Agent skill · Audited from source

Image Studio

skill · vellum-ai/vellum-assistantMIT licenceAudited 14 Oct 2026 · source 19bc86343b63

★ 1,425pushed 1 day ago
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 19bc863
1,425repo stars · whole vellum-ai/vellum-assistant

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 19bc86343b63 and observed filesystem access and no hard-coded secrets. What it does: Create images from a text description, or edit photos and graphics the user provides (remove backgrounds or watermarks, retouch, restyle, in-paint). Can produce multiple variants when the user wants options to choose…

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Cite this page

ModelsAtlas. “Image Studio (vellum-ai/vellum-assistant)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/vellum-ai/image-studio

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium10 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemDeclared5 observations
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS5
L1 Static sourceSecrets, path traversal, supply chain, hidden codePASS5
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (10)

LOWFilesystem / pathfs.traversal · tools/media-generate-image.ts:7
F-05 Filesystem / pathCWE-22 · CWE-59Layer L1
} from "../../../../media/image-credentials.js";
Why
No further detail recorded for this rule.
Fix
—
LOWFilesystem / pathfs.traversal · tools/media-generate-image.ts:8
F-05 Filesystem / pathCWE-22 · CWE-59Layer L1
import { resolveRequestedImageModel } from "../../../../media/image-models.js";
Why
No further detail recorded for this rule.
Fix
—
LOWFilesystem / pathfs.traversal · tools/media-generate-image.ts:12
F-05 Filesystem / pathCWE-22 · CWE-59Layer L1
} from "../../../../media/image-service.js";
Why
No further detail recorded for this rule.
Fix
—
LOWFilesystem / pathfs.traversal · tools/media-generate-image.ts:13
F-05 Filesystem / pathCWE-22 · CWE-59Layer L1
import { getFilePathBySourcePath } from "../../../../persistence/attachments-store.js";
Why
No further detail recorded for this rule.
Fix
—
LOWFilesystem / pathfs.traversal · tools/media-generate-image.ts:14
F-05 Filesystem / pathCWE-22 · CWE-59Layer L1
import type { ImageContent } from "../../../../providers/types.js";
Why
No further detail recorded for this rule.
Fix
—

Audit 0.4.1 · source sha 19bc86343b63 · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishervellum-ai GitHub organizationOwner of the repository this skill is read from
  • Source foldervellum-ai/vellum-assistant/assistant/src/config/bundled-skills/image-studioThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict19bc86343b63A new audit runs when the source changes
  • Repository statusNot archivedLast push 1 day ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Create images from a text description, or edit photos and graphics the user provides (remove backgrounds or watermarks, retouch, restyle, in-paint). Can produce multiple variants when the user wants options to choose…

---
name: image-studio
description: Create images from a text description, or edit photos and graphics the user provides (remove backgrounds or watermarks, retouch, restyle, in-paint). Can produce multiple variants when the user wants options to choose from.
compatibility: "Designed for Vellum personal assistants"
metadata:
  emoji: "🎨"
  vellum:
    display-name: "Image Studio"
    category: "content"
    activation-hints:
      - "User asks to generate, draw, or create an image from a text prompt"
      - "User wants to edit an existing image: background removal, watermark removal, in-painting, style change, retouching"
      - "User wants multiple variations of a visual (logo concepts, mood boards, illustration options)"
---

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, slower
- `openai`: 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):

```json
{
  "tool": "media_generate_image",
  "input": {
    "prompt": "A sunset over the ocean, golden hour, soft haze, 35mm photo style",
    "variants": 2
  }
}
```

Edit:

```json
{
  "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.

## Prompting

- Generate: describe style, composition, lighting, and mood, not just the subject.
- Edit: name the change AND what must stay the same. Models re-render the whole image, so without preservation language ("keep subject, framing, and lighting identical; only change X") they drift on crop and color.
- Aspect ratio and size have no parameter today. State them in the prompt ("16:9 widescreen banner") and verify the output.
- Use `variants` (1 to 4) when the user wants options. In **edit mode always use `variants: 1`**: edits run 60-90 seconds per variant, and two variants can exceed the tool execution timeout (`timeouts.toolExecutionTimeoutSec`, default 120s). If the user wants multiple edit options, make separate sequential calls.

## Timing

Edits on large photos are slow (1 to 2 minutes). If the tool reports a timeout ("timed out after Ns"), the result is lost; do not wait for it to appear. Retry with `variants: 1`, or if it already was 1, fall back to the CLI which writes files to disk: `assistant image-generation generate --prompt "..." --mode edit --source <path> --model openai --output-dir <dir>`.

## Output handling

Each generated image is saved into the workspace under `media/generated/` and the tool result lists the saved paths. The images also come back as inline content blocks so you can judge the result before presenting it.

- Present an image to the user by embedding its saved path in your reply: `![short description](vellum://workspace/media/generated/<file>.png)`. The app renders it inline where your text refers to it, and chat channels (Slack, Telegram, WhatsApp) deliver it as a native image upload.
- Label a plain image link "View image", for example `[View image](vellum://workspace/media/generated/<file>.png)`. The link opens a preview; do not call it "Download" or promise a download in the surrounding text. To save the image, the user can choose Download in the preview.
- If you do not embed it, the image is still auto-attached to your reply as a file, so it is never lost. Prefer embedding: an attachment chip at the end of the message is a worse presentation than the image inline.
- To iterate on a result, pass its saved path via `source_paths` with `mode: "edit"`.

## Error handling

Two kinds of failure. Treat them differently:

1. **Configuration errors** (missing API key, provider not set up): report the error to the user as-is. Do NOT change service configuration (managed vs your-own mode, default provider, or default model in Settings). Configuration changes happen only at the user's explicit request.
2. **Generation failures** (any other error: "invalid", content policy, safety rejection, provider error). Do not diagnose the cause; switch providers. The error message names the model that failed:
   - If the error names a `gemini-*` model (or no model) → retry ONCE with `model: "openai"`.
   - If the error names `gpt-image-2` or another `gpt-*` model → retry ONCE with `model: "quality"`.
   - If the retry also fails → stop and report both errors to the user.

Do NOT rephrase the prompt and retry on the same model, even if the error suggests checking the prompt. One provider switch,

Excerpt, first 6,001 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 19bc863

Download folder ↗
git clone https://github.com/vellum-ai/vellum-assistant
git -C vellum-assistant checkout 19bc86343b63

The author documents no install command, so this uses the repository directly. Our verdict covers commit 19bc86343b63 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 19bc86343b63

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/vellum-ai/image-studio/badge.svg)](https://modelsatlas.com/skills/vellum-ai/image-studio/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

Add this badge to your README

[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/vellum-ai/image-studio/badge.svg)](https://modelsatlas.com/skills/vellum-ai/image-studio/)

Questions about Image Studio

What does the Image Studio skill do?
An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time.
Is Image Studio safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Image Studio access on my machine?
The audit observed that it reads or writes files. Each of those is consistent with what it says it does. Secrets in the source: none found.
What do I need installed to use Image Studio?
Its own instructions reference source_paths. Dependencies are pinned to exact versions.
How current is this page?
The grade is for one exact copy of the source (19bc86343b63), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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