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/starrycod/cogitum/comfyuinpx skills add StarryCod/cogitum --skill comfyuigit clone --depth 1 https://github.com/StarryCod/cogitumWhat 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 | $0.00046 | $0.06342 |
| Opus 5 | $0.00023 | $0.03171 |
| Sonnet 5 | $0.00009 | $0.01268 |
| Haiku 4.5 | $0.00005 | $0.00634 |
Grade B, and why
comfyui scanned grade B with 3 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.
Sends data to an external URLlowData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -X POST http://127.0.0.1:8188/queue -d '{"clear": true}' # cancel pending Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s http://127.0.0.1:8188/queue | python3 -m json.tool Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://127.0.0.1:8188/system_stats 2>/dev/null && echo "server: running" This is a copy
98% identical to comfyui — 50 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 — 613 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ComfyUI
Generate images, video, audio, and 3D content through ComfyUI using the
official comfy-cli for setup/lifecycle and direct REST/WebSocket API
for workflow execution.
What's in this skill
Reference docs (references/):
official-cli.md— everycomfy ...command, with flagsrest-api.md— REST + WebSocket endpoints (local + cloud), payload schemasworkflow-format.md— API-format JSON, common node types, param mappingtemplate-integrity.md— convertingcomfyui-workflow-templatesfrom editor format to API format: Reroute bypass, dotted dynamic-input keys (values.a,resize_type.width), Cloud quirks (302 redirect, 1 concurrent free-tier job, 1080p VRAM ceiling), Discord-compatible ffmpeg stitch. Authored by @purzbeats. Load this whenever you're starting from an official template.
Scripts (scripts/):
| Script | Purpose |
|---|---|
_common.py |
Shared HTTP, cloud routing, node catalogs (don't run directly) |
hardware_check.py |
Probe GPU/VRAM/disk → recommend local vs Comfy Cloud |
comfyui_setup.sh |
Hardware check + comfy-cli + ComfyUI install + launch + verify |
extract_schema.py |
Read a workflow → list controllable params + model deps |
check_deps.py |
Check workflow against running server → list missing nodes/models |
auto_fix_deps.py |
Run check_deps then comfy node install / comfy model download |
run_workflow.py |
Inject params, submit, monitor, download outputs (HTTP or WS) |
run_batch.py |
Submit a workflow N times with sweeps, parallel up to your tier |
ws_monitor.py |
Real-time WebSocket viewer for executing jobs (live progress) |
health_check.py |
Verification checklist runner — comfy-cli + server + models + smoke test |
fetch_logs.py |
Pull traceback / status messages for a given prompt_id |
Example workflows (workflows/): SD 1.5, SDXL, Flux Dev, SDXL img2img,
SDXL inpaint, ESRGAN upscale, AnimateDiff video, Wan T2V. See
workflows/README.md.
What ships with it
32 files 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.
- references/official-cli.md 7.4 KB
- references/rest-api.md 10 KB
- references/template-integrity.md 8.6 KB
- references/workflow-format.md 7.8 KB
- scripts/_common.py 33 KB runs code
- scripts/auto_fix_deps.py 8.1 KB runs code
- scripts/check_deps.py 17 KB runs code
- scripts/comfyui_setup.sh 10 KB runs code
- scripts/extract_schema.py 11 KB runs code
- scripts/fetch_logs.py 5.6 KB runs code
- scripts/hardware_check.py 17 KB runs code
- scripts/health_check.py 8.0 KB runs code
- scripts/run_batch.py 8.9 KB runs code
- scripts/run_workflow.py 31 KB runs code
- scripts/ws_monitor.py 10 KB runs code
- tests/conftest.py 1.4 KB runs code
- tests/pytest.ini 132 B
- tests/README.md 2.1 KB
- tests/test_check_deps.py 2.3 KB runs code
- tests/test_cloud_integration.py 4.2 KB runs code
- tests/test_common.py 16 KB runs code
- tests/test_extract_schema.py 7.8 KB runs code
- tests/test_run_workflow.py 8.5 KB runs code
- workflows/animatediff_video.json 2.0 KB
- workflows/flux_dev_txt2img.json 2.2 KB
- workflows/README.md 3.8 KB
- workflows/sd15_txt2img.json 1.4 KB
- workflows/sdxl_img2img.json 1.6 KB
- workflows/sdxl_inpaint.json 1.8 KB
- workflows/sdxl_txt2img.json 1.4 KB
- workflows/upscale_4x.json 864 B
- workflows/wan_video_t2v.json 2.1 KB
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 · 613 lines · 46 tokens per session scan B 98cfe9f38925
comfyui is a skill published in the GitHub repository StarryCod/cogitum (11 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 6,342 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 3 findings (sends data to an external url, downloads and executes remote code, makes network calls). It is 98% identical to comfyui, differing in 50 lines, and is treated as a copy.
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