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即梦 AI 图片生成技能（火山引擎图片生成 4.0）。当用户想要 AI 生成图片、文生图、图生图、 字体设计、海报制作时使用。支持场景： - "帮我生成一张图片：..." - "用即梦画一张 16:9 的科技感壁纸" - "字体设计：新年快乐，红色背景" - "把这张图的背景换成星空" - "生成一组表情包" - "4K 高清图片生成" 需要配置环境变量 JIMENG_ACCESS_KEY 和 JIMENG_SECRET_KEY（火山引擎即梦 AI）。 API 详情见 references/api.md。

ClawHub Agent Skills author: 多动朕 v1.0.0 MIT-0 5 files body ≈ 420 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 49/100 · Unfinished process — 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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
49/100
Unfinished process
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 · 0

✓ No critical or high findings

Files scanned: 5. 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")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (jimeng-ai) differs from the folder (jimeng-image-gen)
  • 100Tools and files. No external tools needed
  • 100Steps. 4 steps
  • 100Execution cost. Instruction body is 420 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 255: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 4 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: clean
This is a disclosed Volcengine Jimeng image-generation helper that uses the expected API credentials and only performs user-requested generation and optional saving.
LLM: benign (high) · VirusTotal: · 29 May 2026