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Video Outpainting Skill Security Audit

What the author says it does (original text)

>

Independent security check

Do not install or run it yet

Files checked
1
Risks found
4
Could it run dangerous commands?Looks for programs run straight after downloading, remote control of your computer, and hidden commands.Risks found: 2
High risk

Variable URLs and prompts are placed inside shell quotes, enabling possible command injection

Source references: 2
What we found

The examples wrap JSON in shell single quotes but give no safe encoding procedure for user-supplied URLs or prompts. If an agent substitutes those values directly, a single quote can terminate the argument and later shell metacharacters may be interpreted as commands. The Skill's “no shell-injection surface” claim concerns expansion by the CLI, not parsing by the shell before the CLI starts.

Why this matters

An attacker-controlled video URL, prompt, or copied text could run additional commands with the agent's permissions, potentially accessing or changing available files and credentials.

The example places JSON containing the URL and prompt inside a shell single-quoted argument. If an agent inserts user values by string substitution, a single quote in either value could terminate quoting and expose later shell metacharacters. Line 149 only describes the CLI after argument parsing; it does not remove the shell's earlier parsing risk. Users can ask for robust JSON/argument encoding and restrict inputs to validated values without shell control characters.

SKILL.md:68In the instructionsOpen original file
```bashruncomfy run wan-ai/wan-2-7/edit-video \  --input '{    "video_url": "https://your-cdn.example/vertical-clip.mp4",    "prompt": "Extend the canvas to 16:9 horizontal by adding matching environment on the left and right sides. Continue the existing background style, lighting, and camera distance throughout the clip. Preserve the original action and subject framing in the center."  }' \  --output-dir ./out```
Show 1 other places
SKILL.md:149In the instructionsOpen original file
- **Token storage**: `runcomfy login` writes the API token to `~/.config/runcomfy/token.json` with mode 0600. Set `RUNCOMFY_TOKEN` env var in CI / containers.- **Input boundary (shell injection)**: prompts and video URLs are passed as a JSON string via `--input`. The CLI does not shell-expand prompt content. **No shell-injection surface**.- **Indirect prompt injection (third-party content)**: source video URLs are **untrusted**. Agent mitigations:
Medium risk

Setup downloads and executes an unpinned npm package

Source references: 2
What we found

The Skill recommends globally installing @runcomfy/cli or using npx -y to fetch and run it automatically, without pinning a version or integrity value. The executed code therefore depends on whatever package version npm resolves at that time.

Why this matters

If the package account, publishing chain, or a later release is compromised, installation code runs with the invoking user's permissions. A global installation also makes lasting changes to the user's environment.

The installation commands do not pin a version. `npm i -g` installs whatever version resolves at that time, while `npx -y` automatically downloads and runs it. Using the named package manager is a useful restriction but does not provide version or integrity locking, so updated or compromised package code could execute. Users can require a pinned, reviewed version or prevent the skill from installing dependencies automatically.

SKILL.md:31In the instructionsOpen original file
```bash# 1. Install (see runcomfy-cli skill for details)npm i -g @runcomfy/cli      # or:  npx -y @runcomfy/cli --version
Show 1 other places
SKILL.md:147In the instructionsOpen original file
- **Install via verified package manager only.** Use `npm i -g @runcomfy/cli` or `npx -y @runcomfy/cli`. **Agents must not pipe an arbitrary remote install script into a shell on the user's behalf**.- **Token storage**: `runcomfy login` writes the API token to `~/.config/runcomfy/token.json` with mode 0600. Set `RUNCOMFY_TOKEN` env var in CI / containers.
Could it expose your files or keys?Looks for uploads of files containing passwords or keys, and keys written directly in the code.Risks found: 1
Medium risk

Video access URLs and editing prompts are disclosed to RunComfy

Source references: 2
What we found

The documented flow POSTs a request containing video_url and prompt to RunComfy's Model API. A private or signed CDN URL grants the service access to the video, while the prompt may contain client, project, or scene details.

Why this matters

The third-party service may receive source footage, temporary access tokens, and sensitive prompt content. The supplied file does not state its retention, training-use, deletion, or processing-location policies.

