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/artokun/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/artokun/comfyui-mcp/debug)<a href="https://agentmods.dev/commands/artokun/comfyui-mcp/debug"><img src="https://agentmods.dev/badge/commands/artokun/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/artokun/comfyui-mcp/debug"><img src="https://agentmods.dev/badge/commands/artokun/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 | $0.00920 |
| Opus 5.5 | $0.00004 | $0.00368 |
| Sonnet 5.5 | $0.00002 | $0.00184 |
| Haiku 4.5 | $0.00001 | $0.00092 |
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- debug — 86% identical, 32 lines differ
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_history(action="list")with that prompt_id - If "last" is provided or no argument given, call
get_history(action="list")with 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_system_stats (action:"logs")with 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
create_workflow (action:"node_info")with 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_modelaction:"download"or provide a search query foraction:"search"
- 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_nodes(action: "search") with the node class name asqueryto find which pack provides it - Suggest installing the pack
-
Present the diagnosis. Provide a 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 31f82a9175bd
debug is a command published in the GitHub repository artokun/comfyui-mcp (838 stars, last pushed 4d ago), licensed MIT. It adds 9 tokens to every session and 920 once invoked, about $0.0000 per session on Opus 5.5. 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.
Other commands, from other repositories
fix-issue
Fixes GitHub issues using parallel analysis agents for root cause investigation, code exploration, and regression detection. Reads issue context from gh CLI, searches codebase and memory for related patterns, generates a fix with tests, and links the resolution back to the issue via PR. Includes prevention analysis to…
ci-sentinel
Daily autonomous classifier for failing PRs across your repos. Runs /ci-debug headless against every open PR with red required checks, posts the verdict as a collapsed PR comment, and appends to a per-repo .sentinel/ledger.jsonl. v1 is propose-don't-apply — NEVER auto-pushes a fix. Use when you're tired of /status…
ci-debug
Diagnose a failing CI run against an 11-pattern playbook. Classifies the failure, cites the relevant memory entry, proposes the exact fix command — but NEVER applies without explicit user approval. Use when a specific PR check or GitHub Actions run failed and you want a diagnosis instead of speculation. Don't use for…
wiki-lint
Health-check the wiki for orphans, broken links, and quality issues.
maintain
Run automated maintenance — seeker finds bugs from pod logs and raises GitHub issues, fixer picks them up and creates PRs. Can run as a one-shot or scheduled via /schedule.
debloat
Retroactive whole-repo bloat removal (spec H-2ii). Scores an existing repo on the deterministic bloat axes, writes BLOAT-REPORT.md, and — only behind a passing test-suite safety oracle — proposes gated refactor waves as a PR. The zero-risk adoption hook.