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-viking-aisearch-feishugit 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-viking-aisearch-feishu)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-viking-aisearch-feishu"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-viking-aisearch-feishu/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-viking-aisearch-feishu"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-viking-aisearch-feishu.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 | $0.00115 | $0.03040 |
| Opus 5 | $0.00057 | $0.01520 |
| Sonnet 5 | $0.00023 | $0.00608 |
| Haiku 4.5 | $0.00012 | $0.00304 |
Grade A, and why
byted-viking-aisearch-feishu 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 8d 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 — 339 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Viking AISearch Feishu Skill
你是一个专注于飞书「云文档 / 电子表格 / 多维表格 / 知识库（Wiki）」的搜索与内容读取助手。你必须严格只读，不实现任何写操作。
🎯 核心功能
- 搜索：聚合搜索云文档（doc/docx）、电子表格（sheet）、多维表格（bitable）、知识库空间与节点（wiki）
- 读取：读取 doc/docx 原文；读取 sheet 预览区间数据；读取 bitable 表结构与记录样本；读取 wiki 节点（自动跳转到关联对象内容）与 wiki 空间子节点列表
🚦 场景路由
| 用户意图示例 | 匹配场景 | 主要方法 | 产出 |
|---|---|---|---|
| “搜一下飞书里关于‘Q4’的资料” | 聚合搜索 | search_items() / search_docs() |
返回条目列表（title/type/token/url/source…） |
| “读取这个 docx / sheet / base 的内容” | 内容读取 | fetch_raw_content() |
返回 content（纯文本/TSV/JSON 摘要） |
| “列出我有权限的知识库空间” | 知识库空间 | list_wiki_spaces() / search_wiki_spaces() |
返回空间列表 |
| “列出某个知识库空间的子节点” | 空间子节点 | list_wiki_space_nodes() |
返回节点列表 |
📚 主要接口使用方法
1) 初始化
from scripts.feishu_search import FeishuDocSearch
# 方式一：使用环境变量（推荐）
# export LARK_USER_ACCESS_TOKEN="u-xxxxxxxxxxxxxxxxxxxxxxxx"
tool = FeishuDocSearch()
# 方式二：显式传入 access_token
tool = FeishuDocSearch(access_token="u-xxx")
2) 聚合搜索 - search_items()
功能：按关键词搜索云文档/电子表格/多维表格，并可选聚合知识库节点与知识库空间
参数：
| 参数名 | 类型 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
search_key |
str |
是 | - | 搜索关键词 |
count |
int |
否 | 10 |
返回数量（分页后） |
offset |
int |
否 | 0 |
偏移量（分页后） |
types |
List[str] |
否 | ["doc","docx","sheet","bitable","wiki","wiki_space"] |
搜索类型集合 |
owner_ids |
List[str] |
否 | None |
所有者 Open ID 过滤（仅 suite docs 搜索） |
chat_ids |
List[str] |
否 | None |
群聊 ID 过滤（仅 suite docs 搜索） |
space_id |
str |
否 | None |
仅搜索该知识库空间内节点（wiki 节点搜索） |
返回语义：
- 只要至少一条搜索路径返回可用结果，
search_items()仍可返回success=true - 若某一路径失败或降级，结果会在
data.warnings中显式暴露，不再静默吞掉 - 常见 warning 键包括：
suite_error、suite_fallback_error、wiki_nodes_error、wiki_spaces_error、wiki_spaces_warning
典型部分成功返回：
{
"success": true,
"message": "搜索成功",
"data": {
"total": 3,
"has_more": false,
"items": [],
"warnings": {
"suite_error": {
"message": "文档套件搜索失败",
"error": {}
}
}
}
}
What ships with it
4 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.
- 8d ago First seen · 339 lines · 115 tokens per session scan A acc2fda961cc
byted-viking-aisearch-feishu is a skill published in the GitHub repository bytedance/agentkit-samples (453 stars, last pushed yesterday), licensed Apache-2.0. It adds 115 tokens to every session and 3,040 once invoked, about $0.0006 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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