Vellum Assistant is a personal AI assistant that remembers information about users, learns their preferences, and takes actions across connected apps. It is intended for people who want an assistant that can manage conversations, unfinished work, and proactive notifications over time. The catalogue skills, hooks, instruction, and setting configure or extend how the assistant works.
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 vellum-ai/vellum-assistant --skill vellum-browser-usegit clone --depth 1 https://github.com/vellum-ai/vellum-assistantWrote 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/vellum-ai/vellum-assistant/vellum-browser-use)<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/vellum-browser-use"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/vellum-browser-use/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/vellum-ai/vellum-assistant/vellum-browser-use"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/vellum-browser-use.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 | $0.00015 | $0.02500 |
| Opus 5.5 | $0.00006 | $0.01000 |
| Sonnet 5.5 | $0.00003 | $0.00500 |
| Haiku 4.5 | $0.00002 | $0.00250 |
Grade A, and why
vellum-browser-use scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
If navigate, curl, or any fetch times out, hits an auth wall, or cannot reach a host (VPN, company login, internal dashboard): How it starts
The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this skill to browse the web. All browser operations are executed through the assistant browser CLI, invoked via bash or host_bash. Each operation is a subcommand:
| Command | Description |
|---|---|
assistant browser navigate |
Navigate to a URL |
assistant browser snapshot |
List interactive elements on the current page |
assistant browser screenshot |
Take a visual screenshot |
assistant browser click |
Click an element |
assistant browser type |
Type text into an input |
assistant browser press-key |
Press a keyboard key |
assistant browser scroll |
Scroll the page or a specific element |
assistant browser select-option |
Select an option from a native <select> element |
assistant browser hover |
Hover over an element to reveal menus/tooltips |
assistant browser wait-for |
Wait for a condition |
assistant browser extract |
Extract page text content |
assistant browser wait-for-download |
Wait for a file download to complete |
assistant browser fill-credential |
Fill a stored credential into a form field |
assistant browser attach |
Attach the Chrome debugger to the active tab |
assistant browser detach |
Detach the Chrome debugger from the active tab |
assistant browser close |
Close the browser page |
assistant browser status |
Diagnose browser backend readiness and setup steps |
Getting Started — Check Browser Readiness
Before using any browser commands, run assistant browser --json status first to check which browser backends are available. The status command returns JSON with readiness information for each backend mode:
assistant browser --json status
The response includes:
recommendedMode— the best available backend (use this)modes[]— per-mode status withavailable,summary, anduserActions(remediation steps)
For --virtual-desktop, Chrome and desktop components are included in the assistant image. Browser and computer use start the existing desktop without installing dependencies. If components are missing, report the image problem; do not install packages or launch a separate Chrome process.
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 · +2 lines 2ecaa079d543
- 1mo ago Changed · +8 lines b1ced40fb423
- 1mo ago Changed 156d8f14b2d3
- 1mo ago Changed · +11 lines c16d22b49590
- 1mo ago First seen · 196 lines · 15 tokens per session scan A 7ed38008bb89
vellum-browser-use is a skill published in the GitHub repository vellum-ai/vellum-assistant (1,452 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 2,500 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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