byted-viking-knowledgebase

byted-viking-knowledgebase is a skill for Claude Code, Codex from bytedance/agentkit-samples. It costs 33 tokens per session (227 once invoked), scanned A, a copy of byted-skill-demo, Apache-2.0.

A search skill for Volcengine Viking Knowledge Base, a service that stores documents and returns relevant knowledge for a query.

In plain words
What is it for?
Use it to search the knowledge base for passages related to a user's question and return the matching content.
Why use it?
It lets an agent look up information in a configured knowledge base instead of answering without access to those documents.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it to search the knowledge base for passages related to a user's question and return the matching content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bytedance/agentkit-samples/byted-viking-knowledgebase
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 · 450 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-knowledgebase
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-knowledgebase

README.md
[![agentmods](https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-viking-knowledgebase/github.svg)](https://agentmods.dev/skills/bytedance/agentkit-samples/byted-viking-knowledgebase)
Your own site
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-viking-knowledgebase"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-viking-knowledgebase/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.

agentmods 80×15 button for byted-viking-knowledgebase

Your own site · 80×15
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-viking-knowledgebase"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-viking-knowledgebase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 227 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 88% copy Near-identical to another mod 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 $0.00033 $0.00227
Opus 5 $0.00016 $0.00113
Sonnet 5 $0.00007 $0.00045
Haiku 4.5 $0.00003 $0.00023

Measured 5d ago against content hash 5cb30e33867f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

byted-viking-knowledgebase 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/search.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.

Origin

This is a copy

88% identical to byted-skill-demo — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/byted-viking-knowledgebase/SKILL.md · 32 lines

What it actually says

Viking 知识库

本技能帮助您搜索知识库中的知识。

功能

  • 从知识库搜索知识

运行前,请确保以下几点:

  1. 确保用户已设置如下环境变量
    • 火山引擎知识服务 API Key,名称为 VIKING_KBSVR_API_KEY
    • 火山引擎知识服务 API Secret,名称为 VIKING_KBSVR_API_SECRET
  2. 请确保已安装了 Python 库:pip install volcengine 以及 pip install aiohttp

搜索知识库

python scripts/search.py "搜索查询关键词"

其中:

  • "搜索查询关键词":你需要根据用户需求生成搜索查询关键词,用于搜索知识库中的知识

该脚本将返回给您知识库中与查询关键词相关的知识内容列表

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. 5d ago First seen · 32 lines · 33 tokens per session scan A 5cb30e33867f

Subscribe to this mod's changes

byted-viking-knowledgebase is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 4d ago), licensed Apache-2.0. It adds 33 tokens to every session and 227 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to byted-skill-demo, differing in 2 lines, and is treated as a copy.

Related

Other skills, from other repositories

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

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

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

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