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Ingest

ASecurity

Extract content from documents when their format or layout prevents reliable direct reading. Verify reading order and tables before analysis.

3 stars
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Added 9/22/2026
ai-agentsgit

Security Analysis

A100/100

Scanned 9/22/2026

Install to Claude Code

$npx -y skills add badmuriss/my-llm-kit --skill ingest --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: ingest
description: Extract content from documents when their format or layout prevents reliable direct reading. Verify reading order and tables before analysis.
---

# Ingest

Use direct reading for text, Markdown, CSV that preserves its structure, and
known source-code files. Do not convert or bundle a repository merely to inspect
one file. For editing a document, use its format-specific skill when available.

For PDF or Office extraction, prefer an available local converter such as
`anydoc`. For image or audio input, use a tool with the required OCR or
transcription capability; do not assume every installation has those extras.
Use a layout-aware converter for complex or scanned PDFs when ordinary extraction
scrambles the content. Install extra converters only when the task needs them.

Preserve the original. Write extracted content to a task-local directory and
verify headings, table structure, reading order and footnotes before citing it.
If extraction fails, try a suitable alternative or report which content could
not be read reliably. Never summarize scrambled extraction as established fact.

A conversion batch may be delegated when useful. A returned path or successful
process exit does not replace inspecting the output. Avoid loading an entire
long document when targeted passages are enough.

Adapted from [research-stack](https://github.com/nett0eth/research-stack), MIT.

Attribution

badmurissbadmuriss
View sourceMore from badmuriss →
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