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ActiveInferenceInstitute
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gnn-pipeline

Validate SKILL.md frontmatter and aggregate metadata for GNN pipeline indexing.

30|3|Updated Apr 2, 2023
Search Tags:#security#validation#discovery#metadata#frontmatter#skill-unit
One-click install
npx skills add https://github.com/ActiveInferenceInstitute/GeneralizedNotationNotation --skill gnn-pipeline
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gnn-pipeline
Source: https://github.com/ActiveInferenceInstitute/GeneralizedNotationNotation/tree/main
Command: npx skills add https://github.com/ActiveInferenceInstitute/GeneralizedNotationNotation --skill gnn-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The GNN Skill discovery unit identifies valid Skill units by enforcing the mandatory SKILL.md frontmatter and uses it to drive automated discovery, indexing, and activation of modular 25-step pipeline components.

Core Features & Use Cases

  • Discover and validate Skill units by inspecting SKILL.md frontmatter for required fields (name and description).
  • Aggregate and surface metadata (name, description, dependencies, components) for indexing, search, and activation flows.
  • Support automated activation workflows and safety checks to prevent invalid Skill units from being published.

Quick Start

Run the discovery workflow to enumerate all valid Skill units in the repository and generate metadata for each.

Frequently Asked Questions about gnn-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate Skill units by checking SKILL.md frontmatter requirements?▼

To validate Skill units, the discovery process inspects each candidate directory's root for SKILL.md frontmatter and enforces required fields like name and description before indexing.

What metadata is aggregated during Skill unit discovery for pipeline indexing?▼

Skill unit discovery aggregates metadata such as name, description, dependencies, and components to support automated indexing, search, and activation flows within the pipeline.

How does the GNN pipeline handle safety checks for toxic content in Skill units?▼

The pipeline evaluates safety concerns by flagging toxic content during validation, ensuring only compliant Skill units that pass frontmatter and security checks are published.

Can I use automated activation workflows without manually checking Skill dependencies?▼

Yes, automated activation workflows are supported because the discovery process aggregates dependencies and components metadata, preventing invalid Skill units from activating without manual checks.

Why does my Skill unit fail validation when submitting to the pipeline?▼

Skill unit validation fails when the candidate directory lacks mandatory SKILL.md frontmatter at its root or is missing required fields like name and description.

What is the best way to coordinate the 25-step pipeline end-to-end?▼

The best way to coordinate the 25-step pipeline end-to-end is by running the discovery workflow to enumerate valid Skill units and generate metadata for each activation step.

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