The documented flow sends `video_url` and `prompt` to RunComfy's Model API. This transmission is necessary for the advertised processing and is not hidden, but a private, signed, or internally reachable URL would expose that address and the prompt to a third-party service. Users should submit only authorized material and ask the author about retention, logging, and how URLs are fetched.

SKILL.md:38In the instructionsOpen original file
# 3. Spatially extend a video (closest CLI-reachable approach)runcomfy run wan-ai/wan-2-7/edit-video \  --input '{"video_url": "...", "prompt": "...extend canvas..."}' \  --output-dir ./out```
Show 1 other places
SKILL.md:143In the instructionsOpen original file
The skill picks Wan 2-7 Edit-Video for prompt-shaped canvas extension and invokes `runcomfy run` with the outpaint-shaped JSON body. The CLI POSTs to the Model API, polls request status, and downloads the result into `--output-dir`.
Could it delete files or keep running?Looks for broad file deletion, disk overwrites, and programs set to start automatically.No risks found
Could it bypass safety checks?Looks for skipped website security checks, excessive file access, or actions that skip your approval.Risks found: 1
Low risk

Login leaves a persistent API credential in the user's home directory

Source references: 2
What we found

The documentation says runcomfy login writes an API token to ~/.config/runcomfy/token.json. Mode 0600 limits access by other local users, but the token remains a persistent disk credential readable by processes running as the same user.

Why this matters

Malware, a compromised agent, or an unintended backup operating under that account could obtain the token and use the RunComfy account within the token's scope and lifetime.

The documentation explicitly says login persists the API token in the user's configuration directory. Mode 0600 blocks direct access by other local accounts, but software running as the same user, an account compromise, or backups may still expose it. Users can prefer a process-scoped environment variable, limit token privileges, and ask the author for revocation and rotation procedures.

SKILL.md:148In the instructionsOpen original file
- **Install via verified package manager only.** Use `npm i -g @runcomfy/cli` or `npx -y @runcomfy/cli`. **Agents must not pipe an arbitrary remote install script into a shell on the user's behalf**.- **Token storage**: `runcomfy login` writes the API token to `~/.config/runcomfy/token.json` with mode 0600. Set `RUNCOMFY_TOKEN` env var in CI / containers.- **Input boundary (shell injection)**: prompts and video URLs are passed as a JSON string via `--input`. The CLI does not shell-expand prompt content. **No shell-injection surface**.
Show 1 other places
SKILL.md:34In the instructionsOpen original file
# 2. Sign inruncomfy login              # or in CI: export RUNCOMFY_TOKEN=<token>
Could it mislead the AI or hide text?Checks the skill instructions for requests to ignore you, influence the report, or hide text in invisible characters.No risks found
Could it change links or payment recipients without asking?Looks for forced referral or payment changes combined with instructions to hide the change.No risks found

Inside this skill

8 instruction sections

The Skill defaults to RunComfy's Wan 2-7 Edit-Video, sends a video URL and editing prompt to its Model API, polls the job, and downloads the generated result to a local output directory.

View source
SKILL.md:38In the instructionsOpen original file
# 3. Spatially extend a video (closest CLI-reachable approach)runcomfy run wan-ai/wan-2-7/edit-video \  --input '{"video_url": "...", "prompt": "...extend canvas..."}' \  --output-dir ./out```
SKILL.md:143In the instructionsOpen original file
The skill picks Wan 2-7 Edit-Video for prompt-shaped canvas extension and invokes `runcomfy run` with the outpaint-shaped JSON body. The CLI POSTs to the Model API, polls request status, and downloads the result into `--output-dir`.

For higher seam quality, the Skill does not perform local processing; it directs the user to RunComfy-hosted ComfyUI cloud workflows.

View source
SKILL.md:87In the instructionsOpen original file
The endpoint above handles aspect-ratio swap well for most uses. For spatial frame expansion with strict temporal consistency, seam handling, and motion-aware fill, RunComfy hosts dedicated ComfyUI workflows:| Workflow | What ||---|---|| [LTX 2-3 outpainting in ComfyUI — spatial frame expansion](https://www.runcomfy.com/comfyui-workflows/ltx-2-3-outpainting-in-comfyui-spatial-frame-expansion-workflow?utm_source=skills.sh&utm_medium=skill&utm_campaign=video-outpainting) | Dedicated video outpainting workflow using LTX 2-3 || Browse [comfyui-workflows](https://www.runcomfy.com/comfyui-workflows?utm_source=skills.sh&utm_medium=skill&utm_campaign=video-outpainting) for "outpaint" | Additional video outpainting graphs from the community |These are GUI workflows, not CLI endpoints. The CLI can't reach them — open them in the RunComfy ComfyUI cloud.

