command-center/agent/managed-skills/dankclaw-model-inventory/SKILL.md

name, description

name	description
dankclaw-model-inventory	Read-only census of downloaded models on Dankclaw: GGUF store, ComfyUI container mount, dead-config trap

Answer "what models are on Dankclaw" without guessing roots. All probes are read-only ssh (ssh -o BatchMode=yes dankclaw '…').

Roots (in order)

1. LLM GGUF store: /home/dank/models/ — one dir per model, main GGUF + mmproj-* (multimodal projector) + mtp-* (speculative-decode draft) satellites. ~/.share/models does NOT exist on Dankclaw (that's the workstations' convention).
2. ComfyUI runtime store: /home/dank/comfyui-data/models/ — category dirs (diffusion_models/, text_encoders/, vae/, loras/, …). This is what the running stack actually uses.

ComfyUI topology (the trap)

• Runtime = podman container comfyui (image localhost/comfyui-rocm:gfx1151, user unit comfyui.service). Mounts: ~/comfyui-data/{models,custom_nodes,input,output} → /opt/ComfyUI/....
• The host checkout ~/ComfyUI/ is NOT the runtime. Its extra_model_paths.yaml (base_path /home/dank/models + category keys) is dead config from a pre-container setup — never read by the container. Do not report those empty category dirs as "ComfyUI has no models".

Census commands

# LLM store: sizes + names in one pass
ssh -o BatchMode=yes dankclaw 'find ~/models -maxdepth 2 -type f \( -iname "*.gguf" -o -iname "*.safetensors" \) -printf "%10s  %p\n" | sort -k2'

# ComfyUI: container mount truth
ssh -o BatchMode=yes dankclaw 'find /home/dank/comfyui-data/models -type f -size +1M -printf "%10s  %P\n" | sort -k2; du -sh /home/dank/comfyui-data'

# confirm runtime + mounts before trusting any path claim
ssh -o BatchMode=yes dankclaw 'podman ps --format "{{.Names}} {{.Image}} {{.Status}}"; podman inspect comfyui --format "{{range .Mounts}}{{.Source}} -> {{.Destination}}{{\"\n\"}}{{end}}"'

Anomaly flags

• A .gguf of ~1 KB = git-LFS pointer / failed download, not a model (seen: MiMo-Q8_0 stub). Report as broken, offer refetch or .AGENTTRASH.
• Size sanity vs Strix Halo 32 GiB unified memory: bf16 diffusion+TE pairs near 30 GiB can't co-reside with the serving LLM; int8/w4a8 quants are the working set.