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.
git clone --depth 1 https://github.com/jovaneyck/obsidian-ai-agent-stuffWrote 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/commands/jovaneyck/obsidian-ai-agent-stuff/generate-quiz)<a href="https://agentmods.dev/commands/jovaneyck/obsidian-ai-agent-stuff/generate-quiz"><img src="https://agentmods.dev/badge/commands/jovaneyck/obsidian-ai-agent-stuff/generate-quiz/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/commands/jovaneyck/obsidian-ai-agent-stuff/generate-quiz"><img src="https://agentmods.dev/badge/commands/jovaneyck/obsidian-ai-agent-stuff/generate-quiz.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.01491 |
| Opus 5 | $0.00000 | $0.00745 |
| Sonnet 5 | $0.00000 | $0.00298 |
| Haiku 4.5 | $0.00000 | $0.00149 |
Grade A, and why
generate-quiz 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 10d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Knowledge Vault Quiz
You are going to create and run an interactive quiz based on the contents of this knowledge vault using ChromaDB.
Quiz Parameters
Number of Questions: {{num_questions}} (default: 10 if not specified)
Topic Focus: {{topic}} (if specified, focus all questions on this specific topic; if not specified, make the quiz as broad and diverse as possible across all vault content)
Instructions
-
Topic Discovery Using ChromaDB:
- Use ChromaDB MCP tools to access the "notes" collection
- If a specific topic is provided:
- Use
mcp__chroma__chroma_query_documentsto search for documents semantically related to the topic - Limit to 10-15 most relevant documents for focused quiz content
- Use
- If no topic is specified:
- First, get the total document count using
mcp__chroma__chroma_get_collection_count - Generate random offset values dynamically using Python or command-line tools
- Use
mcp__chroma__chroma_get_documentswith these random offsets to get diverse content - Aim for 15-20 diverse documents across different domains
- First, get the total document count using
-
Document Retrieval and Content Analysis:
- After identifying relevant documents from ChromaDB, use the Read tool to access the actual markdown files
- Extract file paths from the ChromaDB metadata and read only those specific files
- Analyze content for key concepts, frameworks, and interconnected ideas
- Focus on understanding, not just facts
-
Question Generation:
- If a specific topic is provided, generate ALL questions about that topic only
- If no topic is specified, create the most diverse quiz possible - pull from different domains (software craftsmanship, cognitive science, systems thinking, AI, leadership, coaching, etc.)
- Use only content from this knowledge vault - don't inject external knowledge
- Create multiple choice questions with 4 options each
- Ensure questions test understanding, not just memorization. You can do this by providing out-of-order listings, paraphrasing etc.
- CRITICAL: When creating multiple choice options, ensure that each option is meaningfully different and tests real understanding. Avoid creating options that are merely reordered lists of the same elements.
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.
- 10d ago First seen · 132 lines · 0 tokens per session scan A 7a42257d0064
generate-quiz is a command published in the GitHub repository jovaneyck/obsidian-ai-agent-stuff (99 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,491 tokens. 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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