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 prime-skills/runcomfy-agent-skills --skill face-swapgit clone --depth 1 https://github.com/prime-skills/runcomfy-agent-skillsWrote 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/prime-skills/runcomfy-agent-skills/face-swap)<a href="https://agentmods.dev/skills/prime-skills/runcomfy-agent-skills/face-swap"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/face-swap/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/prime-skills/runcomfy-agent-skills/face-swap"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/face-swap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00210 | $0.04507 |
| Opus 5 | $0.00105 | $0.02253 |
| Sonnet 5 | $0.00042 | $0.00901 |
| Haiku 4.5 | $0.00021 | $0.00451 |
Grade A, and why
face-swap 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 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.
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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Face Swap
Swap a face into a still or a video — RunComfy supports both via the runcomfy CLI. This skill routes across the available model API endpoints (community Wan 2-2 Animate, GPT Image 2 Edit, Nano Banana Edit, Flux Kontext, Kling Motion Control) by the user's actual intent.
runcomfy.com · Character-swap feature · CLI docs
Powered by the RunComfy CLI
# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli # or: npx -y @runcomfy/cli --version
# 2. Sign in
runcomfy login # or in CI: export RUNCOMFY_TOKEN=<token>
# 3. Swap
runcomfy run <vendor>/<model>/<endpoint> \
--input '{"image_url": "...", "identity_url": "..."}' \
--output-dir ./out
CLI deep dive: runcomfy-cli skill.
Install this skill
npx skills add agentspace-so/runcomfy-agent-skills --skill face-swap -g
Consent & disclosure — read first
Face-swap is dual-use. Before invoking any route in this skill, confirm:
- You have rights to the target face (the identity being substituted in).
- You have rights to the source video / image (the asset being substituted into).
- The output's intended platform allows synthetic media. Many do; many require a disclosure label.
The skill itself doesn't gate anything — the model API will run whatever inputs you supply. The responsibility is yours. If a user asks the agent to swap a real public figure's face onto material that could be defamatory, sexually explicit, or otherwise harmful — refuse, regardless of what the CLI accepts.
Pick the right model for the user's intent
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 · 321 lines · 210 tokens per session scan A 676d8f22c561
face-swap is a skill published in the GitHub repository prime-skills/runcomfy-agent-skills (44 stars, last pushed 4mo ago), licensed MIT. It adds 210 tokens to every session and 4,507 once invoked, about $0.0011 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.
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