A command for adding source material to an active wiki. It accepts web links, local files, PDFs, written text, or items waiting in an inbox.

Use it to bring individual sources into the wiki, including PDF documents, file paths, URLs, freeform notes, and supported tweets.

It gives the wiki a consistent place to gather information before it is organized or summarized.

ingest — Command for Claude Code by nvk/llm-wiki

About the project

LLM Wiki is a system that uses AI agents to research sources, compile knowledge bases, organize project briefs, and answer questions from the resulting wiki. It is used to turn rough ideas and investigations into structured, reusable knowledge for agents, including Claude Code, Codex, and OpenCode. The catalogue entries are commands, hooks, skills, instructions, and a plugin that implement its workflow.

nvk/llm-wiki · 1,438 stars · on GitHub · llm-wiki.net

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.

Clone the repo

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

Made for: Claude Code.

Or install wiki, the plugin that ships this one along with the rest of its 1 skill, 28 commands.

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/commands/nvk/llm-wiki/ingest/github.svg)](https://agentmods.dev/commands/nvk/llm-wiki/ingest)

Your own site

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

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/commands/nvk/llm-wiki/ingest"><img src="https://agentmods.dev/badge/commands/nvk/llm-wiki/ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 3,038 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. 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	$0.00034	$0.03038
Opus 5.5	$0.00014	$0.01215
Sonnet 5.5	$0.00007	$0.00608
Haiku 4.5	$0.00003	$0.00304

Measured 1mo ago against content hash 225796c628b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ingest scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

allowed-tools: Read, Write, Edit, Glob, Grep, Bash(ls:*), Bash(wc:*), Bash(date:*), Bash(mv:*), Bash(mkdir:*), Bash(basename:*), Bash(file:*), Bash(curl:*), Bash(mktemp:*), Bash(rm:*), Bash(pdftotext:*), Bash(python3:*),

claude-plugin/commands/ingest.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Your task

Resolve the wiki. Do NOT search the filesystem or read reference files — follow these steps:

Read $HOME/.config/llm-wiki/config.json. If it has hub_path, expand leading ~ only (not tildes in com~apple~CloudDocs) and prefer that path; use resolved_path only as a fallback cache when the expanded hub_path is unavailable and resolved_path is initialized. If config has only resolved_path, use it. If the configured path can be statted but reading wikis.json or listing topics/ fails with Operation not permitted, stop and ask the user to grant Full Disk Access/iCloud Drive access to the launcher; do not fall back to ~/wiki or resolved_path. Do not write machine-specific resolved_path into shared configs.
If no config → read $HOME/wiki/_index.md. If it exists → HUB = $HOME/wiki. If nothing found, ask the user where to create the wiki.
Wiki location (first match): --local → .wiki/ in CWD; --wiki <name> → HUB/wikis.json lookup with portable path resolution (<HUB>, ~, absolute, or HUB-relative); if the registry path is stale, fall back to HUB/topics/<name>; CWD has .wiki/ → use it; else → HUB.
Read <wiki>/_index.md to verify. If missing and --new-topic <name> is set → create the topic wiki (see below). If missing and no --new-topic → stop with "No wiki found. Use --new-topic <name> to create one, or run /wiki init first."

Read the ingestion protocol at skills/wiki-manager/references/ingestion.md and the structure spec at skills/wiki-manager/references/wiki-structure.md. Then ingest source material.

Collection handoff

If the user is trying to import a bounded upstream corpus rather than one source item, stop and hand off to /wiki:ingest-collection with the same wiki flags. Signals include: "import wiki", "mirror wiki", "bulk ingest", "ingest collection", "ingest repo", "import repo", "split CSV into messages", "Wayback snapshots", MediaWiki dumps (.xml, .xml.bz2, .xml.gz), MediaWiki api.php, CDX API URLs, or a GitHub/GitLab repo plus words like "all", "docs", "BIPs", "wiki", or "collection".

Read the full file on GitHub · 204 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.

1mo ago First seen · 204 lines · 34 tokens per session scan A 225796c628b8

Subscribe to this mod's changes

ingest is a command published in the GitHub repository nvk/llm-wiki (1,438 stars, last pushed 18d ago), licensed MIT. It adds 34 tokens to every session and 3,038 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude Code LLM Memory and context Research agentic-ai agentic-skills agentic-workflow codex

ingest

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Makes network callslowCapability

How it starts

Your task

Collection handoff

What this file has done since we first saw it

Other commands, from other repositories

hive-mind-memory

ask

help

debug

rem_help

export-closedloop-learnings