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 HuangYuChuh/ComfyUI_Skills_OpenClaw --skill comfyui_skills_openclawgit clone --depth 1 https://github.com/HuangYuChuh/ComfyUI_Skills_OpenClawWrote 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/huangyuchuh/comfyui_skills_openclaw/comfyui_skills_openclaw)<a href="https://agentmods.dev/skills/huangyuchuh/comfyui_skills_openclaw/comfyui_skills_openclaw"><img src="https://agentmods.dev/badge/skills/huangyuchuh/comfyui_skills_openclaw/comfyui_skills_openclaw/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/huangyuchuh/comfyui_skills_openclaw/comfyui_skills_openclaw"><img src="https://agentmods.dev/badge/skills/huangyuchuh/comfyui_skills_openclaw/comfyui_skills_openclaw.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 | $0.00125 | $0.02757 |
| Opus 5 | $0.00063 | $0.01378 |
| Sonnet 5 | $0.00025 | $0.00551 |
| Haiku 4.5 | $0.00013 | $0.00276 |
Grade A, and why
comfyui-skill-openclaw scanned grade A with 0 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 13d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ComfyUI Agent SKILL
Prerequisites: Install the CLI:
pip install -U comfyui-skill-cli. The official local Comfy MCP is optional and should be connected using the official guide when MCP capabilities are needed. All shell commands must run from this project's root directory (where thisSKILL.mdis located).[!IMPORTANT] Directory Sensitivity: The CLI reads
config.jsonanddata/from the current directory. You MUSTcdinto the project root before running any command. Symptom:listreturns[]orserver statusreports not found → you are in the wrong directory.
Quick Decision
- A matching registered workflow exists → use the CLI Execution Flow (Step 1-4). This is the default for repeated, batch, and latency-sensitive work.
- The request has no matching workflow, or requires live template/model/node discovery → use the official local Comfy MCP.
- The user supplies a raw workflow that needs real environment validation → use MCP
validate_workflow; use CLIrun --validatefor a registered workflow. - The user asks to install nodes, download models, restart, update, or switch versions → use MCP only after explaining the effect and getting confirmation.
- User says "generate image / draw a picture" → first inspect registered workflows; if none fit, discover a current MCP template instead of guessing a model name.
- User says "import workflow / add workflow" →
comfyui-skill --json workflow import <path> - User says "img2img / use this image" → first
comfyui-skill --json upload <image>, then execute - User says "inpainting / mask this area" →
comfyui-skill --json upload <mask> --mask, then execute - User says "show previous results" →
comfyui-skill --json history list <id> - User says "what failed / check job status" →
comfyui-skill --json jobs list --status failed - User says "which server has more VRAM" →
comfyui-skill --json server stats --all - User says "what nodes are available" → use MCP
nodesfor live ecosystem discovery; usecomfyui-skill --json nodes listwhen only the CLI inventory is needed. - User says "dry run / test without executing" →
comfyui-skill --json run <id> --validate - User says "open management UI" →
python3 ./ui/open_ui.py
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.
- 13d ago First seen · 214 lines · 125 tokens per session scan A 0c8ec3ef308a
comfyui-skill-openclaw is a skill published in the GitHub repository HuangYuChuh/ComfyUI_Skills_OpenClaw (403 stars, last pushed 17d ago), licensed MIT. It adds 125 tokens to every session and 2,757 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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