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 agentmods add commands/sandyup/comfyui-mcp/node-skillgit clone --depth 1 https://github.com/sandyup/comfyui-mcpWhat 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 | $0.00012 | $0.00393 |
| Opus 5 | $0.00006 | $0.00197 |
| Sonnet 5 | $0.00002 | $0.00079 |
| Haiku 4.5 | $0.00001 | $0.00039 |
Grade A, and why
node-skill 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 yesterday.
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.
What it actually says
/comfy-skill — Generate a Node Pack Skill
The user wants to generate a Claude Code skill file for a ComfyUI custom node pack.
Instructions
-
Parse the argument. The argument is: $ARGUMENTS
- A ComfyUI Registry ID (e.g.,
comfyui-impact-pack) - A GitHub repository URL (e.g.,
https://github.com/ltdrdata/ComfyUI-Impact-Pack) - Nothing — ask the user which node pack they want to generate a skill for
- A ComfyUI Registry ID (e.g.,
-
Generate the skill. Use the
generate_node_skilltool with:source: the registry ID or GitHub URLinstall_in: save toskills/<pack-name>/inside the plugin directory
-
Report the result. Tell the user:
- Where the skill file was saved
- A brief summary of what nodes are covered
- That they may need to restart Claude Code for the skill to take effect
Example
User: /comfy-skill comfyui-impact-pack
Steps:
- Call
generate_node_skillwith source"comfyui-impact-pack"andinstall_inset to the skills directory - Show the user where the file was saved and what it covers
Notes
- The generated skill includes node class types, input/output specs, and usage examples
- Skills are saved as
SKILL.mdfiles in subdirectories under the plugin'sskills/folder - If the node pack isn't found in the registry, suggest the user provide a GitHub URL instead
- If nodes from the pack are installed locally, the skill will include live
/object_infodata
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.
- yesterday First seen · 40 lines · 12 tokens per session scan A 1b3243b809ae
node-skill is a command published in the GitHub repository sandyup/comfyui-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 393 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
verify
Adversarial spec-vs-implementation verification for a completed task. Dispatches the spec-mentor subagent with fresh context (no anchoring bias), parses its verdict (PASS / DRIFT / NEEDS-MARTY), and updates the verification queue. The v7.4.0 architectural replacement for a dedicated "mentor session.".
research
Enter RESEARCH mode for information gathering.
criar-skill
Use when creating new skills, automations, or specialized knowledge packages. Keywords: criar skill, nova skill, automatizar, conhecimento, TDD skill.
research
Delegate a thorough research investigation to the agy:runner subagent.
station
You are helping the user work with Station - the self-hosted AI agent orchestration platform.
delegate
Delegate investigation, an explicit fix request, or follow-up work to the Grok delegate subagent.