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 Limbicnation/hermes-asset-pipeline --skill comfyui-pipelinegit clone --depth 1 https://github.com/Limbicnation/hermes-asset-pipelineWrote 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/limbicnation/hermes-asset-pipeline/comfyui-pipeline)<a href="https://agentmods.dev/skills/limbicnation/hermes-asset-pipeline/comfyui-pipeline"><img src="https://agentmods.dev/badge/skills/limbicnation/hermes-asset-pipeline/comfyui-pipeline/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/limbicnation/hermes-asset-pipeline/comfyui-pipeline"><img src="https://agentmods.dev/badge/skills/limbicnation/hermes-asset-pipeline/comfyui-pipeline.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 | $0.00043 | $0.01082 |
| Opus 5 | $0.00022 | $0.00541 |
| Sonnet 5 | $0.00009 | $0.00216 |
| Haiku 4.5 | $0.00004 | $0.00108 |
Grade A, and why
comfyui-pipeline 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.
resp = requests.post( How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ComfyUI Pipeline Skill
Interface ComfyUI as a programmable node in the Hermes asset pipeline. Run workflows, manage models, and feed outputs downstream to Blender or Godot.
ComfyUI API Base
Default: http://127.0.0.1:8188
Set COMFYUI_HOST env var to override.
Core Tools
1. Queue Prompt
import requests
def queue_comfyui_prompt(prompt_json: dict, workflow_name: str = "pipeline") -> str:
"""Queue a ComfyUI workflow. Returns prompt_id."""
resp = requests.post(
f"{COMFYUI_HOST}/api/prompt",
json={"prompt": prompt_json, "workflow_name": workflow_name},
timeout=30
)
resp.raise_for_status()
return resp.json()["prompt_id"]
2. Monitor History
import requests, time
def wait_for_completion(prompt_id: str, timeout: int = 300) -> dict:
"""Poll ComfyUI history until prompt completes."""
start = time.time()
while time.time() - start < timeout:
resp = requests.get(f"{COMFYUI_HOST}/api/history/{prompt_id}", timeout=10)
history = resp.json()
if prompt_id in history:
status = history[prompt_id].get("status", {})
if status.get("state") == "success":
return history[prompt_id]
elif status.get("state") == "failed":
raise RuntimeError(f"Prompt failed: {status}")
time.sleep(5)
raise TimeoutError(f"Prompt {prompt_id} did not complete in {timeout}s")
3. Get Output Images
import os, shutil, requests
from pathlib import Path
def fetch_output_images(prompt_id: str, output_dir: Path) -> list[Path]:
"""Download all images from a completed ComfyUI run."""
output_dir.mkdir(parents=True, exist_ok=True)
resp = requests.get(f"{COMFYUI_HOST}/api/history/{prompt_id}", timeout=10)
data = resp.json()[prompt_id]
paths = []
for node in data.get("outputs", {}).values():
for item in node.get("images", []) + node.get("ui", {}).get("images", []):
fname = item.get("filename")
if fname:
src = f"{COMFYUI_HOST}/view?filename={fname}&type=output"
dst = output_dir / fname
r = requests.get(src, timeout=60)
dst.write_bytes(r.content)
paths.append(dst)
return paths
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 · 123 lines · 43 tokens per session scan A fa29a86154a8
comfyui-pipeline is a skill published in the GitHub repository Limbicnation/hermes-asset-pipeline (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 1,082 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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