Real Skill packageSource verifiedClawHub registry

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".

Identity and source

Publisher attributionSenseNova-Skillsregistry owner unverified by skillvetai
Functional categoryWriting, Content & Translationautomatically inferred · 64% rule confidence
Package forminstruction bundle7 recorded files
Canonical sourceClawHub registryclawhub:sensenova-skills:sn-image-imitate
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/19/2026.claude/skills/sn-image-imitate

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/19/2026.agents/skills/sn-image-imitate

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/19/2026skills/sn-image-imitate

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @sensenova-skills/sn-image-imitate
clawhub inspect @sensenova-skills/sn-image-imitate --version 2026.8.19

Security evidence

SkillVetAI static result: medium signal

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
7 / 7 inspected as text
Checked
8/19/2026, 4:03:31 AM
Scanner
0.1.3
Policy
1.0.3
1 automated finding
mediumPrompt-override language requires reviewSKILL.md:392 · confidence 62%print system prompt
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem write — automatically inferred
3 dependency and API indicators
  • api: clawhub.ai
  • api: platform.sensenova.cn
  • api: token.sensenova.cn
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/19/2026, 2:54:13 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:5f9f144b12d4e1c81ff3b4bd573977363d9a7111fec0acee3016fba422d84698
Show up to 7 recorded paths
  • prompts/caption_rewrite.md
  • prompts/image_annotate.md
  • prompts/layout_review.md
  • README_CN.md
  • README.md
  • skill-card.md
  • SKILL.md

Source changelog

**sn-image-imitate v2026.8.19 Changelog** - Introduced a multi-stage pipeline to generate images imitating the style of a reference while updating content per user intent. - Added robust input validation, error handling, and structured JSON outputs for debugging and reproducibility. - Main/worker agent architecture separates user interaction from image processing logic. - Supports user triggers for style imitation and transfer, with explicit workflows for agents and dependencies. - Clear documentation of non-goals, input specifications, environment configuration, and API usage.