The Skill declares that agent Bash access is limited to runcomfy commands, but its setup instructions additionally ask the user to execute npm or npx; login persists a token in the user's configuration directory.

View source
SKILL.md:3In the instructionsOpen original file
name: video-outpaintingallowed-tools: Bash(runcomfy *)displayName: "Video Outpainting"
SKILL.md:32In the instructionsOpen original file
# 1. Install (see runcomfy-cli skill for details)npm i -g @runcomfy/cli      # or:  npx -y @runcomfy/cli --version# 2. Sign inruncomfy login              # or in CI: export RUNCOMFY_TOKEN=<token>
SKILL.md:148In the instructionsOpen original file
- **Install via verified package manager only.** Use `npm i -g @runcomfy/cli` or `npx -y @runcomfy/cli`. **Agents must not pipe an arbitrary remote install script into a shell on the user's behalf**.- **Token storage**: `runcomfy login` writes the API token to `~/.config/runcomfy/token.json` with mode 0600. Set `RUNCOMFY_TOKEN` env var in CI / containers.- **Input boundary (shell injection)**: prompts and video URLs are passed as a JSON string via `--input`. The CLI does not shell-expand prompt content. **No shell-injection surface**.
Start here · InstructionsSKILL.md
video-outpainting
Lines connect the instruction file to its sections, not an observed execution order. Select a section to read the source. 2 more sections are available in the original file.
Files and check records1 files

Coverage and gaps

Content covered in each file

These are the source ranges included in this check, not a guarantee that every issue has been resolved.

  • SKILL.mdFull text included

This report is for the version above. We read the available code and instructions without running the skill or checking extra packages it installs. This is not a promise of safety: a different version or setup may behave differently.

  • SKILL.mdInstructions

Operations mentioned in code and instructions

Run commands
SKILL.md:3In the instructionsOpen original file
name: video-outpaintingallowed-tools: Bash(runcomfy *)displayName: "Video Outpainting"
SKILL.md:30In the instructionsOpen original file
```bash# 1. Install (see runcomfy-cli skill for details)
SKILL.md:67In the instructionsOpen original file
```bashruncomfy run wan-ai/wan-2-7/edit-video \
Connect to websites
SKILL.md:18In the instructionsOpen original file
  spatially beyond its original frame.homepage: https://www.runcomfy.comlicense: MIT
SKILL.md:26In the instructionsOpen original file
[runcomfy.com](https://www.runcomfy.com/?utm_source=skills.sh&utm_medium=skill&utm_campaign=video-outpainting) · [Wan 2-7 edit-video](https://www.runcomfy.com/models/wan-ai/wan-2-7/edit?utm_source=skills.sh&utm_medium=skill&utm_campaign=video-outpainting) · [CLI docs](https://docs.runcomfy.com/cli/introduction?utm_source=skills.sh&utm_medium=skill&utm_campaign=video-outpainting)
SKILL.md:43In the instructionsOpen original file
CLI deep dive: [`runcomfy-cli`](https://www.skills.sh/agentspace-so/runcomfy-agent-skills/runcomfy-cli) skill.
Install extra software packages
SKILL.md:32In the instructionsOpen original file
# 1. Install (see runcomfy-cli skill for details)npm i -g @runcomfy/cli      # or:  npx -y @runcomfy/cli --version
SKILL.md:147In the instructionsOpen original file
- **Install via verified package manager only.** Use `npm i -g @runcomfy/cli` or `npx -y @runcomfy/cli`. **Agents must not pipe an arbitrary remote install script into a shell on the user's behalf**.- **Token storage**: `runcomfy login` writes the API token to `~/.config/runcomfy/token.json` with mode 0600. Set `RUNCOMFY_TOKEN` env var in CI / containers.
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