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/codekiln/logseq-cursor-rulesWrote 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/rules/codekiln/logseq-cursor-rules/logseq-youtube-notes)<a href="https://agentmods.dev/rules/codekiln/logseq-cursor-rules/logseq-youtube-notes"><img src="https://agentmods.dev/badge/rules/codekiln/logseq-cursor-rules/logseq-youtube-notes/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/rules/codekiln/logseq-cursor-rules/logseq-youtube-notes"><img src="https://agentmods.dev/badge/rules/codekiln/logseq-cursor-rules/logseq-youtube-notes.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 | $0.00013 | $0.01723 |
| Opus 5.5 | $0.00005 | $0.00689 |
| Sonnet 5.5 | $0.00003 | $0.00345 |
| Haiku 4.5 | $0.00001 | $0.00172 |
Grade A, and why
logseq-youtube-notes 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logseq-Flavored Markdown (LFM) YouTube transcript headings
This rule applies to 'pages/*.md' that have a YouTube video with a transcript. It is an extension to Logseq Flavored Markdown (project rule in logseq-flavored-markdown.mdc).
Youtube video begins with a block like this:
- ## [[Video]]
- {{video https://www.youtube.com/watch?v=abcdefghijklmnop}}
- NOTES SHOULD GO HERE UNDERNEATH THE VIDEO
Basic Transcript Organization
The transcript should be organized with logical sections and proper hierarchical headings. Each major section should start with a timestamp-based heading. THE HEADINGS MUST BE NESTED UNDER THE VIDEO AND INCLUDE TIMESTAMPS for them to be clickable in logseq. Maintain proper logseq-flavored markdown throughout. Use quotes from the transcript and clean up the transcript, attempting to fix spelling or technology names where appropriate. The transcript of youtube videos is done by AI and may contain mistakes you should try to correct based on the context.
Heading Structure
- Use
### {{youtube-timestamp X}}for main sections - Use
####for subsections - Use
#####for detailed points within subsections - Always maintain proper indentation using TABs
Semantic Linking / Logseq Page Links
- Convert relevant terms into Logseq Page Links using
[[Topic]]format if and onl if a given Logseq Page is known known to exist - Do not invent link to Logseq Pages that do not already exist
- if you invent a logseq page to link to it will just introduce a duplicate into the knowledge management system, so do not do that
- Some common ones you CAN use
- #Example
- [[AI Coding]]
- [[Py]] for python
- see
pages/Index.mdfor a list of pages you can link to
Content Formatting
- Break long monologues into natural speech patterns
- Use bullet points for lists and sub-points
- Use bold for emphasis on key concepts
- Group related ideas under appropriate subheadings
Example of Improved Formatting:
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 First seen · 111 lines · 13 tokens per session scan A dba50cb5cbe1
logseq-youtube-notes is a cursor rule published in the GitHub repository codekiln/logseq-cursor-rules (2 stars, last pushed 1y ago), licensed MIT. It adds 13 tokens to every session and 1,723 once invoked, about $0.0001 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 2026-08-31.
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