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-link-readergit 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-link-reader)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-link-reader"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-link-reader.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 | $0.00050 | $0.00443 |
| Opus 5 | $0.00025 | $0.00221 |
| Sonnet 5 | $0.00010 | $0.00089 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
byted-link-reader 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.
What it actually says
BytedLinkReader
适用场景
当需要获取网页、PDF 或抖音视频的标题和正文内容时，使用该技能调用 link_reader 函数。
认证与凭据来源
- 用户首次使用本技能时，先检查是否配置了
ARK_API_KEY和MODEL_AGENT_API_KEY环境变量，如未配置，提示用户需要提供ARK_API_KEY，并把它写入到workspace下的环境变量文件中，如果文件已存在则追加到末尾，确保环境变量格式正确，使这个环境变量生效 - 该技能默认使用
ARK_API_KEY环境变量 - 若未配置，将尝试使用
MODEL_AGENT_API_KEY环境变量。
使用步骤
- 准备 URL 列表。
- 运行脚本
python scripts/link_reader.py "url1" "url2" ...。运行之前cd到对应的目录。 - 返回结果包含每个 URL 的标题和内容。
输出格式
- JSON 格式的列表，每个元素包含 URL 对应的标题和内容。
错误处理
- 如果出现'PermissionError: ARK_API_KEY or MODEL_AGENT_API_KEY is not set in environment variables.'错误，则提示用户需要提供
ARK_API_KEY或MODEL_AGENT_API_KEY，并把它们写入到workspace下的环境变量文件中，如果文件已存在则追加到末尾，确保环境变量格式正确，使这个环境变量生效，并重试刚才失败的读取。 - 再次使用本技能时，优先从环境变量中读取
ARK_API_KEY或MODEL_AGENT_API_KEY
示例
python scripts/link_reader.py "https://example.com"
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.
- 3d ago First seen · 39 lines · 50 tokens per session scan A 2b1a9cf0d8a4
byted-link-reader is a skill published in the GitHub repository bytedance/agentkit-samples (449 stars, last pushed 3d ago), licensed Apache-2.0. It adds 50 tokens to every session and 443 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.
Other skills, from other repositories
A set of instructions for working with PDF files, which are documents designed to preserve their layout across devices.
nano-pdf
Edits PDF files using natural-language instructions via the nano-pdf CLI. Supports modifying text, changing titles, fixing typos, and updating content on specific pages. Use when the user wants to edit a PDF, modify PDF content, update PDF text, fix a typo in a PDF, change a PDF title, or rewrite part of a PDF page.
hive.pdf
Read, write, merge, split, rotate, watermark, encrypt, and OCR PDF files using Python (pypdf, pdfplumber, reportlab, pypdfium2) and command-line tools (poppler-utils, qpdf). Use when the user asks to extract text/tables/images from a PDF, create or modify a PDF, combine or split PDFs, OCR a scanned PDF…
pdf-toolkit
Structured .pdf operations: extract text/tables, merge pages from multiple PDFs, split a PDF by page ranges, fill PDF form fields, and generate fresh PDFs from JSON. Trigger when the user wants programmatic PDF work without natural-language rewriting — examples: pull tables from a report, combine three PDFs, extract…
pdf-analysis
A PDF analysis method for reading both normal PDFs with selectable text and scanned PDFs made from page images.
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI.