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 skills/ssube/conclave/comfyui-queuenpx skills add ssube/conclave --skill comfyui-queuegit clone --depth 1 https://github.com/ssube/conclaveWhat 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 | $0.00049 | $0.01028 |
| Opus 5 | $0.00024 | $0.00514 |
| Sonnet 5 | $0.00010 | $0.00206 |
| Haiku 4.5 | $0.00005 | $0.00103 |
Grade A, and why
comfyui-queue 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 2d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ComfyUI Queue Manager
Track, inspect, and manage ComfyUI generation jobs. Provides session-level tracking, bulk output downloading, error inspection, and queue control.
Works alongside generate-image — that skill builds and queues workflows, this one
manages the jobs after they're queued.
Session Tracking
Every time generate-image queues a prompt, this skill can track the prompt ID in a
session file. At the end of a session (or at any time), you can check status of all
jobs, download their outputs, or inspect failures — without needing to remember
individual prompt IDs.
Session files are stored at /workspace/outputs/sessions/.
Actions
List jobs (with filtering)
python3 {baseDir}/queue_manager.py jobs [--status completed|failed|pending|in_progress] [--limit 20] [--session]
--session filters to only jobs from the current session file.
Check a specific job
python3 {baseDir}/queue_manager.py job <prompt_id>
Shows full details: status, duration, outputs, errors, workflow info.
Download outputs from a completed job
python3 {baseDir}/queue_manager.py download <prompt_id> [--output-dir /workspace/outputs/batch-name]
Downloads all output images/videos to a predictable folder structure:
/workspace/outputs/{dir}/{filename} or auto-organized by session.
Download all session outputs
python3 {baseDir}/queue_manager.py download-session [--output-dir /workspace/outputs/my-batch]
Downloads outputs from all completed jobs in the current session.
Skips already-downloaded files. Creates {output-dir}/{prompt_id_short}/ subfolders.
Check errors on failed jobs
python3 {baseDir}/queue_manager.py errors [--session] [--limit 10]
Shows error message, exception type, failing node, and traceback for failed jobs.
Queue status (live)
python3 {baseDir}/queue_manager.py status
Shows running/pending counts, current job progress, VRAM usage.
Cancel/interrupt a job
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 158 lines · 49 tokens per session scan A 408b340f7069
comfyui-queue is a skill published in the GitHub repository ssube/conclave (2 stars, last pushed 6mo ago), licensed MIT. It adds 49 tokens to every session and 1,028 once invoked, about $0.0002 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.
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