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 fygit 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/fy)<a href="https://agentmods.dev/skills/unicomai/wanwu/fy"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/fy/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/fy"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/fy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.00287 |
| Opus 5.5 | $0.00026 | $0.00115 |
| Sonnet 5.5 | $0.00013 | $0.00057 |
| Haiku 4.5 | $0.00006 | $0.00029 |
Grade A, and why
openclw 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 1mo 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
翻译 Skill
此 skill 用于处理翻译请求。
触发条件
当用户输入以下格式时激活：
fy <内容>- 翻译后面的内容
功能说明
- 中英互译：自动识别输入是中文还是英文，并翻译成另一种语言
- 其他语种：如果输入是其他语言（如日文、韩文、法文等），翻译成中文
使用示例
fy test→ 输出：测试fy 你好→ 输出：hellofy こんにちは→ 输出：你好fy Bonjour→ 输出：你好
翻译规则
- 检测输入文本的语言
- 如果是中文，翻译成英文
- 如果是英文，翻译成中文
- 如果是其他语言，翻译成中文
- 返回翻译结果
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.
- 1mo ago First seen · 35 lines · 64 tokens per session scan A 2b683f73a50c
openclw is a skill published in the GitHub repository UnicomAI/wanwu (2,377 stars, last pushed yesterday), licensed Apache-2.0. It adds 64 tokens to every session and 287 once invoked, about $0.0003 per session on Opus 5.5. 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.
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