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 skills-managementgit 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/skills-management)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/skills-management"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/skills-management.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 | $0.00076 | $0.00712 |
| Opus 5 | $0.00038 | $0.00356 |
| Sonnet 5 | $0.00015 | $0.00142 |
| Haiku 4.5 | $0.00008 | $0.00071 |
Grade A, and why
skills-management 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 7d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentKit Skills Management
Use this skill to manage AgentKit skills between local directories and remote AgentKit skill spaces.
The bundled scripts support three workflows:
- List skills in one or more skill spaces.
- Download skills from a skill space to a local directory.
- Register a local skill directory to one or more skill spaces.
Usage
List skills:
python3 scripts/skill_list.py
List skills as JSON:
python3 scripts/skill_list.py --json
Download all skills to ./my-skills:
python3 scripts/skills_download.py ./my-skills
Download only skill-a and skill-b:
python3 scripts/skills_download.py ./my-skills --skills skill-a skill-b
Register a local skill:
python3 scripts/skills_register.py ./my-new-skill
Arguments
skill_list.py
--space-id: Optional comma-separated skill space IDs. Defaults toSKILL_SPACE_ID.--json: Print machine-readable JSON output.
skills_download.py
<download_path>: The local directory path where the skills will be saved.--skills: Optional space-separated skill names to download. If omitted, all skills in the configured skill spaces are downloaded.
skills_register.py
<path_to_skill_directory>: Path to a local directory containingSKILL.md.--space-id: Optional comma-separated skill space IDs. Defaults toSKILL_SPACE_ID.
Requirements
veadkPython package installed.- For registration,
python-frontmatterinstalled. - Environment variables:
SKILL_SPACE_IDrequired unless--space-idis provided.VOLCENGINE_ACCESS_KEYandVOLCENGINE_SECRET_KEY, unless VEFaaS IAM credentials are available.AGENTKIT_TOOL_REGIONoptional, defaults tocn-beijing.AGENTKIT_TOOL_SERVICE_CODEoptional, defaults toagentkit.AGENTKIT_SKILL_HOSToptional, defaults toopen.volcengineapi.com.
The scripts also load /root/.skills_env when it exists, so persisted skill-space configuration can be reused in sandbox environments.
What ships with it
5 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.
- 7d ago First seen · 83 lines · 76 tokens per session scan A 16beb8621c7e
skills-management is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 4d ago), licensed Apache-2.0. It adds 76 tokens to every session and 712 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 2026-08-31.
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