What is ingest-collection?

A command for importing a bounded collection of source material into a wiki as preserved raw records. Examples include documentation repositories, encyclopaedia data, message archives, and web-archive snapshots.

Use it to bulk-import source collections, retain their provenance, and prepare them for creating synthesized topic or reference pages.

It keeps the original sources and their origins intact before later work combines them into articles.

ingest-collection — 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 · 1,510 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-collection/github.svg)](https://agentmods.dev/commands/nvk/llm-wiki/ingest-collection)

Your own site

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

Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 4,136 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	$0.00031	$0.04136
Opus 5.5	$0.00012	$0.01654
Sonnet 5.5	$0.00006	$0.00827
Haiku 4.5	$0.00003	$0.00414

Measured 13d ago against content hash c0a25ab793e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ingest-collection 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 13d 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(mkdir:*), Bash(mv:*), Bash(cp:*), Bash(rm:*), Bash(basename:*), Bash(find:*), Bash(git:*), Bash(curl:*), Bash(python3:*), Bash(bunz

claude-plugin/commands/ingest-collection.md · 286 lines

How it starts

The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Your task

Bulk-ingest a collection into the wiki as immutable raw sources. A collection is a bounded upstream corpus, not a single article: a Git repository full of specs, a BIP repository, a MediaWiki XML dump/API site, a CSV/JSON message archive, or a Wayback CDX snapshot set. Do not compile one wiki article per upstream page by default. First preserve raw sources with provenance, then compile synthesized topic/concept/reference articles.

Resolve the wiki. Follow the same resolution flow as /wiki:ingest:

Read $HOME/.config/llm-wiki/config.json. If it has hub_path, expand leading ~ only 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/; --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>; current directory has .wiki/ → use it; else → HUB.
If <wiki>/_index.md is missing and --new-topic <name> is set, create the topic wiki using the init protocol before ingesting. If no wiki exists and no --new-topic, stop and ask for a target wiki.

Archive rule: collection ingest skips archived topic wikis by default. If --wiki <name> resolves to status: archived or a path under topics/.archive/, stop and ask the user to restore it with /wiki:archive restore <name> or rerun with --include-archived. When explicitly included, write only inside that archived topic path and keep it archived. Auto-classification and --new-topic collision checks should treat archived topics as unavailable unless the user explicitly restores or includes archived context.

Read skills/wiki-manager/references/ingestion.md and skills/wiki-manager/references/wiki-structure.md, then follow the collection ingestion protocol.

Read the full file on GitHub · 286 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.

13d ago Changed · +26 lines c0a25ab793e0
2mo ago First seen · 260 lines · 31 tokens per session scan A 24566d0080a4

Subscribe to this mod's changes

ingest-collection is a command published in the GitHub repository nvk/llm-wiki (1,510 stars, last pushed 12d ago), licensed MIT. It adds 31 tokens to every session and 4,136 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 Documents LLM Research agentic-ai agentic-skills agentic-workflow codex

ingest-collection next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ingest-collectionnvk/llm-wiki	Command	1.5k	12d ago	MIT	A	31	Claude Code
projectmodu-ai/moai-adk	Command	1.3k	3d ago	Apache-2.0	A	19	Claude Code
spreadsheet-auditintellegix/intellegix-code-agent-toolkit	Command	57	4d ago	MIT	A	0	Claude Code
test-featureLykhoyda/rn-dev-agent	Command	20	12d ago	MIT	A	30	Claude Code
specifyqarium/goga	Command	43	5d ago	BSD-3-Clause	A	0	Claude Code
resolve-conflictlatestaiagents/agent-skills	Command	6	2d ago	MIT	A	8	Claude Code
relaysaajunaid/caddis-plugin	Command	0	yesterday	MIT	A	12	GitHub Copilot

ingest-collection