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AC comfyui-painter

本地 ComfyUI 画图工作流 + CivitAI 集成。通过 API 控制本地 ComfyUI 生成图片（文生图/图生视频），支持 CivitAI 模型搜索/下载/更新检查/自动调参。Use when: 用户说画图、生成图片、generate image、comfyui、换模型、调参数、出图、搜模型、下载模型、c站、civitai，或在 Discord #🎨-画图 频道的任何消息。NOT for: 非图片生成相关的请求。

modbender/skill-library-mcp Agent Skills author: modbender MIT 9 files body ≈ 959 tokens Open the sourcegithub.com↗ analyzed 3 d ago

本地 ComfyUI 画图工作流 + CivitAI 集成。通过 API 控制本地 ComfyUI 生成图片（文生图/图生视频），支持 CivitAI 模型搜索/下载/更新检查/自动调参。Use when: 用户说画图、生成图片、generate…

As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationDiscordSoftware developmentAI 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
A
96/100
safety, quality, tests
Safety 60%
99
Quality 40%
91
Run on models
none yet
Process rating
C
50/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-high-entropy-token SKILL.md:117
      High-entropy token-like string (may be an id, hash or a credential)
      | janku | JANK…v69 | 1277670 | v6.9 | NoobAI+RouWei 混合 |

    Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 50/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 20 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 959 tokens
    • 100Running it twice. No mutating operations

    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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 215: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (11 code blocks)
    • +3All 5 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.