byted-viking-developer

byted-viking-developer is a skill for Claude Code, Codex from bytedance/agentkit-samples. It costs 67 tokens per session (674 once invoked), scanned A, original, Apache-2.0.

A developer reference assistant for Viking SDKs, which let application code use VikingDB, Knowledge Base, and Memory services.

In plain words
What is it for?
Use it when writing Viking integrations in supported languages, checking API usage, finding examples, and investigating SDK or service errors.
Why use it?
It helps developers choose the relevant SDK guidance, follow documented setup and authentication steps, and diagnose integration problems.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex; mentions OpenCode.

Good fit Use it when writing Viking integrations in supported languages, checking API usage…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bytedance/agentkit-samples/byted-viking-developer
About the project

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.

bytedance/agentkit-samples · 449 stars · on GitHub

Install

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.

Any agent
npx skills add bytedance/agentkit-samples --skill byted-viking-developer
Clone the repo
git clone --depth 1 https://github.com/bytedance/agentkit-samples

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for byted-viking-developer

README.md
[![agentmods](https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-viking-developer.svg)](https://agentmods.dev/skills/bytedance/agentkit-samples/byted-viking-developer)
Your own site
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-viking-developer"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-viking-developer.svg" alt="Measured on agentmods" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 674 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.00674
Opus 5 $0.00034 $0.00337
Sonnet 5 $0.00013 $0.00135
Haiku 4.5 $0.00007 $0.00067

Measured 3d ago against content hash d88d4fb50dcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

byted-viking-developer 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/upgrade.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/byted-viking-developer/SKILL.md · 48 lines

What it actually says

使用场景

本skill需要配合Trae、OpenCode、Codex、Claude Code、Antigravity等工具使用。

Viking 开发者助手

本 Skill 旨在帮助开发者快速接入和使用 Viking 平台的 SDK,涵盖向量数据库 (VikingDB)、知识库 (KnowledgeBase) 和记忆库 (Memory) 三大核心能力。

调用本 Skill 处理 Viking 相关需求时,先执行本 Skill 安装路径下的 scripts/upgrade.py 更新本地 resources 目录中的资源文件,再读取导引文档。

所有文档导引统一收敛在 resources/index.md

处理与本 Skill 相关的任何请求时,按以下顺序执行:

  1. 运行本 Skill 安装路径下的 scripts/upgrade.py,同步最新资源文件到 resources/
  2. 若升级成功,再优先阅读 resources/index.md;若升级失败,则继续基于本地已有 resources/ 处理,并明确告知用户资料可能不是最新版本。
  3. 根据用户问题先判断产品域,再进入对应导引文件、最佳实践、常见问题或专题文档。

执行要求

  • 先缩小范围,再下钻阅读。能从用户问题直接判断产品、语言、主题时,不要重复阅读无关导引。
  • 产出代码时,尽量基于同语言 SDK 文档给出可运行示例;若只能参考其他语言资料,需要明确说明。
  • 回答问题时,优先引用文档中已明确给出的能力、参数、限制和流程;对文档未明确说明的内容,不要臆测。

边界说明

  • 本 Skill 的主要职责是利用 resources/ 中的文档、示例和导引辅助开发与答疑,不负责替代业务侧需求设计。
  • resources/ 中找不到直接答案,应明确说明“文档未覆盖到这一点”,再基于已有资料给出审慎建议。

导引入口

resources/index.md 已汇总以下内容:

  • VikingDB 向量库的 Python、Go、Java、NodeJS 等SDK 导引,以及常见问题、性能优化、最佳实践、其他文档。
  • KnowledgeBase 知识库的 Python、Go、Java、NodeJS 等SDK 导引,以及常见问题、其他文档、SDK 升级与使用说明。
  • Memory 记忆库的 Python、 Go 等SDK 导引,以及最佳实践、其他文档。

使用建议

  • 若用户问题已经明确指向某个产品、语言或专题,再继续读取对应的下钻文档。
Files

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.

Changes

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.

  1. 3d ago First seen · 48 lines · 67 tokens per session scan A d88d4fb50dcc

Subscribe to this mod's changes

byted-viking-developer is a skill published in the GitHub repository bytedance/agentkit-samples (449 stars, last pushed 2d ago), licensed Apache-2.0. It adds 67 tokens to every session and 674 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.

Related

Other skills, from other repositories

vector-and-embedding-weaknesses

Hunt vector / embedding weaknesses (OWASP LLM08:2025) — adversarial inputs against the RAG / similarity layer that cause cross-tenant leak, embedding-inversion privacy loss, semantic confusion, and retriever-driven prompt injection.

PurpleAILAB/Decepticon · 59 tokens

shap

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing…

synthetic-sciences/openscience · 109 tokens

llm-redteam-overview

LLM red team category — full AATMF v3 tactic coverage (T01–T15). Routing skill: read this first to identify which tactic applies, then load the matching sub-skill. Maps to MITRE ATLAS where overlap exists.

PurpleAILAB/Decepticon · 58 tokens

glycobiology

Glycosylation site prediction and glycobiology analysis. N-glycosylation motif finding, O-glycosylation hotspot prediction, glycan structure resources. Lightweight, pure Python. For protein function queries use uniprot-database; for structure analysis use alphafold-database.

synthetic-sciences/openscience · 67 tokens

groq-inference

Ultra-fast LLM inference on custom LPU hardware. OpenAI-compatible API at api.groq.com. Lowest latency in the industry (500-1000+ tok/s). Supports chat completions, vision, audio (Whisper STT + TTS), tool calling, JSON mode, and streaming. Free tier available. Inference only — no training.

synthetic-sciences/openscience · 77 tokens

aeon

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard…

synthetic-sciences/openscience · 74 tokens