An anonymous first-person crypto confession engine that generates raw, high-impact trading loss stories to teach risk management and psychology through visceral experience.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install confession-generator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install confession-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Confession Generator?
The Confession Generator is a specialized component engineered for the Openclaw Skills framework. It automates the generation of compelling, first-person anonymous narratives detailing crypto trading mistakes and asset drawdowns. Inspired by viral social formats, this skill strips away moralizing and performative regret, focusing entirely on objective technical breakdowns, exact numbers, and realistic behavioral psychology.
By implementing strict architectural constraints on narrative arcs, the skill acts as an educational and engagement tool. It transforms real or simulated trading disasters into deep learning experiences for communities, highlighting the critical realities of leverage, FOMO, and risk management without exposing personal data or shilling financial products.
Confession Generator Use Cases
- Creating educational content for crypto communities focused on risk management and trading psychology.
- Automating highly engaging, anonymous storytelling streams for social media channels and marketing pipelines.
- Generating cautionary scenarios for trading simulation platforms or financial literacy applications.
- De-identifying and restructuring real user-submitted trading horror stories into structured educational assets.
How Confession Generator Works
- Theme Ingestion: The skill prompts the user for a specific trading disaster theme or offers a predefined category (e.g., liquidation, top-buying FOMO, copy-trading failure).
- Sanitization Filter: Input parameters are automatically scrubbed of all real-world identifying data, project names, wallet addresses, and personal details.
- Arc Synthesis: The engine constructs a structured narrative covering the setup, the technical action, the numerical result, the psychosocial aftermath, and a specific actionable countermeasure.
- Format Verification: Content is parsed to ensure first-person execution, lack of preachiness, and optimal line-breaks before delivery.
Confession Generator Setup
To integrate this engine into your platform, configure it within your local workspace repository:
# Install the skill package into your local workspace
openclaw install confession_generator
Ensure your config files register the component block under your active profile.
Confession Generator Data Schema & Taxonomy
The skill processes payload data and enforces configuration boundaries based on the following structural breakdown:
Metadata Configuration
| Field | Type | Description |
|---|---|---|
name |
String | Unique identifier: confession_generator |
version |
String | Semantic versioning value (e.g., 0.1.0) |
license |
String | Licensing constraint standard: MIT-0 |
Narrative Architecture
- Setup Block: Contextual scenario and psychological state.
- Action Block: Entry specifications, leverage parameters, and reasoning.
- Result Block: Quantitative loss data and timeline speed.
- Aftermath Block: Qualitative loss impacts (sleep, trust, relationships).
- The One Thing: Single, operational process adjustment for future trades.
Confession Generator Advanced Features
- Anonymization Pipeline: Automatically strips and substitutes concrete project tokens and time indicators to ensure zero tracking vectors.
- Format Isolation Rules: Hard-coded prevention constraints that entirely eliminate mid-text disclaimers, promotional plugs, or product links.
- Targeted Theme Matrices: Pre-seeded categories optimized for specific behavioral phenomena, ranging from top-buying FOMO to high-leverage liquidations.
SKILL.md
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