extraction.

417 stars
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Added 6/2/2026
researchgo

Security Analysis

A100/100

Scanned 6/2/2026

Install to Claude Code

$npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill constraint-protocol --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: constraint-protocol
description: Inject constraints → force creative response → extract transferable principles. Orchestrates constraint injection, response generation, and principle extraction.
execution: tactic
used-by: perspective-forcing
---

# Constraint Protocol

Inject constraints → force creative response → extract transferable principles.

## Stages

### Stage 1: Constraint Injection

Generate extreme constraints across multiple types (resource, time, scale, audience, material, inversion, context). Each constraint should make the current approach impossible, forcing genuinely new thinking.

### Stage 2: Constraint Response

For each constraint, generate a creative solution that satisfies both the original problem AND the constraint. No "impossible" — find a way. Use constraint-response SOP.

### Stage 3: Extract Transferable Principles

From each constrained solution, extract the underlying principle that made it work. Identify which principles apply even WITHOUT the constraint — these are the creative gold.

## Minimum Yield

| Metric | Floor |
|--------|-------|
| Constraints injected | ≥5 |
| Constraint-forced solutions | ≥3 |
| Transferable principles extracted | ≥3 |
| Principles validated as novel | ≥2 |

## Available SOPs

| SOP | Role |
|-----|------|
| constraint-response | Stage 2 — generate solutions under constraints |
| perspective-synthesis | Stage 3 — synthesize principles into report |
| novelty-scoring | Post — score novelty of extracted principles |

Attribution

yogsoth-aiyogsoth-ai
View sourceMore from yogsoth-ai →
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