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-recruitment-bosszhipin-self-submissiongit 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-recruitment-bosszhipin-self-submission)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-recruitment-bosszhipin-self-submission"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-recruitment-bosszhipin-self-submission/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-recruitment-bosszhipin-self-submission"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-recruitment-bosszhipin-self-submission.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 | $0.00080 | $0.01297 |
| Opus 5 | $0.00040 | $0.00648 |
| Sonnet 5 | $0.00016 | $0.00259 |
| Haiku 4.5 | $0.00008 | $0.00130 |
Grade A, and why
byted-recruitment-bosszhipin-self-submission 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 9d 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.
What it actually says
技能描述
自动处理BOSS直聘【沟通】-【新招呼】中所有主动投递简历的未读候选人，逐个点击处理，保存职位JD和候选人简历，完成匹配评分，最后汇总结果。适用于日常定时批量处理主动投递。
执行前置检查
- 必须已经登录BOSS直聘，如果发现页面显示未登录/需要验证码，立即停止并通知用户扫码登录，不要自行反复尝试。
- 使用最高优先级 computer-use (CUA) 模式执行，必须遵循CUA操作规范。
- 确认
jd-process/根目录已存在，不存在则自动创建。
标准执行步骤
步骤1：进入正确页面
- 点击顶部 【沟通】 选项卡
- 在沟通页面内点击 【新招呼】 标签，筛选出所有需要处理的主动投递候选人
- 确认 【新招呼】 标签上有红点（表示存在未读消息），开始处理
步骤2：逐个处理未读候选人
对于每个未读候选人（头像右上角带数字红点）：
- 点击候选人进入右侧对话卡片
- 确认沟通职位，点击沟通职位名称查看职位JD详情
- 点击【展开全部】查看完整JD
- 检查
jd-process/[职位名称]/目录是否存在 - 如果不存在：
- 创建目录
mkdir -p "jd-process/[职位名称]" - 复制JD内容，保存为
jd-process/[职位名称]/[职位名称]-jd.md
- 创建目录
- 如果已存在：直接关闭JD弹窗
- **点击【在线简历】**卡片打开简历详情
- 选中全部简历内容 ➡️ 复制
- 保存为
jd-process/[职位名称]/[候选人姓名]-boss-candidates.md - 关闭简历弹窗
- 根据
skill: byted-recruitment-jd-optimization评分标准对简历评分，评分>90标记为合格 - 处理完当前候选人，继续处理下一个未读候选人
步骤3：完成确认（必须执行，不能跳过）
- 滚动页面，反复检查 【新招呼】标签 是否还有红点（未读标记）
- 如果还有红点，继续处理剩余候选人
- 直到红点完全消失，才算任务完成
步骤4：生成汇总报告
更新汇总文件 jd-process/summary.md，包含以下信息：
- 每个职位的投递人数
- 每个候选人姓名、简历文件路径
- 根据评分汇总合格候选人信息
目录结构规范（严格遵守）
jd-process/
├── summary.md # 整体汇总文件
├── [职位名称1]/
│ ├── [职位名称1]-jd.md # 职位JD详情
│ ├── [候选人1]-boss-candidates.md
│ ├── [候选人2]-boss-candidates.md
│ └── ...
├── [职位名称2]/
│ ├── [职位名称2]-jd.md
│ ├── [候选人1]-boss-candidates.md
│ └── ...
└── ...
踩过的坑 & 注意事项
- 路径空格处理：职位名称包含空格时，必须正确转义，推荐使用
"包裹路径，避免拆分错误 - 剪贴板获取：不要依赖Python模块（如pyperclip），推荐使用
xclip -o > 文件名直接获取剪贴板内容，兼容性更好 - 只处理红点：没有红点（未读标记）的候选人不要重复处理，节省时间
- 必须滚动确认：处理完后必须滚动到底部，确认所有未读都已处理，红点完全消失才能结束
- 评分标准：严格按照
byted-recruitment-jd-optimization评分要求执行，评分>90才算合格
定时执行配置
- 按要求设置cron定时任务
- 执行完成后，必须通过飞书channel主动同步汇总结果给用户
- 汇总信息必须使用表格展示，包含：
- 整体投递情况统计
- 各职位投递情况
- 各职位合格候选人汇总
验收标准
✅ 所有【新招呼】中未读候选人（红点）全部处理完毕，红点完全消失
✅ 每个职位JD已保存到对应目录
✅ 每个候选人简历单独保存到对应职位目录，文件名格式正确
✅ 汇总文件 jd-process/summary.md 更新完成
✅ 评分已完成，合格候选人已标记
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.
- 9d ago First seen · 93 lines · 80 tokens per session scan A 971a5ec14bab
byted-recruitment-bosszhipin-self-submission is a skill published in the GitHub repository bytedance/agentkit-samples (453 stars, last pushed 2d ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,297 once invoked, about $0.0004 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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