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美女图片生成器

v1.0.0

Guide a user through a compact two-step Chinese option flow for adult female portraits, generate two matched realistic images directly, then optionally creat...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for pddsa/beauty-photo-generator.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "美女图片生成器" (pddsa/beauty-photo-generator) from ClawHub.
Skill page: https://clawhub.ai/pddsa/beauty-photo-generator
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install beauty-photo-generator

ClawHub CLI

Package manager switcher

npx clawhub@latest install beauty-photo-generator
Security Scan
Capability signals
Crypto
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
VirusTotalVirusTotal
Benign
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OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Name, description, and assets (conversation flows, option catalog, reference-sheet rules) align with producing adult female portrait images and an optional character reference sheet. The included usage gate (quota counting) is coherent with a usage-limited demo/commercial skill.
Instruction Scope
SKILL.md stays on-task: it defines a compact two-round interaction, prompt assembly rules, and when to call the local usage gate. It does not instruct the agent to read unrelated system files or to exfiltrate data. Notably, the instructions require running scripts in scripts/usage_gate.py and refer to local state checks and a promotional unlock message; the skill does not document how image generation is performed (which model/API is used), so network behavior is unspecified.
Install Mechanism
No install spec or external downloads. The skill is instruction-first with one small Python helper script included — no remote fetches or package installs are performed by the skill bundle itself.
Credentials
The skill declares no required env vars, credentials, or config paths. The included code likewise does not access environment secrets. This is proportionate for a prompt-guidance skill.
Persistence & Privilege
The helper script creates and writes a JSON usage file under the user's home directory (~/.codex/skill-state/beauty-generator/usage.json). Writing local state for counters is reasonable, but users should be aware the skill will create and modify files in their home directory. The script's locked_message contains a WeChat contact and a request to like/share a public account to 'permanently unlock' uses — an out-of-band monetization/contact vector that is not intrinsic to image generation and could be used for social engineering or solicitation.
What to consider before installing
This skill is mostly coherent with its stated purpose, but exercise caution before enabling it. Points to consider: - The skill writes a small JSON usage file to your home directory (~/.codex/skill-state/beauty-generator/usage.json) to track quotas. If you prefer no on-disk state, don't install or inspect/modify the script first. - The usage gate contains a promotional unlock message that asks users to add a WeChat contact (ddff9294) and 'like/forward' a public account to unlock unlimited uses. This is an out-of-band monetization/contact attempt — treat it as solicitation and consider privacy risks of contacting the author. - The skill does not document which image service or API it will call to generate images (no env vars or endpoints declared). If the agent you run with this skill will forward prompts or images to external services, confirm which provider and what credentials/network access are used before proceeding. - If you install, review scripts/usage_gate.py yourself (it is short and readable) and/or remove or edit the promotional locked_message if you don't want social-media prompts. Also confirm you are comfortable with the skill generating adult-person portraits and its stated rules for handling age/sexualization. If you need higher assurance, ask the skill author (or the publisher) to: 1) explain where image generation happens, 2) remove unsolicited contact prompts from locked messages, and 3) document any network calls or required credentials. If the author cannot provide that, treat the skill as potentially risky and avoid using it with sensitive accounts or data.

Like a lobster shell, security has layers — review code before you run it.

latestvk97d4q407t0ema07zw5m9tb1q185pt4t
27downloads
0stars
1versions
Updated 10h ago
v1.0.0
MIT-0

Beauty Generator

Overview

Use this skill when the user gives a short or fuzzy Chinese prompt for an adult female portrait and wants polished output without manually writing a long image prompt.

Keep the experience product-like:

  • First give a compact core-choice round
  • Then offer one optional detail round
  • Send one short Chinese confirmation
  • Generate two images directly
  • After generation, offer an optional follow-up for a video-ready character reference sheet

Read these files only when needed:

Workflow

1. Scope and safety

  • Only generate adult women.
  • Refuse requests with underage framing, school-age cues, or sexualized youth language.
  • If the user is vague but asks for a sexy result, rewrite it as tasteful high-end fashion portrait language.
  • Keep the result realistic, elegant, and non-explicit.

2. Run the core-choice round first

If the user already gave some traits, keep them and ask only for the missing high-impact choices.

The first round covers:

  • Preset template
  • Face shape
  • Eye shape
  • Hairstyle
  • Vibe
  • Background

Use the short copy from references/conversation_flows.md. Encourage replies with letters, numbers, or short Chinese phrases.

3. Offer one optional detail round

Offer a second round for refinement only once. If the user skips it, use the defaults in references/option_catalog.md.

The detail round covers:

  • Age feel
  • Body tendency
  • Makeup
  • Hair color
  • Expression
  • Lighting mood

4. Resolve conflicts consistently

When user inputs conflict, use this order:

  1. Explicit user text
  2. User's later option choices
  3. Preset defaults

Do not silently replace a clear user requirement with a preset.

5. Assemble the portrait prompt

Build one polished Chinese natural-language prompt. Do not show the full prompt unless the user explicitly asks for it.

The portrait prompt should usually include:

  • Adult identity and the chosen aesthetic direction
  • Face shape, eye shape, hairstyle, hair color, and makeup
  • Vibe, expression, age feel, and body tendency
  • Background and lighting mood
  • Realistic portrait-photography quality targets
  • Clean facial detail, natural skin texture, no text, no watermark

Unless the user asks otherwise, keep the baseline:

  • Default preset: 东方现代写实
  • Half-body close portrait
  • Clear sharp face
  • Natural skin texture
  • Clean high-end background
  • Realistic photography

6. Enforce the portrait usage cap

Right before generating the two portrait images, run:

python .\scripts\usage_gate.py portraits consume

If the returned JSON contains allowed: false, do not generate. Return the exact message from the script.

If the user asks about remaining portrait uses, run:

python .\scripts\usage_gate.py portraits status

7. Generate exactly two portrait images

Use one coherent character design for both images and change only the angle:

  1. 正面微偏左
  2. 侧脸回望

Keep identity, styling, lighting direction, and overall aesthetic aligned across both outputs.

Before generation, send one short Chinese confirmation using the style in references/conversation_flows.md.

8. Offer the video-prep follow-up

Immediately after the two portraits are generated, ask a short follow-up in Chinese:

如果你要继续做视频素材,我可以基于第1张“正面微偏左”继续生成角色设定参考表。回复“需要”即可。

If the user does not say 需要, stop there.

9. Generate the character reference sheet on demand

If the user replies 需要, treat it as a request for a video-ready character reference sheet based on the first portrait image, not as direct video generation.

Before generating the reference sheet, run:

python .\scripts\usage_gate.py reference-sheet consume

If the returned JSON contains allowed: false, do not generate. Return the exact message from the script.

If the user asks about remaining reference-sheet uses, run:

python .\scripts\usage_gate.py reference-sheet status

Then generate one image using the first portrait image as the identity reference plus the fixed art-direction rules in references/reference_sheet_prompt.md.

The generated sheet must:

  • Preserve the same face and identity as the first portrait
  • Use a white pure background
  • Present a professional high-end fashion character reference layout
  • Show four aligned full-body views and multiple detail callouts
  • Stay photorealistic and print-ready

Response style

  • Keep the interaction in Chinese unless the user asks otherwise.
  • Be concise, guided, and product-like.
  • Do not dump long prompts by default.
  • Confirm selections briefly, then generate directly.

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