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 Elumenotion/GuideAnts --skill qwen-imagegit clone --depth 1 https://github.com/Elumenotion/GuideAntsWrote 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/elumenotion/guideants/qwen-image)<a href="https://agentmods.dev/skills/elumenotion/guideants/qwen-image"><img src="https://agentmods.dev/badge/skills/elumenotion/guideants/qwen-image/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/elumenotion/guideants/qwen-image"><img src="https://agentmods.dev/badge/skills/elumenotion/guideants/qwen-image.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 | $0.00050 | $0.00842 |
| Opus 5.5 | $0.00020 | $0.00337 |
| Sonnet 5.5 | $0.00010 | $0.00168 |
| Haiku 4.5 | $0.00005 | $0.00084 |
Grade C, and why
qwen-image scanned grade C 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 1mo 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.
Harvests environment variableshighData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
printenv QWEN_IMAGE_SKILL_BASE_URL >/dev/null && printenv QWEN_IMAGE_SKILL_TOKEN >/dev/null && echo "env ok" || echo "env missing" How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Qwen Image (umbrella)
Paths — fixed layout, do not probe or re-derive. The sandbox CWD is the
notebook's output directory. This skill's scripts live under
Skills/qwen-image/scripts/ relative to it, so run the commands in this file
exactly as written. Write every deliverable to the CWD with a bare filename
(e.g. -o gen.png): never prefix an output path with Output/ — the CWD is
the output directory, so Output/… would create a nested Output/ folder.
Product notebook SD tools cover plain txt2img/img2img without Qwen/Comfy. Use this family when the user needs Qwen Image 2512 BF16 generate, edit, or inpaint via the ComfyUI-video adapter on the GPU host.
PC sandbox → GPU host gateway. Skills run on the workstation; the comfyui-video
container runs on the GPU host (guideants-video-stack); the gateway endpoint and token come from the guide Environment (QWEN_IMAGE_SKILL_BASE_URL, QWEN_IMAGE_SKILL_TOKEN).
Do not use 127.0.0.1 — that is the PC, not the GPU host.
When to use product SD tools instead
If the request is a simple notebook image with no Qwen-specific need, use GuideAnts' built-in SD image tools — not these skills.
GPU host gateway (env-configured)
The scripts read QWEN_IMAGE_SKILL_BASE_URL and QWEN_IMAGE_SKILL_TOKEN from the
guide Environment automatically — do not hardcode or export them inline.
Verify before running:
printenv QWEN_IMAGE_SKILL_BASE_URL >/dev/null && printenv QWEN_IMAGE_SKILL_TOKEN >/dev/null && echo "env ok" || echo "env missing"
If either is missing, stop and ask the user to set it in the guide's Environment variables. Never scan the LAN or guess the GPU host's IP.
GPU host stack: GA_COMFYUI_VIDEO_PORT=8189, GA_QWEN_IMAGE_SKILL_TOKEN in
guideants-video-stack/.env. Header: X-Qwen-Image-Skill-Token.
Probe first
python3 Skills/qwen-image/scripts/probe.py
python3 Skills/qwen-image/scripts/preflight.py --for probe
Route to a task skill
| User wants… | Skill |
|---|---|
| New image from text | qwen-image-generate |
| Restyle / edit existing image | qwen-image-edit |
| Masked fill / whiteboard completion | qwen-image-inpaint |
| Unclear / “is the GPU host ready?” | stay here; run probe |
What ships with it
8 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.
- references/adapter-api.md 1.6 KB
- references/cold-start-vram.md 1.2 KB
- references/parameters.md 1.1 KB
- references/workflows.md 1.3 KB
- scripts/preflight.py 4.3 KB runs code
- scripts/probe.py 1.6 KB runs code
- scripts/skill_gateway_client.py 6.8 KB runs code
- scripts/test_skill_gateway_client.py 6.7 KB runs code
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.
- 1mo ago First seen · 80 lines · 50 tokens per session scan C 8b074b3a3da6
qwen-image is a skill published in the GitHub repository Elumenotion/GuideAnts (61 stars, last pushed 2d ago), licensed Apache-2.0. It adds 50 tokens to every session and 842 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (harvests environment variables). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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