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 ontology-coregit 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/ontology-core)<a href="https://agentmods.dev/skills/unicomai/wanwu/ontology-core"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/ontology-core/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/ontology-core"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/ontology-core.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 | $0.00148 | $0.02568 |
| Opus 5 | $0.00074 | $0.01284 |
| Sonnet 5 | $0.00030 | $0.00514 |
| Haiku 4.5 | $0.00015 | $0.00257 |
Grade A, and why
ontology-core 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 5d 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.
**别名**：`ontology curl` 等同于 `ontology call`。 How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ontology CLI
平台的命令行工具 ontology，覆盖知识网络管理与查询、数据源、数据视图、Vega 可观测、通用 API 调用。
安装
无需安装。ontology 已内置在执行环境，直接调用即可。
使用方式
ontology <command> [subcommand] [options]
完整子命令与参数以当前 CLI 为准：运行 ontology --help（或 -h）查看与代码同步的用法列表；查版本用 ontology --version / -V。子命令细节用 ontology <group> <subcommand> --help（例如 ontology bkn push --help、ontology dataview find --help）。
本 skill 下的 references/*.md 与 CLI 行为对齐；表格与 reference 为速查。
别名：ontology curl 等同于 ontology call。
业务域（business domain）：ontology CLI 没有 config 命令组；business domain 按命令传 -bd <value> 参数。本部署默认使用 bd_public，无需显式传入。
使用前提
**直接执行 ontology <command> 即可。
CLI 在同网络下会按服务名直连后端（vega-backend:13014、vega-bkn-backend:13014、vega-mdl-data-model:13020、vega-mdl-uniquery:13011、vega-data-connection:8098、vega-ontology-query:13018、vega-agent:5000），无需设置 ONTOLOGY_BASE_URL。
调用约定
ontology --user-id <accountId> <command> [options]
- 必须显式传
--user-id <accountId>（顶层选项，写在子命令之前）。本部署下所有命令组（bkn/ds/dataview/vega/call，含curl别名）都适用；缺省时调用会失败或语义错误- 若未拿到 accountId，先向用户索要，不要自行编造或省略
- ontology CLI 没有
auth/token/config命令组，无需任何登录或登录状态检查 - 出现 401/认证类错误时，直接报错，不要尝试刷新 token 或引导用户登录
业务域优先级
- 命令行
-bd <value>参数（每条命令显式传入） - 默认
bd_public
常见 CLI 坑（编排层必读）
下列三类陷阱在编排层频繁误用，会直接导致语法报错或全量输出截断。编排前先核对，不要等失败后再读 references。
| 命令 | 错误用法 | 正确用法 |
|---|---|---|
bkn object-type query 的 condition |
{"field":{"op":"val"}} 等嵌套写法 |
扁平 {"field":"f","operation":"op","value":"v"}；多条件用 {"operation":"and"/"or","sub_conditions":[...]} |
bkn object-type get |
用 --name "中文名" 选对象类 |
必须传 <ot-id>；不知道 id 时先 bkn object-type list 拿 id |
bkn object-type list <kn-id> 直接全量 |
直接消费 full output | 单次返回常 30~50KB 易截断；只为路由/选 ot 时，用 jq 投影到摘要（见下方"查询策略"） |
jq 投影通用规则：不同 ontology 命令的返回结构不一致，套同一个模板会拿到 null 或 Cannot iterate 报错。常用命令对照：
| 命令 | 顶层结构 | jq 入口 |
|---|---|---|
bkn object-type list |
{entries:[...]} |
.entries[] | ... |
bkn object-type get |
{entries:[obj]}（单元素也包一层 entries） |
.entries[0] | ... 或 .entries[] | ... |
bkn object-type query |
{datas:[...], search_after:[...]} |
.datas[] | ... |
bkn list / relation-type list 等 |
多数为 {entries:[...]} |
.entries[] | ... |
dataview list |
裸数组 [...] |
.[] | ... |
dataview get |
裸对象 {...} |
. 或直接访问字段 |
What ships with it
6 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.
- 5d ago First seen · 140 lines · 148 tokens per session scan A abb5bb7a38bf
ontology-core is a skill published in the GitHub repository UnicomAI/wanwu (2,461 stars, last pushed 4d ago), licensed Apache-2.0. It adds 148 tokens to every session and 2,568 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.
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