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 image-studiogit 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/image-studio)<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/image-studio"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/image-studio/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/image-studio"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/image-studio.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 | $0.00049 | $0.01376 |
| Opus 5 | $0.00024 | $0.00688 |
| Sonnet 5 | $0.00010 | $0.00275 |
| Haiku 4.5 | $0.00005 | $0.00138 |
Grade A, and why
image-studio 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use the media_generate_image tool via skill_execute to create or edit images.
Modes
- generate (default): Create a new image from a text prompt.
- edit: Modify an existing image. Requires one or more source images via
source_paths.
Models
Do not pass the model parameter unless you need a specific tier. Omitting it uses the configured default, which is correct for most requests.
When you do need to choose, use an alias, not a concrete model ID. Aliases always resolve to the current model for that tier:
fast: quickest, good quality (default tier)quality: higher fidelity, sloweropenai: OpenAI's model; most permissive on photo edits
Pass a concrete model ID only if the user names one explicitly. If the tool rejects an unknown model ID, the error lists the currently available models and aliases.
Example calls
Generate (no model parameter, default is correct):
{ "tool": "media_generate_image", "input": { "prompt": "A sunset over the ocean, golden hour, soft haze, 35mm photo style", "variants": 2 } }
Edit:
{ "tool": "media_generate_image", "input": { "prompt": "Remove the watermark text from the background. Keep the subject, framing, lighting, and colors exactly identical. Change nothing else.", "mode": "edit", "source_paths": ["conversations/<conv-id>/attachments/photo.jpeg"], "model": "openai" } }
source_paths is a flat array of file path strings. Do NOT pass objects:
- Wrong:
"source_paths": [{ "path": "img.jpeg" }]→ schema validation error - Right:
"source_paths": ["img.jpeg"]
Source images for edit mode
- Paths resolve inside the workspace. Conversation attachments live under
conversations/<conversation-id>/attachments/; prefer that path for images the user attached. - Host paths (e.g.
~/Desktop/photo.jpg) only work if the file arrived as an attachment; the tool falls back to the stored workspace copy. If the user references a host file that was never attached, pull it into the workspace first, then pass the workspace path.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 93 lines · 49 tokens per session scan A 53a3c4669dda
image-studio is a skill published in the GitHub repository vellum-ai/vellum-assistant (1,214 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 1,376 once invoked, about $0.0002 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.
Other skills, from other repositories
make-viral-video
Build a short news-explainer video tuned for shareability. One striking moment per video; real fetched assets; self-heal validation; pluggable TTS (Gemini-free default, OpenAI fallback).
gemini-tts
Render text to mp3 via Google Gemini Flash TTS. Free-tier eligible (1500 req/day). Use for video narration, demo voiceovers, audio notes. Parallels openai-tts; default for make-viral-video.
image-generation
Generate and edit images using Gemini Flash Image, and generate videos using Veo. Supports text-to-image, image editing, text-to-video, and image-to-video.
audio-transcribe
Transcribes audio files and voice notes to text via Gemini 2.5-flash. Integrates with Slack, Discord, and Telegram bridges so voice clips surface as readable text in tasks.
screen-record
Start or stop a screen recording of the Mac via ffmpeg. Use when the user asks to record/capture their screen to a video file (a demo, a repro, a walkthrough) — not for a single still screenshot (use macos-tools screen capture for that).
openai-tts
Render text to mp3 via OpenAI's tts-1-hd. Use for video narration, demo voiceovers, audio notes.