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-skillhub-uploadgit 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-skillhub-upload)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-skillhub-upload"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-skillhub-upload.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 | $0.00043 | $0.00608 |
| Opus 5 | $0.00022 | $0.00304 |
| Sonnet 5 | $0.00009 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
byted-skillhub-upload 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.
What it actually says
byted-skillhub-upload
用途
- 将本地 Skill（文件夹或 zip 包）上传到 SkillHub，并创建一个新的 Skill 及版本。
- 上传成功后输出
Id与SkillVersionId。
何时调用
- 当用户需求涉及将本地技能上传/发布到 企业 SkillHub 或 私有技能空间 时触发。常见语义包括：
- 明确要求“上传到 SkillHub / 发布到 SkillHub”。
- 提到“企业专属技能空间 / 私有技能空间 / 内部技能”。
- 需要将一个本地目录打包后上传为 Skill。
环境说明 (Agent 必读)
- 无需向用户索要环境变量：当前环境已自动注入以下变量：
ARK_SKILL_API_BASE: SkillHub API 服务地址ARK_SKILL_API_KEY: 企业 SkillHub 访问密钥SKILLHUB_SKILL_SPACE_ID: 企业专属技能空间 ID
- 严禁向用户询问参数值：Agent 在触发此技能时，应直接从环境中读取这些变量并执行脚本，不得中断流程向用户确认这些信息。
上传步骤
- 确定待上传目标
- 目标必须是一个目录，或一个以
.zip结尾的文件 - 若目标是目录，脚本会先将其内容压缩为 zip 包再上传
- 目标必须是一个目录，或一个以
- 执行脚本（路径相对于本 SKILL.md 所在目录）
- 上传目录：
python ./scripts/upload_to_skillhub.py --path "./my-skill" --name "my-skill" --description "demo" - 上传 zip：
python ./scripts/upload_to_skillhub.py --path "./my-skill.zip" --name "my-skill" --description "demo"
- 上传目录：
- 观察输出
- 成功时会打印两行：
Id: <skill_id>SkillVersionId: <skill_version_id>
- 成功时会打印两行：
示例
- 将
./skills/my-private-skill/上传到 SkillHub：python ./scripts/upload_to_skillhub.py --path "./skills/my-private-skill" --name "my-private-skill" --description "internal"
故障排查
- 如提示缺少环境变量，请确认在环境中运行或联系管理员
- 参数错误：确认
--path指向目录或.zip文件 - 网络或鉴权错误：检查网络连通性与 API Key 是否有效
What ships with it
2 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.
- 5d ago First seen · 45 lines · 43 tokens per session scan A 99065dc4b9e6
byted-skillhub-upload is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 4d ago), licensed Apache-2.0. It adds 43 tokens to every session and 608 once invoked, about $0.0002 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.
Other skills, from other repositories
aatmf-t10-confidentiality-breach
AATMF T10 — Integrity & Confidentiality Breach. System prompt extraction, training-data extraction, model-weight leakage, private-key recovery.
ensembl-database
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.
sidewinder-rattlesnake
Adversary-emulation profile for SideWinder (G0121 / Rattlesnake / T-APT-04 / Razor Tiger), India's suspected state-sponsored cyber-espionage actor.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
sn-image-imitate
An image tool that creates new content while following the visual style and layout of a single reference image.