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BF qwen-image-edit

千问图像生成与编辑助手。支持文生图、图像编辑（增删改元素 / 修改文字 / 风格迁移）、多图融合。擅长复杂中文文字渲染，可生成海报、封面、展板、宣传图等商用素材。触发词：生成图片、画图、做海报、P图、改图、修图、抠图、换背景、加文字、融合图片。

ClawHub Agent Skills author: 清如许 v1.0.0 MIT-0 4 files body ≈ 1 525 tokens Open the sourceclawhub.ai↗ analyzed 14 h ago

千问图像生成与编辑助手。支持文生图、图像编辑（增删改元素 / 修改文字 / 风格迁移）、多图融合。擅长复杂中文文字渲染，可生成海报、封面、展板、宣传图等商用素材。触发词：生成图片、画图、做海报、P图、改图、修图、抠图、换背景、加文字、融合图片。

As a process F 36/100 · Will not run — References files that are not bundled: URL

GeneratorWriting and documentstype 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%
100
Quality 40%
68
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: 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 · 0

✓ No critical or high findings

Files scanned: 4. 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: URL
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: URL
  • 0Tools and files. 1 referenced file(s) missing: URL
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 85Steps. 38 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1525 tokens
  • 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 122: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (8 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This skill is a disclosed Qwen/Alibaba Cloud image generation and editing helper, with the main user consideration being that prompts and supplied images are sent to a third-party API.
LLM: benign (high) · VirusTotal: · 4 Jun 2026