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.
git clone --depth 1 https://github.com/sandyup/comfyui-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/commands/sandyup/comfyui-mcp/debug)<a href="https://agentmods.dev/commands/sandyup/comfyui-mcp/debug"><img src="https://agentmods.dev/badge/commands/sandyup/comfyui-mcp/debug/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/commands/sandyup/comfyui-mcp/debug"><img src="https://agentmods.dev/badge/commands/sandyup/comfyui-mcp/debug.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 | $0.00009 | $0.00863 |
| Opus 5.5 | $0.00004 | $0.00345 |
| Sonnet 5.5 | $0.00002 | $0.00173 |
| Haiku 4.5 | $0.00001 | $0.00086 |
Grade A, and why
debug 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 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.
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.
This is a copy
86% identical to debug — 32 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/comfy-debug — Diagnose a Failed Workflow
The user wants to find out why a ComfyUI workflow execution failed and get a suggested fix.
Instructions
-
Get the execution history. The argument is: $ARGUMENTS
- If a prompt_id is provided, call
get_historywith that prompt_id - If "last" is provided or no argument given, call
get_historywith no prompt_id to get the most recent execution
- If a prompt_id is provided, call
-
Extract the error. From the history response, identify:
node_id: the node where execution failednode_type/class_type: what kind of node it wasexception_message: the error messagetraceback: the full Python traceback
If the execution succeeded (no error), tell the user it completed normally and show the output summary.
-
Get relevant logs. Call
get_logswith akeywordfilter matching the error — use the exception class name (e.g., "RuntimeError", "ValueError") or a distinctive phrase from the error message. Request up to 200 lines. -
Inspect the failing node. Call
get_node_infowith thenode_typeof the failing node. Check:- What inputs does the node expect?
- Are there required inputs that might be missing or mistyped?
- What data types are expected for each input?
-
Check for missing models. If the error mentions a missing file, model, or checkpoint:
- Call
list_local_modelsto see what's installed - Compare against what the workflow references
- If a model is missing, suggest using
download_modelor provide a search query forsearch_models
- Call
-
Check for missing nodes. If the error is a
KeyErroror mentions an unknown node type:- The node pack may not be installed
- Call
search_custom_nodeswith the node class name to find which pack provides it - Suggest installing the pack
-
Present the diagnosis. Provide a clear summary:
- What failed: node type, node ID, and a one-line description
- Why it failed: root cause explanation in plain language
- Suggested fix: concrete steps the user can take to resolve the issue
- Traceback excerpt: the most relevant lines from the traceback (not the full dump)
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 · 73 lines · 9 tokens per session scan A 78cdb28ccb2c
debug is a command published in the GitHub repository sandyup/comfyui-mcp (2 stars, last pushed 3mo ago), licensed MIT. It adds 9 tokens to every session and 863 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to debug, differing in 32 lines, and is treated as a copy.
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