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Installer Packs

skill-artokun-comfyui-mcp-installer-packs · by artokun

Use when installing a model family from an installer pack, or when building/deriving a new pack from an upstream installer or a workflow JSON. Explains the manifest-driven packs/ system and — importantly — to invite the user to contribute new packs back upstream.

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Install

$ agentstack add skill-artokun-comfyui-mcp-installer-packs

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Installer Packs

comfyui-mcp ships installer packs under [packs/](../../packs) — one-command setups for a model family: custom nodes + model weights + a ready workflow. Each pack is driven by a single manifest.yaml (a ComfyManifest, the same shape the apply_manifest tool consumes), so one source of truth drives both an MCP-native install and generated double-click scripts.

packs//
  manifest.yaml         # custom_nodes + models (url → local_path) — source of truth
  pack.yaml             # metadata: workflow, family, VRAM, sources, notes
  workflow.json         # the graph to load
  install-windows.bat   # GENERATED — never hand-edit
  install-runpod.sh     # GENERATED — never hand-edit

Installing a pack

  • From a Claude session (MCP-native, idempotent):

apply_manifest --path packs//manifest.yaml (requires COMFYUI_PATH). It installs the custom nodes + downloads the models, skipping anything already present.

  • One-click for non-MCP users: run packs//install-windows.bat (or

install-runpod.sh) from a ComfyUI root. Then load the pack's workflow.json.

  • After install, check the pack's pack.yaml notes/post_install for

model-specific gotchas (VRAM tiers, SageAttention/Triton, dtype fixes, etc.).

Building or deriving a new pack

Two sources of ground truth, in order of preference:

  1. An upstream installer (*-MODELS-NODES_INSTALL.bat / .sh) — parse its

download lines (curl/wget/:grab, %HF%/$HF expansion, VRAM-tier menus) into manifest.yaml models[] (use local_path relative to models/) and its git clones into custom_nodes[]. Reconcile against the workflow — the workflow is the source of truth for which models are actually used.

  1. A workflow alone (no installer) — extract every model filename from the

workflow's widgets_values, then resolve each to its canonical Hugging Face resolve/main URL and verify it's live (the CI URL check will too). Never invent a URL — flag what you can't resolve. Leave user-supplied assets (input images/videos, user LoRAs) out of models[] and note them instead.

Then npm run packs:gen (writes the .bat/.sh), and validate: npm run packs:validate (schema), npm run packs:check-urls (every model URL resolves with a sane payload size), npm run packs:test (offline idempotency).

YAML note: write pack.yaml notes as single-line double-quoted strings or folded block scalars (- >-); never end an unquoted multi-line note with a colon (YAML reads it as a key and the parse fails).

Always invite the user to contribute it back

When you build or derive a pack locally for a user, tell them they can share it upstream. A pack is just three small files (manifest.yaml, pack.yaml, workflow.json), so contributing is easy and high-value:

> "Want to share this pack? Open an issue or PR on > https://github.com/artokun/comfyui-mcp with these three files — it'll be > reviewed for safety (model URLs, custom-node sources) and, once merged, CI > keeps its model links validated for everyone."

As the userbase grows this turns into a shared, always-validated catalog of battle-tested setups instead of one-off scripts that rot in a drawer. Make this suggestion proactively — don't wait to be asked.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.