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/aivrar/portable-hermes-agentnpx agentmods add skills/aivrar/portable-hermes-agent/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/aivrar/portable-hermes-agent/comfyui)<a href="https://agentmods.dev/skills/aivrar/portable-hermes-agent/comfyui"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/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/aivrar/portable-hermes-agent/comfyui"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/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 | $0.00015 | $0.06283 |
| Opus 5.5 | $0.00006 | $0.02513 |
| Sonnet 5.5 | $0.00003 | $0.01257 |
| Haiku 4.5 | $0.00002 | $0.00628 |
Grade D, and why
comfyui scanned grade D 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 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.
Sends data to an external URLmediumData 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 Downloads and executes remote codehighSupply 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 | python -m json.tool 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
100% identical to comfyui — 0 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 — 613 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 mappingtemplate-integrity.md— convertingcomfyui-workflow-templatesfrom editor format to API format: Reroute bypass, dotted dynamic-input keys (values.a,resize_type.width), Cloud quirks (302 redirect, 1 concurrent free-tier job, 1080p VRAM ceiling), Discord-compatible ffmpeg stitch. Authored by @purzbeats. Load this whenever you're starting from an official template.
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.
What ships with it
32 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/template-integrity.md 8.6 KB
- references/workflow-format.md 7.8 KB
- scripts/_common.py 33 KB runs code
- scripts/auto_fix_deps.py 8.2 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 1.5 KB runs code
- tests/pytest.ini 132 B
- tests/README.md 2.2 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 8.6 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.
- 1mo ago First seen · 613 lines · 15 tokens per session scan D 1013a06bf6ac
comfyui is a skill published in the GitHub repository aivrar/portable-hermes-agent (237 stars, last pushed 2d ago), licensed MIT. It adds 15 tokens to every session and 6,283 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it D with 3 findings (sends data to an external url, downloads and executes remote code, makes network calls). It is 100% identical to comfyui, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
release-nyx
Ship a new nyx-local-ai release end to end — bump versions consistently, run the quality gates (typecheck, smoke tests, package), install locally, tag and push so CI publishes the installer artifacts. Use when the user asks to release, ship, publish, bump the version, or cut a new build of the extension.
nyx-ui-screenshots
Regenerate the README UI screenshots for nyx-local-ai from the browser harness — build the webview, serve the harness scenes, capture and crop the images into docs/. Use when the UI changed visibly, when the user asks to update screenshots, or before a release with UI changes.
conversion-review
Review a landing page or form to find why visitors do not sign up or buy: unclear message, friction, missing proof, weak call to action. Looks at the real page on desktop and phone and ranks the fixes.
healing-color-card
A soft visual style inspired by emotional wellness cards, combining lavender, warm peach, mint green, rounded shapes, gentle gradients, and lots of space.
gemigo-cli
Use when the user wants to publish an already-built static website or front-end app through GemiGo, such as a Vite/React/Vue static build, plain HTML/CSS/JS page, landing page, demo, docs site, or small browser app, and get a hosted public URL.
atomicmail
Read and write email through the Atomic Mail from an AI agent. Handles proof-of-work authentication and JMAP so the agent thinks in JMAP method calls. Use when the user asks to register an email inbox, list mailboxes, fetch or send email.