Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/kevinnft/ai-agent-skillsnpx agentmods add skills/kevinnft/ai-agent-skills/comfyuiWrote 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/kevinnft/ai-agent-skills/comfyui)<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/comfyui"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/comfyui/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/kevinnft/ai-agent-skills/comfyui"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/comfyui.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 | $0.00046 | $0.06275 |
| Opus 5 | $0.00023 | $0.03138 |
| Sonnet 5 | $0.00009 | $0.01255 |
| Haiku 4.5 | $0.00005 | $0.00628 |
Grade B, and why
comfyui scanned grade B with 3 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 10d 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.
Sends data to an external URLlowData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -X POST http://127.0.0.1:8188/queue -d '{"clear": true}' # cancel pending Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s http://127.0.0.1:8188/queue | python3 -m json.tool Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://127.0.0.1:8188/system_stats 2>/dev/null && echo "server: running" This is a copy
95% identical to comfyui — 63 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 612 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ComfyUI
Generate images, video, audio, and 3D content through ComfyUI using the
official comfy-cli for setup/lifecycle and direct REST/WebSocket API
for workflow execution.
What's in this skill
Reference docs (references/):
official-cli.md— everycomfy ...command, with flagsrest-api.md— REST + WebSocket endpoints (local + cloud), payload schemasworkflow-format.md— API-format JSON, common node types, param mapping
Scripts (scripts/):
| Script | Purpose |
|---|---|
_common.py |
Shared HTTP, cloud routing, node catalogs (don't run directly) |
hardware_check.py |
Probe GPU/VRAM/disk → recommend local vs Comfy Cloud |
comfyui_setup.sh |
Hardware check + comfy-cli + ComfyUI install + launch + verify |
extract_schema.py |
Read a workflow → list controllable params + model deps |
check_deps.py |
Check workflow against running server → list missing nodes/models |
auto_fix_deps.py |
Run check_deps then comfy node install / comfy model download |
run_workflow.py |
Inject params, submit, monitor, download outputs (HTTP or WS) |
run_batch.py |
Submit a workflow N times with sweeps, parallel up to your tier |
ws_monitor.py |
Real-time WebSocket viewer for executing jobs (live progress) |
health_check.py |
Verification checklist runner — comfy-cli + server + models + smoke test |
fetch_logs.py |
Pull traceback / status messages for a given prompt_id |
Example workflows (workflows/): SD 1.5, SDXL, Flux Dev, SDXL img2img,
SDXL inpaint, ESRGAN upscale, AnimateDiff video, Wan T2V. See
workflows/README.md.
When to Use
- User asks to generate images with Stable Diffusion, SDXL, Flux, SD3, etc.
- User wants to run a specific ComfyUI workflow file
- User wants to chain generative steps (txt2img → upscale → face restore)
- User needs ControlNet, inpainting, img2img, or other advanced pipelines
- User asks to manage ComfyUI queue, check models, or install custom nodes
- User wants video/audio/3D generation via AnimateDiff, Hunyuan, Wan, AudioCraft, etc.
What ships with it
31 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/official-cli.md 7.4 KB
- references/rest-api.md 10 KB
- references/workflow-format.md 7.8 KB
- scripts/_common.py 33 KB runs code
- scripts/auto_fix_deps.py 8.1 KB runs code
- scripts/check_deps.py 17 KB runs code
- scripts/comfyui_setup.sh 10 KB runs code
- scripts/extract_schema.py 11 KB runs code
- scripts/fetch_logs.py 5.6 KB runs code
- scripts/hardware_check.py 17 KB runs code
- scripts/health_check.py 8.0 KB runs code
- scripts/run_batch.py 8.9 KB runs code
- scripts/run_workflow.py 31 KB runs code
- scripts/ws_monitor.py 10 KB runs code
- tests/conftest.py 1.4 KB runs code
- tests/pytest.ini 132 B
- tests/README.md 2.1 KB
- tests/test_check_deps.py 2.3 KB runs code
- tests/test_cloud_integration.py 4.2 KB runs code
- tests/test_common.py 16 KB runs code
- tests/test_extract_schema.py 7.8 KB runs code
- tests/test_run_workflow.py 8.5 KB runs code
- workflows/animatediff_video.json 2.0 KB
- workflows/flux_dev_txt2img.json 2.2 KB
- workflows/README.md 3.8 KB
- workflows/sd15_txt2img.json 1.4 KB
- workflows/sdxl_img2img.json 1.6 KB
- workflows/sdxl_inpaint.json 1.8 KB
- workflows/sdxl_txt2img.json 1.4 KB
- workflows/upscale_4x.json 864 B
- workflows/wan_video_t2v.json 2.1 KB
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.
- 10d ago First seen · 612 lines · 46 tokens per session scan B 1ab2c0bf8f44
comfyui is a skill published in the GitHub repository kevinnft/ai-agent-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 6,275 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 3 findings (sends data to an external url, downloads and executes remote code, makes network calls). It is 95% identical to comfyui, differing in 63 lines, and is treated as a copy.
Other skills, from other repositories
meshy-3d-generation
Generate 3D models, textures, images, rig characters, and animate them using the Meshy AI API. Handles API key detection, setup, and all generation workflows via direct HTTP calls. Use when the user asks to create 3D models, convert text/images to 3D, texture models, rig or animate characters, or interact with the…
meshy-openclaw
Generate 3D models, textures, images, rig characters, animate them, and prepare for 3D printing using the Meshy AI API. Handles API key detection, task creation, polling, downloading, and full 3D print pipeline with slicer integration. Use when the user asks to create 3D models, convert text/images to 3D, texture…
meshy-3d-printing
3D print models generated with Meshy AI, plus Creative Lab consumer products. Handles slicer detection, white model printing, multi-color printing via API, the Creative Lab pipeline (figure / lamp / keychain / fridge-magnet), and print-optimized download workflows. Use when the user mentions 3D printing, slicing…
is-this-photo-real
Verify whether an image or video is authentic, original and correctly captioned — provenance checks, error level analysis, noise and JPEG compression analysis, clone and copy-move detection, lighting and shadow consistency, C2PA Content Credentials, deepfake and AI-generation tells, and the honest limits of…
baoyu-comic
A tool for creating original educational comics that explain knowledge or ideas through multiple illustrated panels. It supports different art styles and tones and can create several comics in one batch.
render-cosmic-mythology-voiceover
Assemble a cosmic-mythology-voiceover reel from a config — a warm spoken voiceover carries the whole narrative while N curated cosmic stills are weighted beat-synced across the delivered VO duration (cutdur = VOdur times weight over the weight sum, so emotional beats hold longer), Ken-Burns-zoomed per still (scale 2x…