NeuralEntropy

Simulates and decodes neural spike activity into cursor movement (BCI).

Security Scan

The skill's code and instructions match its stated purpose: it locally simulates neural spiking and decodes it to cursor movement, with no network calls or credential access.

Purpose & Capability

The name/description (BCI simulation & decoder) aligns with the included Python script and README. There are no unrelated environment variables, binaries, or config paths requested.

Instruction Scope

SKILL.md and README simply instruct running the included script. The runtime instructions and script operate locally, printing results; they do not read system config, access external endpoints, or request unrelated data.

Install Mechanism

There is no install spec (instruction-only), which is low risk. However, the code imports numpy but the skill does not declare dependencies or provide installation steps; users will need Python + numpy available to run the script.

Credentials

No environment variables, credentials, or config paths are required. The skill does not attempt to access unrelated secrets or services.

Persistence & Privilege

always is false and the skill does not request persistent/system-wide privileges. It does not modify other skills or agent configuration.

Assessment

This skill appears internally consistent and low-risk: it runs a local simulation and prints results, with no network access or credential use. Before installing or running: (1) review the script yourself (it's short and readable); (2) run it in a sandbox or isolated environment if you have any doubt; (3) ensure Python and numpy are installed (the skill does not include an install step); and (4) note the source/homepage are unknown—if you need provenance or maintenance, ask the publisher for more information.

Neuralink Decoder Skill

This skill simulates a Brain-Computer Interface (BCI). It generates synthetic neural spiking data based on cosine tuning (motor cortex model) and uses a linear decoder to reconstruct cursor velocity.

Features

• Neural Simulator: Generates realistic spike trains for 64 neurons.
• Decoder: Maps spike rates to 2D velocity ($v_x, v_y$).
• Visualization: Prints the decoded trajectory.

Commands

• decode: Run the simulation and decoding loop.