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BC comfyui-painter

本地 ComfyUI 画图工作流与 CivitAI 模型管理集成客户端。通过 ComfyUI API 在本地 GPU 上生成图片, 支持文生图与图生视频两种任务类型。集成 CivitAI 模型生态,支持模型搜索、详情查询、推荐参数提取、 本地模型更新检查与一键下载。内置自动调参引擎,从 CivitAI 样图元数据中提取推荐 Steps/CFG/采样器 设置并写入 config 缓存。支持 8 种模型别名覆盖动漫、写实、3DCG、暗黑美学、Flux 等风格。提供心跳 空闲检测,15 分钟无使用自动关闭 ComfyUI 释放显存。适用于个人创作者、内容生产团队与自动化画图 工作流场景.

ClawHub Agent Skills author: 天轰穿 v1.0.1 MIT-0 2 files body ≈ 3 735 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype 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
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
68
Run on models
none yet
Process rating
C
53/100
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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:365
    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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "suggested_price"
  • note frontmatter-key unknown frontmatter key "pricing_tier"
  • note frontmatter-key unknown frontmatter key "pricing_model"

Process rating: all ten parameters 53/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3735 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
  • +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
  • +2Single-language instructions
  • +3Description length 294: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (26 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This local image-generation skill is purpose-aligned, but it needs review because it can use a CivitAI credential, download large models, change local config, and add explicit sexual prompt terms without clear opt-in.
LLM: suspicious (high) · VirusTotal: · 24 Jul 2026