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 Livus-AI/Skills-MCP --skill swap-facegit clone --depth 1 https://github.com/Livus-AI/Skills-MCPWrote 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/livus-ai/skills-mcp/swap-face)<a href="https://agentmods.dev/skills/livus-ai/skills-mcp/swap-face"><img src="https://agentmods.dev/badge/skills/livus-ai/skills-mcp/swap-face/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/livus-ai/skills-mcp/swap-face"><img src="https://agentmods.dev/badge/skills/livus-ai/skills-mcp/swap-face.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00032 | $0.00323 |
| Opus 5 | $0.00016 | $0.00161 |
| Sonnet 5 | $0.00006 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
swap-face 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 12d 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.
curl -X POST ${VISUALS_API_URL:-https://visuals-ai.vercel.app}/api/workflow/execute \ What it actually says
Swap Face Workflow
Replace the model's face in a product image with a different person's face, keeping the clothing and pose intact.
Input handling
This workflow requires TWO images:
- Product image (with model wearing clothes) - handle as per
change-colorskill - Face source (the face to swap in) - can also be Shopify URL, local file, or direct URL
Execute workflow
curl -X POST ${VISUALS_API_URL:-https://visuals-ai.vercel.app}/api/workflow/execute \
-H "Authorization: Bearer ${VISUALS_API_KEY}" \
-H "Content-Type: application/json" \
-d '{
"workflowId": "swap-face",
"inputs": {
"prompt": "Swap the face while keeping clothing and pose exactly the same"
},
"images": {
"productImage": "<product_image_url>",
"faceSource": "<face_source_url>"
}
}'
Note: Both images need proper handling:
- If either is a Shopify URL, fetch and let user choose the image
- If either is a local file, convert to base64
- If direct URLs, use as-is
Poll for completion as described in change-color skill.
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.
- 12d ago First seen · 41 lines · 32 tokens per session scan A b85c63f0c7d1
swap-face is a skill published in the GitHub repository Livus-AI/Skills-MCP (2 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 323 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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