video2wiki

video2wiki is a skill for Cursor from liyading1818/obsidian-llm-wiki. It costs 160 tokens per session (2,143 once invoked), scanned A, original, no licence file.

A tool that turns videos or messy web clippings into structured notes stored in an Obsidian LLM-Wiki vault. Obsidian is a note-taking app that stores linked notes as files.

In plain words
What is it for?
Use it with Xiaohongshu, Bilibili, Douyin, or YouTube links, or existing clipping files, when you want material turned into an organised note.
Why use it?
It removes the manual work of cleaning, organising, and archiving information from video links or web clippings.

Skill for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it with Xiaohongshu, Bilibili, Douyin, or YouTube links, or existing clipping files, when you want material turned into an organised note.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/liyading1818/obsidian-llm-wiki/video2wiki
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 liyading1818/obsidian-llm-wiki --skill video2wiki
Clone the repo
git clone --depth 1 https://github.com/liyading1818/obsidian-llm-wiki

Made for: Cursor.

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 video2wiki

README.md
[![agentmods](https://agentmods.dev/badge/skills/liyading1818/obsidian-llm-wiki/video2wiki/github.svg)](https://agentmods.dev/skills/liyading1818/obsidian-llm-wiki/video2wiki)
Your own site
<a href="https://agentmods.dev/skills/liyading1818/obsidian-llm-wiki/video2wiki"><img src="https://agentmods.dev/badge/skills/liyading1818/obsidian-llm-wiki/video2wiki/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 video2wiki

Your own site · 80×15
<a href="https://agentmods.dev/skills/liyading1818/obsidian-llm-wiki/video2wiki"><img src="https://agentmods.dev/badge/skills/liyading1818/obsidian-llm-wiki/video2wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 160 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,143 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 unknown 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 $0.00160 $0.02143
Opus 5 $0.00080 $0.01071
Sonnet 5 $0.00032 $0.00429
Haiku 4.5 $0.00016 $0.00214

Measured 11d ago against content hash ade087d272be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

video2wiki 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 11d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/batch.py, scripts/fetch.py, scripts/transcribe.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.cursor/skills/video2wiki/SKILL.md · 154 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 11d ago First seen · 154 lines · 160 tokens per session scan A ade087d272be

Subscribe to this mod's changes

video2wiki is a skill published in the GitHub repository liyading1818/obsidian-llm-wiki (7 stars, last pushed 2mo ago), with no licence file. It adds 160 tokens to every session and 2,143 once invoked, about $0.0008 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.

Related

Other skills, from other repositories

karpathy-llm-wiki

Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'.

Astro-Han/karpathy-llm-wiki · 67 tokens

link-memory

Use after important user-approved decisions, when durable context should be proposed or reviewed, and for explicit Link memory lifecycle work: remember, recall, review, update, archive, restore, forget, or explain local memories through the CLI without requiring MCP.

gowtham0992/link · 0 tokens

link-retrieve

Use before answering work that may depend on user memory, project history, source-backed notes, or prior decisions; retrieve compact Link context through the CLI without loading the whole wiki or requiring MCP.

gowtham0992/link · 42 tokens

link-health

Use at the start of Link work when readiness is unclear, after installs or upgrades, and before repairs; verify health, inspect interrupted writes, back up, and repair generated indexes without MCP.

gowtham0992/link · 41 tokens

link-ingest

Use when raw files are present, source pages look stale, or a user asks to ingest notes into Link; refresh source-backed wiki pages, propose memories, and validate updates through the CLI without MCP.

gowtham0992/link · 44 tokens

kb

Use when compiling raw sources into the wiki, querying the knowledge base, running health checks or lint on the wiki, evolving or improving wiki coverage, or when user says 'compile', 'update the wiki', 'query', 'lint', 'health check', 'evolve', 'what's missing', or 'suggest improvements'. Also triggers on questions…

rvk7895/llm-knowledge-bases · 80 tokens