wiki-ingest

wiki-ingest is a skill for Claude Code, Codex from vanillaflava/llm-wiki-skills. It costs 182 tokens per session (6,021 once invoked), scanned A, original, MIT.

A guide for turning source files, such as articles, clippings, or PDFs, into summarized and connected wiki pages. It processes files from a raw input folder and moves each completed file into an archive folder.

In plain words
What is it for?
Use it to import articles, PDFs, and other source files, create wiki pages from them, connect the pages, and check what remains in the input queue.
Why use it?
It turns a queue of unprocessed reading material into organized notes while keeping track of which files have already been handled.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to import articles, PDFs, and other source files, create wiki pages from them, connect the pages, and check what remains in the input queue.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vanillaflava/llm-wiki-skills/wiki-ingest
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 vanillaflava/llm-wiki-skills --skill wiki-ingest
Clone the repo
git clone --depth 1 https://github.com/vanillaflava/llm-wiki-skills

Made for: Claude Code, Codex.

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.

agentmods badge for wiki-ingest

README.md
[![agentmods](https://agentmods.dev/badge/skills/vanillaflava/llm-wiki-skills/wiki-ingest/github.svg)](https://agentmods.dev/skills/vanillaflava/llm-wiki-skills/wiki-ingest)
Your own site
<a href="https://agentmods.dev/skills/vanillaflava/llm-wiki-skills/wiki-ingest"><img src="https://agentmods.dev/badge/skills/vanillaflava/llm-wiki-skills/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.

agentmods 80×15 button for wiki-ingest

Your own site · 80×15
<a href="https://agentmods.dev/skills/vanillaflava/llm-wiki-skills/wiki-ingest"><img src="https://agentmods.dev/badge/skills/vanillaflava/llm-wiki-skills/wiki-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 182 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,021 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 244
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00182 $0.06021
Opus 5 $0.00091 $0.03010
Sonnet 5 $0.00036 $0.01204
Haiku 4.5 $0.00018 $0.00602

Measured 12d ago against content hash 083073eee60c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

wiki-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 12d 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.

wiki-ingest/SKILL.md · 319 lines

How it starts

The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wiki Ingest

Processes source files from the raw/ queue into synthesised, interlinked wiki pages. The move of each file into ingested/ is the atomic commit; the filesystem is the truth, not the log.


Config Discovery

Every invocation starts here. Wiki root is the directory containing wiki-config.md. Skills derive it at runtime. Pages this skill writes follow the structure in wiki-schema.md - both files need to be present.

  1. Identify scope: Determine your filesystem scope root - the top-level directory your filesystem tool can access.

  2. Scope check - MANDATORY STOP: If scope is bare drive root (C:\, D:\, /), OS root, or user home (C:\Users\X, /home/X, /Users/X) → stop immediately. Do not search. Do not attempt to locate wiki-config.md. Go directly to step 6.

  3. Scan <available_skills> for wiki-config. Note whether it's available - this shapes the recommendations below. The bundled references/setup-help.md is also available; read it if the user needs orientation or if you get stuck.

  4. Locate and read wiki-config.md: Search recursively (first-match, max 5 levels). If found, read it (blacklist, index_excludes, ingested_folder, ingested_subdirs, log_format). If not found, skip to step 6.

  5. Locate and read wiki-schema.md - mandatory check: In the same directory as wiki-config.md, verify wiki-schema.md exists and parses as YAML. Do not proceed to the Workflow below until you have a definite verdict (present / missing / malformed). Then:

    • Present and parses cleanly → read the schema (mandatory_fields, conditional_fields, enums) and proceed to the Workflow.

    • Missing → STOP. Do not proceed. Do not deploy. Response depends on whether wiki-config is in <available_skills> (from step 3):

      • wiki-config available: Output exactly this pattern - "Your wiki is missing wiki-schema.md. Run /wiki-config to deploy it and complete setup. I'll wait for that to be done before proceeding." End of turn. Do not offer bundled deployment; do not present alternatives. wiki-config's guided flow is the correct path when wiki-config is available.

Read the full file on GitHub · 319 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

  1. 12d ago First seen · 319 lines · 182 tokens per session scan A 083073eee60c

Subscribe to this mod's changes

wiki-ingest is a skill published in the GitHub repository vanillaflava/llm-wiki-skills (64 stars, last pushed 2mo ago), licensed MIT. It adds 182 tokens to every session and 6,021 once invoked, about $0.0009 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 2026-08-30.

Related

Other skills, from other repositories

llm-wiki

Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern. Extension-backed with auto-generated metadata, guardrails, and 14 custom tools (+3 opt-in agent-trajectory tools).

zosmaai/pi-llm-wiki · 52 tokens

mindbase

Maintain a persistent AI-tended research wiki. Activates when the user wants to ingest a source (PDF, URL, article, paste), capture a thought, build the wiki context, query what's already known, lint for orphans/contradictions, or maintain page conventions. Phrases include "add this to my wiki", "today I decided…"…

frankchu91/mindbase-llm-wiki · 105 tokens

llm-wiki-pm

Persistent PM knowledge base, competitive intel, customer notes, strategy, roadmap, AI market. Markdown wiki with entities, concepts, comparisons. Ingest sources, query, update with diffs, lint. Fires on "remember that / note that / don't forget / what do we know about X / what am I missing / blind spots".

anh-chu/llm-wiki-pm · 74 tokens

llm-wiki-brief

Structured daily/weekly briefs, tag digests, and check-ins from the PM wiki. Richer output than core catch-me-up.

anh-chu/llm-wiki-pm · 34 tokens

llm-wiki-crm

PM relationship CRM layer on top of the wiki. Relationship health, auto-enrichment via web search, account health tracking, and people profile maintenance. Does not replace Salesforce — tracks PM-specific context (product feedback, feature asks, strategic relationship, communication history).

anh-chu/llm-wiki-pm · 58 tokens

llm-wiki-prd

Generate PRDs, user stories, and release notes grounded in wiki knowledge. Reads entities, concepts, decisions, and customer pages as source material.

anh-chu/llm-wiki-pm · 36 tokens