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-las-image-resamplegit 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-las-image-resample)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-las-image-resample"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-las-image-resample.svg" alt="Measured on agentmods" 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 | $0.00164 | $0.01733 |
| Opus 5 | $0.00082 | $0.00866 |
| Sonnet 5 | $0.00033 | $0.00347 |
| Haiku 4.5 | $0.00016 | $0.00173 |
Grade A, and why
byted-las-image-resample 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 4d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LAS 图像重采样（las_image_resample）
对图像进行降采样缩放（仅缩小，不支持放大），支持修改 DPI、JPG/PNG 互转。
设计模式
本 skill 主要采用：
- Tool Wrapper：封装
lasutilCLI 调用 - Pipeline：包含 Step 0 → Step N 的顺序工作流
核心 API 与配置
- 算子 ID:
las_image_resample - API: 同步（
process） - 环境变量:
LAS_API_KEY(必填)
详细参数与接口定义见 references/api.md。
Gotchas
- 仅支持降采样：
target_size不得超过原图尺寸，本算子不支持放大。 - 输入限制：仅支持 JPEG/PNG/TIFF，≤100MB，像素总数 ≤225,000,000。
- 密钥安全：若聊天框屏蔽密钥，让用户在当前目录创建
env.sh并写入export LAS_API_KEY="..."，SDK 会自动读取。 - 免责声明：最终回复结果时必须包含："本方式的计费均为预估计费，与实际费用有差距，实际费用以运行后火山产生的账单为准。计费说明请参考 Volcengine LAS 定价。"，且禁止使用"实际费用"字眼描述预估价。
工作流（严格按步骤执行）
复制此清单并跟踪进度：
执行进度：
- [ ] Step 0: 前置检查
- [ ] Step 1: 初始化与准备
- [ ] Step 2: 预估价格
- [ ] Step 3: 执行/提交任务
- [ ] Step 4: 结果呈现
Step 0: 前置检查（⚠️ 必须在第一轮对话中完成）
在接受用户的任务后，不要立即开始执行，必须首先进行以下环境检查：
- 检查
LAS_API_KEY与LAS_REGION：确认环境变量或.env中是否已配置。- 若无，必须立即向用户索要（提示：
LAS_REGION常见为cn-beijing）。 - 注意：
LAS_REGION必须与您的 API Key 及 TOS Bucket 所在的地域完全一致。如果用户中途切换了 Region，必须提醒用户其 TOS Bucket 也需对应更换，否则会导致权限异常或上传失败。
- 若无，必须立即向用户索要（提示：
- 检查输入路径：
- 如果用户要求处理的是本地文件，则需要先通过 File API 上传至 TOS（只需
LAS_API_KEY，无需额外 TOS 凭证）。 - 如果算子的输出结果存放在 TOS 上，且用户需要下载回本地，则需要
VOLCENGINE_ACCESS_KEY和VOLCENGINE_SECRET_KEY。对于仅需要上传输入文件的场景，TOS 凭证不再必须。
- 如果用户要求处理的是本地文件，则需要先通过 File API 上传至 TOS（只需
- 确认无误后：才能进入下一步。
Step 1: 初始化与准备
环境初始化（Agent 必做）：
# 执行统一的环境初始化与更新脚本（会自动创建/激活虚拟环境，并检查更新）
source "$(dirname "$0")/scripts/env_init.sh" las_image_resample
workdir=$LAS_WORKDIR
如果网络问题导致更新失败，脚本会跳过检查，使用本地已安装的 SDK 继续执行。
- 处理本地文件时：先本地检查格式和尺寸，预估价格，用户确认后再上传：
计算预估价格并等待用户确认后，再执行上传：# 提前检查图片格式（避免参数错误） ./scripts/check_format.sh <local_path> # 本地使用 identify 获取尺寸（无需上传即可预估价格） identify -format "%wx%h" <local_path>
上传成功后返回 JSON，取其中的# 用户确认后，上传到 TOS lasutil file-upload <local_path>presigned_url（HTTPS 预签名下载链接，24 小时有效）传给算子作为输入 URL。
Step 2: 预估价格（⚠️ 必须获得用户确认）
What ships with it
8 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.
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.
- 4d ago First seen · 140 lines · 164 tokens per session scan A 9c34b8876622
byted-las-image-resample is a skill published in the GitHub repository bytedance/agentkit-samples (449 stars, last pushed 3d ago), licensed Apache-2.0. It adds 164 tokens to every session and 1,733 once invoked, about $0.0008 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 2026-09-03.
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