Individual skill
ingest
Read web pages and search the web through the workspace Load lane. A query or URL returns document outlines with refs; pass refs back to read the original text of the sections you need, batch several refs in one call, and follow nextRef only while more evidence is needed. Use whenever the user gives a URL, asks you to read a webpage, or wants top-K pages on a topic. Hermes uses the `workspace_web_search` / `web_load` tools; other runtimes use the `cloud search` / `cloud load` CLI. For local document parsing (PDF text + OCR), use the `liteparse` skill instead.
sdk/cloud/catalog/skills/ingest/SKILL.md
Source commit f83b859a173802a73d978197e92328ab2bf57a6e
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,364
- Repository last updated
- Oct 22, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-communication Repository topic
- agent-memory Repository topic
- ai-agents Repository topic
- claude Repository topic
- cursor Repository topic
- docker Repository topic
- knowledge-base Repository topic
- llm-tools Repository topic
- mcp Repository topic
- mcp-server Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# Ingest
Use this skill to **bring external web content into your context by navigating, not by dumping whole pages**: the first call returns each document's outline with refs, later calls read only the sections you choose, as original text.
> **Local documents (PDF text extraction + OCR) are handled by the `liteparse` skill**, not here — it's a local-first, zero-network tool with Tesseract + PDFium bundled. `ingest` covers web URLs only.
## When to use
- The user pastes a URL or asks "what does this page say".
- The user asks to research a topic ("AI agent frameworks 2025") — search, then read the relevant sections of the top pages.
- A task description contains URLs that need to be resolved into actual content before the assignee can act.
> Attached PDFs / images / scans → use the `liteparse` skill (local-first PDF text + OCR), not `ingest`.
