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 howdeploy/deploychan_mcp --skill comfyui-remotegit clone --depth 1 https://github.com/howdeploy/deploychan_mcpWrote 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/howdeploy/deploychan_mcp/comfyui-remote)<a href="https://agentmods.dev/skills/howdeploy/deploychan_mcp/comfyui-remote"><img src="https://agentmods.dev/badge/skills/howdeploy/deploychan_mcp/comfyui-remote/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/howdeploy/deploychan_mcp/comfyui-remote"><img src="https://agentmods.dev/badge/skills/howdeploy/deploychan_mcp/comfyui-remote.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 51 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 163 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Data Exfiltration · line 101 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Server-Side Request Forgery · line 101 Code issues a request to a loopback, link-local, or private-range host. This can reach internal services not meant to be exposed and is a common SSRF pivot.Fix: Avoid requests to loopback/link-local/private hosts from skill code. If internal access is intended, document it and validate the target against an allowlist.
- medium Server-Side Request Forgery · line 106 Code issues a request to a loopback, link-local, or private-range host. This can reach internal services not meant to be exposed and is a common SSRF pivot.Fix: Avoid requests to loopback/link-local/private hosts from skill code. If internal access is intended, document it and validate the target against an allowlist.
- medium Data Exfiltration · line 165 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00068 | $0.02405 |
| Opus 5.5 | $0.00027 | $0.00962 |
| Sonnet 5.5 | $0.00014 | $0.00481 |
| Haiku 4.5 | $0.00007 | $0.00241 |
Grade A, and why
ComfyUI on a rented GPU: setup, API, Telegram scanned grade A with 2 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
import json, urllib.request, time, random, uuid Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
r = subprocess.run(["curl","-s","-X","POST", How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ComfyUI on a rented GPU
Instead of a dozen subscriptions and APIs — you rent a GPU server for your work. Under heavy use, per hour it's many times cheaper than generating photos/video on someone else's services. It all comes down to ready-made ComfyUI workflows + setup + deployment time. This skill automates deployment and lets the agent drive generation remotely.
Renting a server (Vast-like hosting)
- Billing — top up your balance (card payment).
- Template — pick ComfyUI (a preinstalled environment).
- Disk slider — models are heavy: a solid model for one task is 20–30 GB, three models to play with is already ~90 GB (plus dependencies, finetunes, LoRA). You pay for disk even when the instance is off (≈$1/day per 100 GB).
- Server — for a full day of work take $0.6–1.3/hour. The agent will advise on price/quality. Take a datacenter — otherwise files download for 30+ minutes.
- RENT → the instance is created in 0.5–2 min → the Open button.
Inside: Jupyter (to drop in the install script) + Terminal (to run it) + a
ComfyUI button. Put scripts in the workspace folder. Shut down → you pay for disk; it's
more sensible to delete and bring up a new one next time, if waiting in the queue is expensive.
Keys in .env — the agent asks the user
To download models you need two free keys:
- HuggingFace token — https://huggingface.co/settings/tokens (check all the Read boxes).
- Civitai key — https://civitai.com/user/account.
The agent does NOT hardcode keys. It asks the user for them and puts them in .env ON THE INSTANCE:
cp .env.template .env
# HF_TOKEN=<user provides their own>
# CIVITAI_TOKEN=<optional>
.env is not committed to git. Environment variables take priority over .env.
Setup script + models.manifest
Deployment pattern: setup.sh reads .env (env-driven), installs custom nodes (git
clone/fetch — idempotent), downloads models per the manifest.
models.manifest — a line-by-line source format:
hf|repo|remote_path|target_dir|target_filename # from HuggingFace
url|direct_url|target_dir|target_filename|min_bytes # direct link
civitai|version_id|target_dir|target_filename|name # from Civitai
All files are skip-if-exists (safe to restart after an interruption). Useful env:
HF_TOKEN, CIVITAI_TOKEN, COMFYUI_DIR (/workspace/ComfyUI), SKIP_MODELS,
SKIP_CUSTOM_NODES, SKIP_HF_LOGIN, RESTART_COMFYUI.
What ships with it
3 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.
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 · 178 lines · 68 tokens per session scan A 76f33c7056ca
ComfyUI on a rented GPU: setup, API, Telegram is a skill published in the GitHub repository howdeploy/deploychan_mcp (18 stars, last pushed 4d ago), licensed MIT. It adds 68 tokens to every session and 2,405 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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