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-ind-h-edu-prj-apply-materialgit 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-ind-h-edu-prj-apply-material)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-ind-h-edu-prj-apply-material"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-ind-h-edu-prj-apply-material/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-ind-h-edu-prj-apply-material"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-ind-h-edu-prj-apply-material.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 | $0.01066 |
| Opus 5 | $0.00028 | $0.00533 |
| Sonnet 5 | $0.00011 | $0.00213 |
| Haiku 4.5 | $0.00006 | $0.00107 |
Grade A, and why
byted-ind-h-edu-prj-apply-material 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 10d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
课题申报材料生成
Changelog
| 版本 | 日期 | 变更摘要 |
|---|---|---|
| v1.0 | 2026-04-30 | 初始版本：支持各级各类课题申报书生成，包含模板适配、框架生成、内容优化、格式检查等功能 |
功能
针对各级各类课题申报要求，生成专业的课题申报材料：
- 模板适配：支持国家级、省部级、校级、横向课题等各级各类课题申报书模板
- 框架生成：自动生成申报书完整框架，包含研究背景与意义、研究现状、研究内容、技术路线、创新点、预期成果、研究基础、可行性分析、经费预算、进度安排等全部模块
- 内容优化：对申报内容进行专业优化润色，突出研究价值和创新性
- 格式检查：自动检查申报书格式、字数限制、附件要求、填写规范等
参考文件索引
| 文件 | 内容 | 读取时机 |
|---|---|---|
references/project-templates.md |
各级各类课题申报模板 | 生成申报书前读取 |
references/content-guidelines.md |
申报书内容撰写指南 | 内容生成时读取 |
references/format-checklist.md |
格式检查清单 | 格式检查时读取 |
references/budget-templates.md |
经费预算模板 | 生成经费预算时读取 |
流程
Step 1：📋 申报信息输入
- 选择课题类型（国家级/省部级/校级/横向）
- 输入研究主题
- 填写申报基本信息（申报人、依托单位、研究周期等）
- 上传相关参考资料（可选）
Step 2：🎯 模板匹配
- 根据课题类型和级别匹配对应模板
- 生成申报书框架结构
- 确定各部分内容要求和字数限制
Step 3：📝 内容生成
- 研究背景与意义
- 国内外研究现状
- 研究目标与内容
- 技术路线与方法
- 创新点与特色
- 预期成果与效益
- 研究基础与条件
- 可行性分析
- 经费预算
- 进度安排
Step 4：✨ 内容优化
- 专业语言润色
- 重点内容突出
- 逻辑结构调整
- 创新性强调
Step 5：📋 格式检查
- 格式规范检查
- 字数限制检查
- 附件要求检查
- 填写规范检查
Step 6：💾 输出结果
- 生成申报书文档
- 提供修改建议
- 导出为指定格式
输入参数
| 参数 | 说明 | 默认值 |
|---|---|---|
| project_type | 课题类型（national/provincial/school/horizontal） | national |
| project_level | 课题级别（key/general/young） | general |
| topic | 研究主题 | 必填 |
| applicant | 申报人 | 必填 |
| organization | 依托单位 | 必填 |
| duration | 研究周期（月） | 24 |
| budget | 经费预算（万元） | 20 |
| output_format | 输出格式（word/pdf/markdown） | word |
| language | 输出语言 | 中文 |
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.
- references/budget-templates.md 12 KB
- references/content-guidelines.md 8.8 KB
- references/format-checklist.md 6.0 KB
- references/project-templates.md 8.3 KB
- requirements.txt 313 B
- scripts/generate_apply_material.py 26 KB runs code
- scripts/setup.sh 1.5 KB runs code
- tests/test_generate_apply_material.py 5.9 KB runs code
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.
- 10d ago First seen · 119 lines · 56 tokens per session scan A 73bf57680ba0
byted-ind-h-edu-prj-apply-material is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed yesterday), licensed Apache-2.0. It adds 56 tokens to every session and 1,066 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 2026-08-31.
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