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 skill-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/skill-creator)<a href="https://agentmods.dev/skills/lapis0x0/obsidian-yolo/skill-creator"><img src="https://agentmods.dev/badge/skills/lapis0x0/obsidian-yolo/skill-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/skill-creator"><img src="https://agentmods.dev/badge/skills/lapis0x0/obsidian-yolo/skill-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 | $0.00051 | $0.02066 |
| Opus 5.5 | $0.00020 | $0.00826 |
| Sonnet 5.5 | $0.00010 | $0.00413 |
| Haiku 4.5 | $0.00005 | $0.00207 |
Grade A, and why
skill-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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
This skill provides guidance for creating effective YOLO skills.
About Skills
Skills are self-contained Markdown files that extend the agent's capabilities by providing specialized knowledge and workflows. Think of them as "onboarding guides" for specific domains or tasks. They transform a general-purpose agent into a specialized one equipped with procedural knowledge that no model can fully possess.
What Skills Provide
- Specialized workflows - Multi-step procedures for specific domains
- Domain expertise - Company-specific knowledge, schemas, business logic
- Tool guidance - Instructions for working with specific file formats or vault structures
- Quality standards - Output patterns, naming conventions, and verification checklists
Core Principles
Concise Is Key
The context window is a public good. Skills share the context window with the system prompt, conversation history, other skills metadata, and the actual user request.
Default assumption: the model is already very smart. Only add context the model does not already have. Challenge each piece of information: "Does the model really need this explanation?" and "Does this paragraph justify its token cost?"
Prefer concise examples over verbose explanations.
Set Appropriate Degrees of Freedom
Match the level of specificity to the task's fragility and variability:
- High freedom (text-based guidance): Use when multiple approaches are valid, decisions depend on context, or heuristics guide the approach.
- Medium freedom (structured steps with defaults): Use when a preferred pattern exists, some variation is acceptable, or configuration affects behavior.
- Low freedom (strict sequence, explicit constraints): Use when operations are fragile and error-prone, consistency is critical, or a specific sequence must be followed.
Think of the agent as exploring a path: a narrow bridge with cliffs needs specific guardrails (low freedom), while an open field allows many routes (high freedom).
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 Changed · -29 lines 64efed1b158e
- 1mo ago First seen · 256 lines · 51 tokens per session scan A 21047eb1b3f1
skill-creator is a skill published in the GitHub repository Lapis0x0/obsidian-yolo (1,376 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 2,066 once invoked, about $0.0002 per session on Opus 5.5. 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.
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