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 agentmods add skills/onebrain-ai/onebrain/bookmarknpx skills add onebrain-ai/onebrain --skill bookmarkgit clone --depth 1 https://github.com/onebrain-ai/onebrainWrote 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/onebrain-ai/onebrain/bookmark)<a href="https://agentmods.dev/skills/onebrain-ai/onebrain/bookmark"><img src="https://agentmods.dev/badge/skills/onebrain-ai/onebrain/bookmark.svg" alt="Measured on agentmods" 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 | $0.00091 | $0.00897 |
| Opus 5 | $0.00046 | $0.00449 |
| Sonnet 5 | $0.00018 | $0.00179 |
| Haiku 4.5 | $0.00009 | $0.00090 |
Grade A, and why
bookmark 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 4d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bookmark
Save a URL to your Bookmarks.md file in one step. Paste the link : the AI fills in the name and description, picks a category, and saves immediately.
Usage: /bookmark [url]
Step 1: Get the URL
If a URL was provided after the command, use it directly.
If not, ask:
What URL do you want to bookmark?
Step 2: Fetch the Page
Fetch the page content. Extract:
- Name: page title or product name (prefer
<title>or<h1>) - Description: 1-line summary (~15 words) from meta description or page body
If fetch fails, ask:
I couldn't fetch that URL. What should I call it, how would you describe it in one line, and what category fits best?
Use the user's answers and continue normally.
Step 3: Pre-Save Checks
Duplicate check: grep [resources_folder]/Bookmarks.md for the URL ([resources_folder] from Step 2). If already present, tell the user and stop (unless they confirm to save again).
Existing summary note: grep [resources_folder]/**/*.md for url: [URL] in frontmatter. If found, record its title for use as a wikilink in the entry.
Step 4: Pick Category
Infer the best category and optional subcategory from the content : do not ask. Use the structure:
- Level 1 (
##): broad domain :AI Tools,Design,Dev Utilities,Productivity,Reading,Learning,Finance,Health,Reference - Level 2 (
###): optional refinement : only when it adds meaningful grouping
Create new categories freely when none fit.
Step 5: Save to Bookmarks.md
Build the entry:
- **[Name](URL)** : Description. → [[Summary Note Title]]
(Omit the wikilink if no summary note was found in Step 3.)
File path: [resources_folder]/Bookmarks.md ([resources_folder] from Step 2).
If the file does not exist, create it:
---
tags: [bookmarks, resources]
created: YYYY-MM-DD
updated: YYYY-MM-DD
---
# Bookmarks
Append under the correct ## / ### section (alphabetical order). Create missing sections in alphabetical position. Refresh updated in frontmatter.
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.
- 4d ago First seen · 110 lines · 91 tokens per session scan A 7ffd3e306d4b
bookmark is a skill published in the GitHub repository onebrain-ai/onebrain (25 stars, last pushed 6d ago), licensed Apache-2.0. It adds 91 tokens to every session and 897 once invoked, about $0.0005 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.
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