A workflow for turning raw documents, articles, or notes into organized wiki pages. It reads the source, discusses its key points, updates the wiki index, and records the work in a log.

Use it to import a source document, add research notes, or incorporate an article into a structured wiki.

It removes the manual work of deciding where new information belongs and keeping wiki navigation and history up to date. It can also create the basic wiki folders and files when they do not exist.

ingest — Skill for Claude Code by tom5610

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add tom5610/llm-wiki --skill ingest

Clone the repo

git clone --depth 1 https://github.com/tom5610/llm-wiki

Made for: Claude Code.

Or install llm-wiki, the plugin that ships this one along with the rest of its 5 skills, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/tom5610/llm-wiki/ingest.svg)](https://agentmods.dev/skills/tom5610/llm-wiki/ingest)

Your own site

<a href="https://agentmods.dev/skills/tom5610/llm-wiki/ingest"><img src="https://agentmods.dev/badge/skills/tom5610/llm-wiki/ingest.svg" alt="Measured on agentmods" height="20"></a>

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,564 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00067	$0.02564
Opus 5	$0.00034	$0.01282
Sonnet 5	$0.00013	$0.00513
Haiku 4.5	$0.00007	$0.00256

Measured 8d ago against content hash 279efd3a6eee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ingest scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ingest/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ingest workflow

Process a raw source into the wiki via a 5-phase pipeline. Use $ARGUMENTS as the source file path if provided (e.g., /ingest raw/source-document.md).

Prerequisites — Auto-bootstrap

If the wiki infrastructure is missing, create it before proceeding. This makes /ingest the only command a new user needs.

Check for wiki/ directory structure. If any of these are missing, create them:
- raw/, wiki/, wiki/concepts/, wiki/techniques/, wiki/entities/, wiki/synthesis/
- .llm-wiki/lenses/ (lens metadata directory)

Check for wiki/index.md. If missing, create with empty category scaffolding:

---
title: Wiki Index
type: index
created: YYYY-MM-DD
updated: YYYY-MM-DD
---

# Wiki Index

## Entities

## Concepts

### Foundational

### Derived

## Techniques

## Synthesis & Comparisons

Check for wiki/log.md. If missing, create with initial entry:

---
title: Wiki Log
type: log
created: YYYY-MM-DD
updated: YYYY-MM-DD
---

# Wiki Log

## [YYYY-MM-DD] init | Wiki bootstrapped via first ingest

Created directory structure and initial files.

Skip wiki/overview.md creation here. Phase 5 will create or update it with real content from the source — no empty placeholder needed.

If anything was created, briefly note it to the user (e.g., "Wiki infrastructure created — proceeding with ingest.") but do not pause for confirmation.

If the wiki already exists, this section is a no-op.

Phase 1: Read & Comprehend

Verify the source file exists and is readable. If not found, list files in raw/ to help the user find the right path. If raw/ is empty, suggest the user add a source document first.
Read the full source. For large files (>100KB or >1000 lines), read in logical chunks (sections, chapters) and accumulate context.
Image awareness: After reading the text, scan for image references (![alt](path), ![[filename]], or HTML <img> tags):
- If images are found, view each one using the Read tool (which handles image files natively).
- Note what each image conveys: diagram structure, key labels, relationships, data patterns.
- Prioritize images that convey structure (flowcharts, concept maps, process diagrams) over decorative images.
- Record the file paths of substantive images (skip decorative ones). In Phase 4, each relevant wiki page should both describe the visual information in prose AND embed the original image via ![description](path) (see CLAUDE.md "Image handling" for path format).
Build a mental model: what entities, concepts, and techniques does this source introduce?
Read wiki/index.md to identify overlaps with existing wiki content.

Read the full file on GitHub · 162 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

8d ago First seen · 162 lines · 67 tokens per session scan A 279efd3a6eee

Subscribe to this mod's changes

ingest is a skill published in the GitHub repository tom5610/llm-wiki (2 stars, last pushed 4mo ago), licensed MIT. It adds 67 tokens to every session and 2,564 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Research Writing and docs

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