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-jd-optimizationgit 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-jd-optimization)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-recruitment-jd-optimization"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-recruitment-jd-optimization/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-jd-optimization"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-recruitment-jd-optimization.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 | $0.00056 | $0.06459 |
| Opus 5 | $0.00028 | $0.03230 |
| Sonnet 5 | $0.00011 | $0.01292 |
| Haiku 4.5 | $0.00006 | $0.00646 |
Grade A, and why
byted-recruitment-jd-optimization 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 5d 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 — 719 lines — stays where its author put it; the contents beside it link to each section on GitHub.
JD优化与简历匹配技能
When to use this skill
收到新的JD需求时，通过本skill进行多轮沟通，完善JD信息，补充完整显性要求和隐性要求。
功能概述
本技能用于沟通招聘需求，并优化招聘需求文档（JD/岗位职责和要求），包含显性内容和隐性规则两部分：
- 显性内容：标准的JD文本，用于在招聘网站发布
- 隐性规则：简历匹配时的权重、must项、薪资范围、年龄要求，用于后续简历评分
岗位类型识别 - 自动识别不同岗位类型，应用对应的模板差异：
- 🏢 行政/职能岗 - 注重沟通能力、组织协调、文书能力
- 💻 技术研发岗 - 注重技术能力、项目经验、学习能力
- 🤖 AI/算法岗 - 注重算法能力、数学基础、论文/项目
- 📊 产品/运营岗 - 注重产品思维、数据分析、用户理解
- 🎯 销售/BD岗 - 注重沟通能力、抗压能力、客户资源
- 🎨 设计/创意岗 - 注重作品集、审美能力、创意能力
支持与用户多轮沟通，直至确认所有细节。
岗位类型识别与模板差异
第一步：识别岗位类型
在开始优化JD前，首先确认岗位类型：
请告诉我这个职位属于以下哪种类型：
🏢 行政/职能岗
- 行政、人事、财务、法务、助理等
- 特点：注重沟通协调、文书能力、细致严谨
💻 技术研发岗
- 前端、后端、移动端、测试、运维等
- 特点：注重技术能力、项目经验、学习能力
🤖 AI/算法岗
- 算法工程师、机器学习、深度学习、NLP、CV等
- 特点：注重算法能力、数学基础、论文/项目
📊 产品/运营岗
- 产品经理、产品运营、用户运营、内容运营等
- 特点：注重产品思维、数据分析、用户理解
🎯 销售/BD岗
- 销售、商务拓展、客户经理等
- 特点：注重沟通能力、抗压能力、客户资源
🎨 设计/创意岗
- UI设计、UX设计、平面设计、视频剪辑等
- 特点：注重作品集、审美能力、创意能力
请选择岗位类型，我会应用对应的模板差异！
不同岗位的模板差异
🏢 行政/职能岗模板
显性内容特点
- 职位简介：强调"为团队提供支持"、"保障高效运作"
- 工作职责：
- 行政类：文件管理、会议组织、日程安排、差旅安排
- 人事类：招聘协调、员工关系、培训组织、绩效考核
- 财务类：报销审核、预算管理、报表编制、财务分析
- 任职要求：
- 必须项：学历、相关经验、办公软件（Office等）
- 优先项：细致认真、沟通能力、协调能力、保密意识
隐性规则特点
- 评分权重：
- 沟通协调：30%
- 细致严谨：25%
- 相关经验：20%
- 学历背景：15%
- 其他：10%
- Must项：
- 相关工作经验1-3年
- 熟练使用办公软件
- 细致认真的性格特质
- 经验要求：
- 可接受相关行业经验
- 稳定性要求较高（每份工作至少2年）
- 有大公司行政经验优先
💻 技术研发岗模板
显性内容特点
- 职位简介：强调"技术实现"、"系统架构"、"代码质量"
- 工作职责：
- 前端类：页面开发、性能优化、兼容性处理、组件封装
- 后端类：接口开发、数据库设计、架构设计、性能优化
- 移动端类：App开发、性能优化、适配处理、SDK封装
- 测试类：测试用例、自动化测试、性能测试、Bug跟踪
- 任职要求：
- 必须项：编程语言、框架、相关经验
- 优先项：开源贡献、技术博客、大厂经验、算法能力
隐性规则特点
- 评分权重：
- 技术能力：35%
- 项目经验：30%
- 学习能力：15%
- 学历背景：10%
- 其他：10%
- Must项：
- 掌握必备编程语言和框架
- 有相关项目经验
- 能通过技术面试
- 经验要求：
- 相关技术经验1-5年
- 可接受转行（有学习能力证明）
- 有开源项目或技术博客优先
- 大厂经验加分
🤖 AI/算法岗模板
显性内容特点
- 职位简介：强调"算法研发"、"模型优化"、"业务落地"
- 工作职责：
- 算法类：算法设计、模型训练、效果优化、落地应用
- 机器学习类：特征工程、模型选择、参数调优、A/B测试
- 深度学习类：网络设计、模型训练、性能优化、部署上线
- 任职要求：
- 必须项：数学基础、算法能力、编程能力（Python）
- 优先项：顶会论文、Kaggle竞赛、开源项目、大厂经验
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.
- 5d ago First seen · 719 lines · 56 tokens per session scan A b11224ccd99f
byted-recruitment-jd-optimization is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 5d ago), licensed Apache-2.0. It adds 56 tokens to every session and 6,459 once invoked, about $0.0003 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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