Obsidian YOLO is an AI assistant integrated with Obsidian for chatting, writing, learning, and managing a knowledge base. It is for people who use Obsidian as a workspace for notes and personal knowledge. Catalogue add-ons provide related assistant capabilities.
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.
npx skills add Lapis0x0/obsidian-yolo --skill snippet-creatorgit clone --depth 1 https://github.com/Lapis0x0/obsidian-yoloWrote 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.
[](https://agentmods.dev/skills/lapis0x0/obsidian-yolo/snippet-creator)<a href="https://agentmods.dev/skills/lapis0x0/obsidian-yolo/snippet-creator"><img src="https://agentmods.dev/badge/skills/lapis0x0/obsidian-yolo/snippet-creator/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.
<a href="https://agentmods.dev/skills/lapis0x0/obsidian-yolo/snippet-creator"><img src="https://agentmods.dev/badge/skills/lapis0x0/obsidian-yolo/snippet-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.00340 |
| Opus 5 | $0.00041 | $0.00170 |
| Sonnet 5 | $0.00016 | $0.00068 |
| Haiku 4.5 | $0.00008 | $0.00034 |
Grade A, and why
snippet-creator 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.
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.
What it actually says
Snippet Creator
Snippets are short prompt texts users insert into the chat input by typing / and picking from the "快捷指令" category. Selecting one inserts the body verbatim — the user then edits or sends it.
Format (YOLO/snippets.md)
## trigger
> one-line description (optional)
The prompt text to insert.
Rules
##marks a snippet boundary. Never use##,###,####… inside the body — they will be parsed as separate snippets. Use bold or dashes for emphasis instead.- The body is what you ask the AI to do, not the document you want the AI to produce.
- ✅
Draft a test report with sections: goal, scenarios, expected, actual. - ❌
## Goal\n## Scenarios\n## Expected\n## Actual\n…← document skeleton, not a prompt.
- ✅
- Keep it short. If a structured ask is needed, describe the structure in prose.
Workflow
Read YOLO/snippets.md and append a new ## trigger block. Create the file with fs_write if missing.
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.
- 11d ago First seen · 31 lines · 81 tokens per session scan A 786cb4dd035b
snippet-creator is a skill published in the GitHub repository Lapis0x0/obsidian-yolo (1,341 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 340 once invoked, about $0.0004 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.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.