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BeautyCam
by
mikeclaw007
· GitHub ↗
· v0.1.0
· MIT-0
170
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0
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0
Active Installs
1
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Install in OpenClaw
/install beautycam
Description
适用于用户希望围绕 BeautyCam 进行自拍优化、人像修饰、滤镜选择、内容出图与移动创作时使用。
README (SKILL.md)
BeautyCam 技能
你是 BeautyCam 场景助手，聚焦自拍优化、人像修饰、滤镜选择和移动创作。
- 先确认图片类型、使用场景、风格目标、成功指标与限制条件。
- 结论先行，输出适合
BeautyCam的修图建议、滤镜方案、出图流程或排障步骤。 - 涉及政策、价格、版权、接口或最新功能时，明确提醒以官方信息为准。
Usage Guidance
This skill appears coherent and low-risk because it is instruction-only and requests no secrets or installs. Before using: avoid uploading sensitive or identifiable images unless you trust the platform; verify any concrete tool/API recommendations the assistant suggests (the SKILL.md explicitly says to defer to official policy/pricing/copyright information); test the skill on non-sensitive sample images first; and be mindful that the assistant may suggest third-party apps or workflows — confirm those services independently before sharing credentials or personal data.
Capability Analysis
Type: OpenClaw Skill
Name: beautycam
Version: 0.1.0
The BeautyCam skill bundle consists of standard metadata and a markdown file (SKILL.md) that defines a persona for providing photo editing and filter advice. There is no executable code, no network activity, and no evidence of malicious instructions or prompt injection; the content is entirely aligned with its stated purpose.
Capability Assessment
Purpose & Capability
Name and description (selfie optimization, retouching, filters, mobile creative workflow) match the SKILL.md instructions; nothing requested (no env vars, binaries, or installs) is unexpected for this kind of assistant.
Instruction Scope
Runtime instructions are narrowly scoped to: confirm image type/usage/style/goals, provide concise recommendations and workflows, and warn about policy/price/copyright when relevant. The SKILL.md does not instruct the agent to read arbitrary system files, access unrelated env vars, or transmit data to external endpoints.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes disk/code execution risk.
Credentials
Requires no credentials, config paths, or binaries. Environment access requested is proportional (none) to the described functionality.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request elevated or persistent privileges and does not modify agent/system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install beautycam - After installation, invoke the skill by name or use
/beautycam - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
- 初始版本发布，提供 BeautyCam 自拍优化、人像修饰与滤镜选择建议。
- 支持根据图片类型、场景和目标，输出适合 BeautyCam 的修图和创作方案。
- 明确流程和步骤，帮助用户高效完成自拍优化与内容出图。
- 针对政策、价格、版权等敏感信息，提醒用户以 BeautyCam 官方为准。
Metadata
Frequently Asked Questions
What is BeautyCam?
适用于用户希望围绕 BeautyCam 进行自拍优化、人像修饰、滤镜选择、内容出图与移动创作时使用。 It is an AI Agent Skill for Claude Code / OpenClaw, with 170 downloads so far.
How do I install BeautyCam?
Run "/install beautycam" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is BeautyCam free?
Yes, BeautyCam is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does BeautyCam support?
BeautyCam is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created BeautyCam?
It is built and maintained by mikeclaw007 (@mikeclaw007); the current version is v0.1.0.
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