ingest

Ingests files from various sources into the OS with provenance and wiki update suggestions.

2|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/ARCASSystems/FounderOS --skill ingest-arcassystems
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/ARCASSystems/FounderOS/tree/main/skills/ingest
Command: npx skills add https://github.com/ARCASSystems/FounderOS --skill ingest-arcassystems

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The ingest skill addresses the challenge of preserving and organizing sources with their origins intact, facilitating efficient knowledge management and decision-making.

Core Features & Use Cases

  • Source Preservation: Files sources into the OS with full provenance, ensuring traceability of information.
  • Wiki Update Proposals: Automatically proposes wiki updates based on the content of the source for user approval.
  • Selective Updates: Allows users to approve only specific proposed updates, fostering a connected knowledge graph.

Quick Start

To ingest a source, say "ingest this" or "process this source" and provide the URL, file path, or text content.

Frequently Asked Questions about ingest

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

FAQPage Schema
How do I preserve source provenance when ingesting files into a local knowledge management system?

Source provenance is preserved by filing sources into the operating system with full traceability of their origins, ensuring information remains connected and verifiable for knowledge organization.

Can I automatically propose wiki updates based on ingested source content?

Yes, the ingestion process automatically proposes structured wiki updates based on analyzed source content, allowing users to selectively approve only specific proposals to maintain a connected knowledge graph.

What source types are supported for local file system ingestion and provenance tracking?

Local file system ingestion supports a variety of source types including URLs, file paths, and direct text content, preserving provenance for each format during knowledge organization.

How do I start ingesting a source using Python for knowledge organization?

To start ingesting a source, provide a URL, file path, or text content and trigger the process, which utilizes Python for file operations and text processing to preserve sources with provenance.

Does the wiki update proposal process require write access to the local file system?

Yes, the ingestion process operates on the local file system and requires write access to file sources and propose structured wiki updates for enhanced knowledge management.

What's the best way to manage provenance tracking for sources without losing their original context?

The best way to manage provenance tracking is ingesting sources directly into the operating system, which preserves original context and proposes selective wiki updates to maintain information traceability.