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 agentmods add skills/unicomai/wanwu/imanpx skills add UnicomAI/wanwu --skill imagit 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/ima)<a href="https://agentmods.dev/skills/unicomai/wanwu/ima"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/ima.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 | $0.00140 | $0.03206 |
| Opus 5 | $0.00070 | $0.01603 |
| Sonnet 5 | $0.00028 | $0.00641 |
| Haiku 4.5 | $0.00014 | $0.00321 |
Grade A, and why
ima-note scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "https://ima.qq.com/openapi/note/v1/$endpoint" \ How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ima-note
通过 IMA OpenAPI 管理用户个人笔记，支持读取（搜索、列表、获取内容）和写入（新建、追加）。
完整的数据结构和接口参数详见 references/api.md。
Setup
- 请打开 https://ima.qq.com/agent-interface 获取 Client ID 和 Api Key
- 配置环境变量：
export IMA_OPENAPI_CLIENTID="your_client_id"
export IMA_OPENAPI_APIKEY="your_api_key"
建议将上述 export 语句写入
~/.zshrc或~/.bashrc，避免每次重开终端失效。
凭证预检
每次调用 API 前，先确认凭证可用。如果环境变量未设置，停止操作并提示用户按 Setup 步骤配置。
if [ -z "$IMA_OPENAPI_CLIENTID" ] || [ -z "$IMA_OPENAPI_APIKEY" ]; then
echo "缺少 IMA 凭证，请按 Setup 步骤配置环境变量 IMA_OPENAPI_CLIENTID 和 IMA_OPENAPI_APIKEY"
exit 1
fi
API 调用模板
所有请求统一为 HTTP POST + JSON Body，Base URL 为 https://ima.qq.com/openapi/note/v1。
定义辅助函数避免重复 header：
ima_api() {
local endpoint="$1" body="$2"
curl -s -X POST "https://ima.qq.com/openapi/note/v1/$endpoint" \
-H "ima-openapi-clientid: $IMA_OPENAPI_CLIENTID" \
-H "ima-openapi-apikey: $IMA_OPENAPI_APIKEY" \
-H "Content-Type: application/json" \
-d "$body"
}
隐私规则： 笔记内容属于用户隐私，在群聊场景中只展示标题和摘要，禁止展示笔记正文。
接口决策表
| 用户意图 | 调用接口 | 关键参数 |
|---|---|---|
| 搜索/查找笔记 | search_note_book |
query_info（QueryInfo 对象） |
| 查看笔记本列表 | list_note_folder_by_cursor |
cursor(必填，首页传"0") + limit(必填) |
| 浏览某笔记本里的笔记,当用户表述"最新"、"最近"之类的通用限定，没有指明笔记本时，都应该直接在全部笔记里去拉 | list_note_by_folder_id |
folder_id(选填,空为全部笔记本) + cursor(必填，首次传"") + limit(必填) |
| 读取笔记正文 | get_doc_content |
doc_id + target_content_format(必填，推荐0纯文本) |
| 新建一篇笔记 | import_doc |
content + content_format(必填，固定1) + 可选 folder_id |
| 往已有笔记追加内容 | append_doc |
doc_id + content + content_format(必填，固定1) |
常用工作流
查找并阅读笔记
先搜索获取 docid，再用 get_doc_content 读取正文：
# 1. 按标题搜索
ima_api "search_note_book" '{"search_type": 0, "query_info": {"title": "会议纪要"}, "start": 0, "end": 20}'
# 从返回的 docs[].doc.basic_info.docid 中取目标笔记 ID
# 2. 读取正文（纯文本格式，Markdown 格式目前不支持）
ima_api "get_doc_content" '{"doc_id": "目标docid", "target_content_format": 0}'
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.
- 2d ago First seen · 230 lines · 140 tokens per session scan A e6a876575fcc
ima-note is a skill published in the GitHub repository UnicomAI/wanwu (2,456 stars, last pushed yesterday), licensed Apache-2.0. It adds 140 tokens to every session and 3,206 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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 9 skills: Dify, Hermes Agent, OpenClaw, OpenCode, Pi, DocuTranslate, Oh-My-OpenAgent, Superpowers-zh, DeepSeek Harness.
pinecone-research
Agent RAG and long-term memory with Pinecone.
memory-triage
Persistent long-term memory protocol powered by mem0. Evaluate conversations for durable facts worth storing via memoryadd. Handles identity, preferences, decisions, configurations, rules, projects, and relationships. Loaded by the openclaw-mem0 plugin when skills mode is active.
mem0-dream
Consolidates stored memories by merging duplicates, resolving contradictions, and pruning stale entries. Use when memory count is high, search results feel noisy or repetitive, or periodic cleanup is needed to maintain memory quality.
mem0-status
Diagnoses mem0 connectivity, API key validity, and memory read/write functionality. Use when memory operations fail, searches return empty, addmemory errors occur, or to verify the plugin is working correctly.