DeerFlow is an open-source super-agent harness that coordinates sub-agents, memory, tools, sandboxes, and extensible skills to handle research, coding, and content-creation tasks that may run for minutes or hours. It is intended for long-running, multi-step work performed by AI agents. The catalogue entries are skills, agents, and instructions that support its workflows.
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 agentmods add skills/bytedance/deer-flow/web-design-guidelinesnpx skills add bytedance/deer-flow --skill web-design-guidelinesgit clone --depth 1 https://github.com/bytedance/deer-flowWrote 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/deer-flow/web-design-guidelines)<a href="https://agentmods.dev/skills/bytedance/deer-flow/web-design-guidelines"><img src="https://agentmods.dev/badge/skills/bytedance/deer-flow/web-design-guidelines.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 | $0.00044 | $0.00268 |
| Opus 5 | $0.00022 | $0.00134 |
| Sonnet 5 | $0.00009 | $0.00054 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
web-design-guidelines 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 6d 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
8 near-identical copies found in the catalogue:
- web-design-guidelines — 100% identical, 0 lines differ
- web-design-guidelines — 100% identical, 0 lines differ
- web-design-guidelines — 100% identical, 0 lines differ
- web-design-guidelines — 100% identical, 0 lines differ
- web-design-guidelines — 100% identical, 0 lines differ
- web-design-guidelines — 100% identical, 0 lines differ
- web-design-guidelines — 100% identical, 0 lines differ
- web-design-guidelines — 100% identical, 0 lines differ
What it actually says
Web Interface Guidelines
Review files for compliance with Web Interface Guidelines.
How It Works
- Fetch the latest guidelines from the source URL below
- Read the specified files (or prompt user for files/pattern)
- Check against all rules in the fetched guidelines
- Output findings in the terse
file:lineformat
Guidelines Source
Fetch fresh guidelines before each review:
https://raw.githubusercontent.com/vercel-labs/web-interface-guidelines/main/command.md
Use WebFetch to retrieve the latest rules. The fetched content contains all the rules and output format instructions.
Usage
When a user provides a file or pattern argument:
- Fetch guidelines from the source URL above
- Read the specified files
- Apply all rules from the fetched guidelines
- Output findings using the format specified in the guidelines
If no files specified, ask the user which files to review.
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.
- 6d ago First seen · 40 lines · 44 tokens per session scan A f4647ca866a3
web-design-guidelines is a skill published in the GitHub repository bytedance/deer-flow (81,437 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 268 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
github-deep-research
Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams.…
claude-to-deerflow
Interact with DeerFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to DeerFlow for research/analysis, start a DeerFlow conversation thread, check DeerFlow status or health, list available models/skills/agents in DeerFlow, manage DeerFlow memory, upload files to…
video-generation
Use this skill when the user requests to generate, create, or imagine videos. Supports structured prompts and reference image for guided generation.
consulting-analysis
Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This…
chart-visualization
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.