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BF comfyui-workflow

Universal ComfyUI workflow executor with 33+ workflow templates. Self-describing — use --inspect on ANY workflow to discover inputs and outputs automatically. Works with local ComfyUI, Windows Portable via WSL, or remote servers.

modbender/skill-library-mcp Agent Skills author: modbender MIT 22 files · 1 script body ≈ 1 869 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Universal ComfyUI workflow executor with 33+ workflow templates.

As a process F 45/100 · Will not run — References files that are not bundled: scripts/config.json

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
92
Quality 40%
77
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: scripts/config.json
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token WORKFLOWS_SUMMARY.md:440
    High-entropy token-like string (may be an id, hash or a credential)
    Huny…del(huny…80p)
  • low Secrets in code secret-high-entropy-token WORKFLOWS_SUMMARY.md:442
    High-entropy token-like string (may be an id, hash or a credential)
    Huny…ion(strength=0.7) → final quality enhancement
  • low Secrets in code secret-high-entropy-token WORKFLOWS_SUMMARY.md:740
    High-entropy token-like string (may be an id, hash or a credential)
    Huny…del → upscale to 1080p
  • low Secrets in code secret-high-entropy-token WORKFLOWS_SUMMARY.md:741
    High-entropy token-like string (may be an id, hash or a credential)
    Huny…ion(0.7) → final enhancement
  • low Secrets in code secret-high-entropy-token workflows/video_hunyuan_i2v.json:376
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "type": "Huny…ion",
    quoted
  • low Secrets in code secret-high-entropy-token workflows/video_hunyuan_i2v.json:465
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "Node name for S&R": "Huny…ion",
    quoted
  • low Secrets in code secret-high-entropy-token workflows/video_hunyuan_i2v.json:2401
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "type": "Huny…del",
    quoted
  • low Secrets in code secret-high-entropy-token workflows/video_hunyuan_i2v.json:2474
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "Node name for S&R": "Huny…del",
    quoted

Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/config.json

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: scripts/config.json
  • 0Tools and files. 1 referenced file(s) missing: scripts/config.json
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1869 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -31 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 229: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.