model-inventory-manager

name	model-inventory-manager
description	Audit and cleanup model files and configurations. Use when identifying old models, cleaning up disk space, or reconciling serving configs with physical files.

Model Inventory Manager

This skill provides workflows for maintaining a lean and functional model storage system.

Workflow

1. Audit Inventory

Run the audit script to identify discrepancies between llama-swap.yaml, models_config.json, and the filesystem.

python3 codex-skills/model-inventory-manager/scripts/audit_models.py

The script categorizes findings into:

• Broken Serving Configs: Referenced in YAML but missing from disk.
• Potential Orphans: On disk but not referenced in the serving config (excluding known non-serving types like Image/Video).
• Dangling Disabled Models: Disabled in the downloader but still occupying space.
• Unregistered Models: On disk but not tracked in the downloader config.

2. Reconciliation

• Fix Broken Configs: Remove or update entries in llama-swap.yaml that point to missing files.
• Cleanup Orphans: Verify if orphaned files are truly unneeded before deletion.
• Disable Downloads: Ensure unused models are set to "enabled": false in model_downloader/models_config.json.

3. Preservation Rules

Always preserve the following unless explicitly instructed:

• LTX (Video generation)
• Image-Edit / Image-2512 (Image processing)
• Production defaults like gpt-oss-120b and gemma-4-26b-mtp.