Wanwu is an enterprise platform for building AI agents, workflows, retrieval-augmented applications, and managing models in multi-tenant environments. It is designed for developers and enterprise teams delivering AI applications and integrations. The catalogue entries provide skills and agents for using the platform.
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 UnicomAI/wanwu --skill web-searchgit clone --depth 1 https://github.com/UnicomAI/wanwuWrote 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/unicomai/wanwu/web-search)<a href="https://agentmods.dev/skills/unicomai/wanwu/web-search"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/web-search/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.
<a href="https://agentmods.dev/skills/unicomai/wanwu/web-search"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/web-search.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00076 | $0.03157 |
| Opus 5 | $0.00038 | $0.01579 |
| Sonnet 5 | $0.00015 | $0.00631 |
| Haiku 4.5 | $0.00008 | $0.00316 |
Grade A, and why
web-search 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.
This is a copy
91% identical to web-search — 129 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.
How it starts
The opening of the file, as written. The whole thing — 520 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Search
Overview
Search the web using DuckDuckGo's API to find information across web pages, news articles, images, and videos. Returns results in multiple formats (text, markdown, JSON) with filtering options for time range, region, and safe search.
When to Use This Skill
Use this skill when users request:
- Web searches for information or resources
- Finding current or recent information online
- Looking up news articles about specific topics
- Searching for images by description or topic
- Finding videos on specific subjects
- Research requiring current web data
- Fact-checking or verification using web sources
- Gathering URLs and resources on a topic
Prerequisites
Install the required dependency:
pip install duckduckgo-search
This library provides a simple Python interface to DuckDuckGo's search API without requiring API keys or authentication.
Core Capabilities
1. Basic Web Search
Search for web pages and information:
python scripts/search.py "<query>"
Example:
python scripts/search.py "python asyncio tutorial"
Returns the top 10 web results with titles, URLs, and descriptions in a clean text format.
2. Limiting Results
Control the number of results returned:
python scripts/search.py "<query>" --max-results <N>
Example:
python scripts/search.py "machine learning frameworks" --max-results 20
Useful for:
- Getting more comprehensive results (increase limit)
- Quick lookups with fewer results (decrease limit)
- Balancing detail vs. processing time
3. Time Range Filtering
Filter results by recency:
python scripts/search.py "<query>" --time-range <d|w|m|y>
Time range options:
d- Past dayw- Past weekm- Past monthy- Past year
Example:
python scripts/search.py "artificial intelligence news" --time-range w
Great for:
- Finding recent news or updates
- Filtering out outdated content
- Tracking recent developments
What ships with it
3 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.
- 6d ago First seen · 520 lines · 76 tokens per session scan A c9dc9a11b8a2
web-search is a skill published in the GitHub repository UnicomAI/wanwu (2,461 stars, last pushed 5d ago), licensed Apache-2.0. It adds 76 tokens to every session and 3,157 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to web-search, differing in 129 lines, and is treated as a copy.
Other skills, from other repositories
dify
Use when building LLM applications with visual workflow — RAG knowledge bases, AI agents, chatbots with drag-and-drop orchestration. Dify: open-source LLM app platform supporting 30+ models (OpenAI, Claude, DeepSeek, Ollama, Qwen, GLM) with Docker deployment.
ai-skills
Use when building LLM applications, RAG knowledge bases, AI agents, terminal coding agents, multi-model orchestration, plugin-based agent harnesses, or file translation. Index of 10 skills: Dify, Hermes Agent, OpenClaw, OpenCode, Pi, DocuTranslate, Oh-My-OpenAgent, Superpowers-zh, DeepSeek Harness, My OpenCode…
Web2Skill
Convert one public website URL or an explicit batch of public URLs into a reusable skill zip backed by rendered HTML snapshots and a bounded JSONL retrieval index. Use to discover a documentation directory from one URL, crawl a supplied URL set sequentially, generate a source profile, or package indexed web content as…
Book2Skill
Convert one or more TXT, Markdown, DOCX, or PDF documents into a reusable skill zip backed by normalized Markdown, extracted images, and a grounded JSONL knowledge index. Invoke this skill before inspecting task files, then execute its workflow directly without listing directories.
agent-orchestration-multi-agent-optimize
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
ai-agents-architect
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.