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BF ai-image-generator

AI 图片与视频异步生成技能，调用 AI Artist API 根据文本提示词生成图片或视频，自动轮询直到任务完成。 ⚠️ 使用前必须设置环境变量 AI_ARTIST_TOKEN 为你自己的 API Key！ 需要 API Key 授权：已有账号请前往 https://ai.deepsop.com/login?source=2 登录获取；没有账号请前往 https://ai.deepsop.com/register?source=2 注册后获取。 支持图片模型：**3.1Nano2-Evo（默认）**、S5.0L、N2、W2.7、W2.7Pro、Nano2-Beta-Evo、**Image2（GPTimage-2）**。 支持视频模型：**V3.1FB（默认）**、S1.5Pro、V3.1PB、V3.1Fast、W2.6t / W2.6i / W2.6r、klingV3Omni、W2.7t / W2.7i / W2.7r。 查看当前服务端激活的模型请运行：`python3 scripts/generate_image.py --list-models`。 触发场景： - 用户要求生成图片，如"生成一匹狼"、"画一只猫"、"风景画"、"帮我画"等。 - 用户要求生成视频，如"生成视频"、"文生视频"、"图生视频"、"生成一段...的视频"等。 - 用户指定模型：N2、S5.0L、W2.7、W2.7Pro、3.1Nano2-Evo、Nano2-Beta-Evo、Image2、GPTimage-2、gpt-image-2、S1.5Pro、V3.1FB、V3.1PB、V3.1Fast、W2.6t、W2.6i、W2.6r、klingV3Omni、W2.7t、W2.7i、W2.7r。 - 用户上传参考图/参考视频时，自动先调用文件上传 API 转换为可访问 URL。

ClawHub Agent Skills author: kukuoAI v1.0.4 MIT-0 9 files body ≈ 4 280 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 29/100 · Will not run — References files that are not bundled: 图片URL, url

IntegrationAI 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%
97
Quality 40%
70
Run on models
none yet
Process rating
F
29/100
Will not run
References files that are not bundled: 图片URL, url
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. 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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration read-dotenv SKILL.md:515
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv SKILL.md:526
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv SKILL.md:529
    Reads a .env file
    export $(cat .env | xargs)

Files scanned: 7. 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")
  • warning missing-ref reference to a missing file: 图片URL
  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 29/100

Will not run. References files that are not bundled: 图片URL, url
  • 0Tools and files. 2 referenced file(s) missing: 图片URL, url
  • 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 (ai-image-generator) differs from the folder (image-video-gen)
  • 70Execution cost. Instruction body is 4280 tokens
  • 100Steps. 81 steps
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 793: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 81 items
  • +4Has examples (21 code blocks)
  • +4Reference files are cited in the instructions (1 of 3)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This skill is a disclosed AI image and video generator that sends prompts and selected media to the DeepSop service, with an optional Feishu notification feature users should configure carefully.
LLM: benign (high) · VirusTotal: benign · 28 May 2026