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 artokun/comfyui-mcp --skill debug-rendergit 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/skills/artokun/comfyui-mcp/debug-render)<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/debug-render"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/debug-render/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/artokun/comfyui-mcp/debug-render"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/debug-render.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00117 | $0.01661 |
| Opus 5.5 | $0.00047 | $0.00664 |
| Sonnet 5.5 | $0.00023 | $0.00332 |
| Haiku 4.5 | $0.00012 | $0.00166 |
Grade A, and why
debug-render 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 2mo 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-render — 89% identical, 95 lines differ
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debugging renders with run-to-node
When a final asset looks wrong (not when it errors), don't re-roll the whole graph and hope. Localize the fault. Render only as far as one stage and look at what that stage actually produces. The wrong-looking output is downstream of a first bad step. Find that step, fix it there, and everything after it follows.
The tool for this is panel_run with to_node_id ("run to node"), which uses
ComfyUI's native partial execution. Only the target output node plus
everything upstream of it renders; every other branch is skipped. That makes each
probe fast and cheap, and the output is delivered to you automatically, same
as any run. Don't poll.
When to reach for this
- A final image/video is wrong: artifacts, wrong subject/pose/composition, off color, soft/blurry, melted hands, wrong style.
- A conditioner isn't "taking" (ControlNet, IPAdapter, a mask, an inpaint, a LoRA) and you can't tell if the input to it is wrong or the node is wrong.
- A multi-stage pipeline (base → refiner, txt2img → upscale, decode → post) degrades, and you need to see which stage introduces the problem.
- You only want to test one branch of a multi-output graph without paying for the others.
If instead the run fails (red error, OOM, missing node, black image from a crash), use the troubleshooting skill. This skill is for outputs that complete but look wrong.
The one hard rule: to_node_id must be an OUTPUT node
ComfyUI can only run to an output node: SaveImage, PreviewImage, SaveVideo,
SaveAudio, etc. (these show is_output: true in panel_query_graph detail rows). A bare
KSampler / VAEDecode / preprocessor is not an output node, so you can't target
it directly. To inspect a point that isn't already an output, add a preview
tap there:
| You want to see… | Wire type | Tap to add | Wiring |
|---|---|---|---|
| An intermediate image (post-process, refiner stage, composite) | IMAGE | PreviewImage |
image → PreviewImage.images |
| A latent (after a sampler, before/after upscale) | LATENT | VAEDecode → PreviewImage |
latent → VAEDecode.samples; reuse the graph's VAE → VAEDecode.vae; then → PreviewImage |
| A mask (inpaint, segmentation, attention) | MASK | MaskToImage → PreviewImage |
mask → MaskToImage.mask → PreviewImage |
| A ControlNet/preprocessor map (depth/pose/canny) | usually IMAGE already | PreviewImage |
the preprocessor's IMAGE output → PreviewImage.images |
| The actual prompt/conditioning | CONDITIONING | (can't preview as an image) | inspect widget values / the text node feeding it instead |
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.
- 2mo ago First seen · 111 lines · 117 tokens per session scan A 951df0175c39
debug-render is a skill published in the GitHub repository artokun/comfyui-mcp (899 stars, last pushed 4d ago), licensed MIT. It adds 117 tokens to every session and 1,661 once invoked, about $0.0005 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.
debug-render compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| debug-renderartokun/comfyui-mcp | Skill | 899 | 4d ago | MIT | A | 117 | Claude Code |
| fix-issueyonatangross/orchestkit | Skill | 300 | today | MIT | A | 45 | Claude Code |
| operating-cadencecbrock84/headcount | Skill | 2.6k | 20d ago | MIT | A | 95 | Claude Code |
| ci-debugyonatangross/orchestkit | Skill | 300 | today | MIT | A | 55 | Claude Code |
| monitoring-observabilityyonatangross/orchestkit | Skill | 300 | today | MIT | A | 69 | Claude Code |
| paired-probeyonatangross/orchestkit | Skill | 300 | today | MIT | A | 50 | Claude Code |
| debugrsmdt/the-startup | Skill | 577 | 12d ago | MIT | A | 15 | Claude Code |