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 volcengine-apigit 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/volcengine-api)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/volcengine-api"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/volcengine-api.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00203 | $0.03607 |
| Opus 5 | $0.00102 | $0.01803 |
| Sonnet 5 | $0.00041 | $0.00721 |
| Haiku 4.5 | $0.00020 | $0.00361 |
Grade A, and why
volcengine-api 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- volcengine-api — 97% identical, 38 lines differ
How it starts
The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Volcengine API Query Assistant
Answer user questions about Volcengine APIs by querying the API Explorer for authoritative, up-to-date information.
Applicable Scenarios
| Scenario | Example Questions |
|---|---|
| Find an API | "How do I list ECS instances?", "Is there a batch tag creation API?" |
| Query parameters | "What are the required params for RunInstances?", "What values does ChargeType accept?" |
| Response structure | "What fields does DescribeInstances return?", "What statuses can Status have?" |
| Parameter dependencies | "If I set Ipv6Isp, how should I fill Ipv6MaskLen?", "When is SpotPriceLimit required?" |
| Pagination | "How do I paginate instance queries?", "How does NextToken work?" |
| Error codes | "What does InvalidInstanceId.NotFound mean?", "CreateVpc returns QuotaExceeded" |
| Browse services | "Which APIs does ECS have?", "What operations does VPC support?" |
| API comparison | "What's the difference between DescribeInstances and DescribeInstancesByIds?" |
Workflow
Step 1: Understand User Intent
Determine what the user is looking for:
| Intent | Signal | Query Path |
|---|---|---|
| Find an API | Describes an operation but doesn't know the API name | Search (2e) or Services (2a) -> API list (2c) -> Details (2d) |
| Query parameters | Knows the API name, asks about params/enums/required fields | Go directly to Details (2d) |
| Query response | Asks about return fields or status values | Go directly to Details (2d), focus on response schema |
| Query parameter dependencies | Asks "when is X required?" or "how does X relate to Y?" | Go directly to Details (2d), focus on conditional rules in descriptions |
| Query error codes | Provides an error code or error message | Error code handling (Step 3) |
| Browse a service | Asks what capabilities a service offers | Services (2a) -> API list (2c) |
| Compare APIs | Asks about differences between two APIs | Query Details (2d) for each, compare params and functionality |
What ships with it
1 file 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.
- 3d ago First seen · 322 lines · 203 tokens per session scan A d39de72e969b
volcengine-api is a skill published in the GitHub repository bytedance/agentkit-samples (449 stars, last pushed 2d ago), licensed Apache-2.0. It adds 203 tokens to every session and 3,607 once invoked, about $0.0010 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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