model-extraction-relu-logits

13 stars 1 forks
21

Guidance for extracting weight matrices from black-box ReLU neural networks using only input-output queries. This skill applies when tasks involve model extraction attacks, recovering hidden layer weights from neural networks, or reverse-engineering ReLU network parameters from query access.

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Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install letta-ai/skills/model-extraction-relu-logits
skilz install letta-ai/skills/model-extraction-relu-logits --agent opencode
skilz install letta-ai/skills/model-extraction-relu-logits --agent codex
skilz install letta-ai/skills/model-extraction-relu-logits --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/letta-ai/skills
2. Copy the agent skill directory:
cp -r skills/ai/benchmarks/letta/terminal-bench-2/trajectory-only/model-extraction-relu-logits ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Repository
skills
Stars
13
Forks
1
Type
Technical
Meta-Domain
data ai
Primary Domain
machine learning
Market Score
21

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