bytedance/agentkit-samples is a collection of examples and tutorials for Volcengine AgentKit, an AI-agent development platform for building, deploying, and operating agent applications. Developers use the samples to learn agent creation, multi-agent collaboration, memory, retrieval, MCP integrations, media generation, customer service, and other workflows. The catalogue skills provide agent workflows based on these examples.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bytedance/agentkit-samples --skill byted-kickart-ai-beautygit clone --depth 1 https://github.com/bytedance/agentkit-samplesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bytedance/agentkit-samples/byted-kickart-ai-beauty)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-kickart-ai-beauty"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-kickart-ai-beauty/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-kickart-ai-beauty"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-kickart-ai-beauty.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00097 | $0.03232 |
| Opus 5 | $0.00048 | $0.01616 |
| Sonnet 5 | $0.00019 | $0.00646 |
| Haiku 4.5 | $0.00010 | $0.00323 |
Grade A, and why
byted-kickart-ai-beauty scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
智能美颜SKILL
📋 工具说明
核心功能
分析用户输入的图片，对画面中的人智能美颜，输出美颜后的图片。
可用命令
| 命令 | 功能 | 说明 |
|---|---|---|
python scripts/plan.py |
套餐查询 | 查询用户当前的 Ark Claw 套餐 |
python scripts/beauty.py --file <图片路径> --output <输出文件> |
智能美颜处理 | 对图片进行智能美颜处理 |
📥 图片获取方式
支持以下四种方式获取图片：
- 本地文件：直接提供本地图片文件的绝对路径
- 网络图片URL：直接提供网络图片URL地址，无需先下载，工具自动处理
- 多张图片URL：提供多个图片URL，用逗号分隔，工具依次处理并打包为zip返回
- 图片压缩包：用户可以上传一个包含多张图片的压缩包，直接将压缩包路径传给beauty.py，工具会自动解压并处理其中的所有图片，无需手动解压。
🚨 强制前置校验流程（必须按顺序执行，任意不通过直接终止流程）
所有用户请求必须先完成以下3步校验，不得跳过：
1. 火山鉴权校验
- 执行环境变量检查命令：
echo "ACCESS_KEY_ID: $ACCESS_KEY_ID" && echo "SECRET_ACCESS_KEY: $SECRET_ACCESS_KEY" - 判断鉴权结果：
- 鉴权通过：
ACCESS_KEY_ID和SECRET_ACCESS_KEY均为非空值 → 鉴权通过 - 鉴权不通过：执行以下引导方案
- 鉴权通过：
❌ 鉴权未配置时的引导方案
- 引导用户直接在聊天中发送ACCESS_KEY_ID/SECRET_ACCESS_KEY内容：
直接在此处发送您的Access Key ID和Secret Access Key，我会帮您完成临时环境变量配置
- 收到用户发送的ACCESS_KEY_ID/SECRET_ACCESS_KEY后，执行配置命令：
export ACCESS_KEY_ID=用户提供的ACCESS_KEY_ID值 export SECRET_ACCESS_KEY=用户提供的SECRET_ACCESS_KEY值 - 配置完成后告知用户：
已完成ACCESS_KEY_ID/SECRET_ACCESS_KEY临时配置，当前配置仅在本次会话生效，不会持久化存储，请放心使用
- 后续所有相关脚本执行时，均会自动通过
export指定这两个环境变量，确保鉴权正常，无需用户重复配置
2. 套餐有效性校验
- 步骤1：Python版本校验
python3.12 --version || (echo "❌ Python 3.12+ 未安装，请先安装Python 3.12" && exit 1) - 步骤2：依赖包安装校验
python3.12 -m pip install -r ./scripts/requirements.txt - 步骤3：执行套餐查询命令
python scripts/plan.py - 步骤4：结果处理逻辑
- ✅ 套餐有效：返回结果中的
message字段为有效截止时间（北京时间），校验通过 - ❌ 套餐已过期：
message小于等于当前时间，引导用户开通套餐，终止流程 - ❌ 接口调用错误：参考「错误处理规范」匹配错误码，向用户明确告知错误原因和解决方案，并且终止流程
- ✅ 套餐有效：返回结果中的
🛠️ 智能美颜处理执行流程
前置准备
- 确保输出目录存在：
mkdir -p /tmp/openclaw/ai-beauty/output - 生成唯一输出文件名：
ai_beauty_<timestamp>_<random>.json - 准备本地图片文件：支持JPG、PNG格式，也支持批量图片压缩后的压缩包。
输入类型自动识别
- 图片压缩包：路径以
.zip,tar,tar.gz等压缩包格式结尾 → 自动解压并批量处理，直接传入压缩包路径即可，无需手动解压 - 多张URL：包含逗号且包含
http://或https://→ 依次处理每张URL并打包为zip - 单张图片/URL：其他情况 → 单张图片处理
What ships with it
15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- LICENSE 9.9 KB
- scripts/beauty.py 25 KB runs code
- scripts/core/__init__.py 1.2 KB runs code
- scripts/core/api/iccp/client.py 4.4 KB runs code
- scripts/core/api/iccp/service.py 5.5 KB runs code
- scripts/core/api/meida/chunks.py 15 KB runs code
- scripts/core/api/meida/media.py 6.0 KB runs code
- scripts/core/auth/__init__.py 771 B runs code
- scripts/core/auth/strategy.py 1.7 KB runs code
- scripts/core/utils/extractor.py 2.6 KB runs code
- scripts/core/utils/hash.py 1.4 KB runs code
- scripts/core/utils/matriel.py 835 B runs code
- scripts/core/utils/validator.py 4.8 KB runs code
- scripts/plan.py 1.1 KB runs code
- scripts/requirements.txt 140 B
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 237 lines · 97 tokens per session scan A 9fca0a9d68a8
byted-kickart-ai-beauty is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed yesterday), licensed Apache-2.0. It adds 97 tokens to every session and 3,232 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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