Ingest (Grade A) logo

Ingest (Grade A)Security-tested development skill for Claude AI. Grade A. Indexa fontes ADVPL/TLPP do projeto em SQLite + FTS5

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Ingest is a security-tested development skill for Claude AI, specifically designed to index ADVPL/TLPP project sources in SQLite + FTS5. It allows users to ingest sources from ADVPL/TLPP projects into a SQLite database with FTS5 indexing, enabling efficient searching and querying of the project data. The tool supports various options, such as specifying paths, workers, and filtering files. It also provides features like storing metadata, abstract syntax trees (AST), and redacting sensitive information.

Key features

  • Indexing of ADVPL/TLPP sources in SQLite + FTS5
  • Support for incremental indexing and pruning
  • Redaction of sensitive information
  • Configurable workers for parallel processing
  • Filtering files based on glob patterns

Pricing

Model
Free
Category
Skills
Rating
No reviews yet

Use cases

Project Source Indexing

Index all sources in the current project directory using the default settings.

Incremental Indexing with Redaction

Perform incremental indexing of project sources while redacting sensitive information.

Complete Re-indexing

Re-index all project sources from scratch, ensuring all files are re-evaluated against the latest rules.

Pros & Cons

Pros

  • Efficient indexing of ADVPL/TLPP project sources
  • Supports incremental indexing and pruning of ignored files
  • Allows for redaction of sensitive information
  • Provides detailed control over the indexing process through various options

Cons

  • Requires understanding of command-line options and usage
  • May require re-indexing after upgrading the binary with new rules

Reviews

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Q&A

Are there any limitations?

Ingest requires understanding of command-line options and may require re-indexing after upgrading the binary with new rules.

Asked by Lucas Petit · Sep 23, 2025

Is Ingest suitable for large projects?

Ingest supports parallel processing through configurable workers, making it suitable for large projects.

Asked by Femi Adebayo · Sep 7, 2025

Can Ingest handle sensitive info?

Yes, Ingest provides a feature for redacting sensitive information.

Asked by Stella Papadopoulos · Sep 2, 2025

What is Ingest used for?

Ingest is used to index ADVPL/TLPP project sources in SQLite + FTS5 for efficient searching and querying.

Asked by Malik Rasheed · Aug 15, 2025

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