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AF sn-image-imitate

Generates a new image that imitates the style of a reference image while updating content based on user intent. Uses a three-stage pipeline: image annotation (long caption), caption rewriting, and image generation. Use when user asks to "imitate style", "保持这个风格重画", "按这张图风格生成", or "style transfer with new content".

ClawHub Agent Skills author: SenseNova-Skills v2026.8.19 MIT-0 7 files body ≈ 3 676 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Generates a new image that imitates the style of a reference image while updating content based on user intent.

As a process F 54/100 · Will not run — References files that are not bundled: ../sn-image-base/SKILL.md, ../../docs/sn-image-generate_en.md, ../sn-image-base/README.md

GeneratorAI 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: ../sn-image-base/SKILL.md, ../../docs/sn-image-generate_en.md, ../sn-image-base/README.md
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. 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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../sn-image-base/SKILL.md
  • warning missing-ref reference to a missing file: ../../docs/sn-image-generate_en.md
  • warning missing-ref reference to a missing file: ../sn-image-base/README.md
  • note frontmatter-key unknown frontmatter key "triggers"

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: ../sn-image-base/SKILL.md, ../../docs/sn-image-generate_en.md, ../sn-image-base/README.md
  • 0Tools and files. 3 referenced file(s) missing: ../sn-image-base/SKILL.md, ../../docs/sn-image-generate_en.md, ../sn-image-base/README.md
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 8 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 76 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3676 tokens
  • low 10 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 315: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 76 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill coherently uses a user-supplied reference image with SenseNova vision, language, and image-generation APIs to create a style-matched new image, with privacy considerations users should understand.
LLM: benign (high) · VirusTotal: · 19 Aug 2026