本体 (Ontology)
SkillDocs & knowledgeTyped knowledge graph for structured agent memory and composable skills. Supports creating/querying entities (people, projects, tasks, events, documents), relation objects, constraint checking, planning multi-step operations as graph transformations, and cross-skill state sharing. Trigger words: "记住
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the 本体 (Ontology) skill
What this skill tells your AI
The instructions your AI receives, as published by l-lesteryu/openclaw-hot-skills-zh in skills/ontology-zh/SKILL.md and read by ahel’s review.
类型化词汇表 + 约束系统,用于将知识表示为可验证的图结构。
核心概念
一切皆为实体,拥有类型、属性以及与其他实体的关系。每次变更都会在提交前进行类型约束验证。
实体: { id, type, properties, relations, created, updated }
关系: { from_id, relation_type, to_id, properties }
何时使用
| 触发词 | 操作 |
|---|---|
| "记住……" | 创建/更新实体 |
| "我知道关于X什么?" | 查询图 |
| "将X关联到Y" | 创建关系 |
| "显示项目Z的所有任务" | 图遍历 |
| "什么依赖于X?" | 依赖查询 |
| 规划多步骤工作 | 建模为图变换 |
| 技能需要共享状态 | 读写本体对象 |
核心类型
# 智能体与人员
Person: { name, email?, phone?, notes? }
Organization: { name, type?, members[] }
# 工作
Project: { name, status, goals[], owner? }
Task: { title, status, due?, priority?, assignee?, blockers[] }
Goal: { description, target_date?, metrics[] }
# 时间与地点
Event: { title, start, end?, location?, attendees[], recurrence? }
Location: { name, address?, coordinates? }
# 信息
Document: { title, path?, url?, summary? }
Message: { content, sender, recipients[], thread? }
Thread: { subject, participants[], messages[] }
Note: { content, tags[], refs[] }
# 资源
Account: { service, username, credential_ref? }
Device: { name, type, identifiers[] }
Credential: { service, secret_ref } # 切勿直接存储密钥
# 元数据
Action: { type, target, timestamp, outcome? }
Policy: { scope, rule, enforcement }
存储
默认路径:memory/ontology/graph.jsonl
{"op":"create","entity":{"id":"p_001","type":"Person","properties":{"name":"Alice"}}}
{"op":"create","entity":{"id":"proj_001","type":"Project","properties":{"name":"Website Redesign","status":"active"}}}
{"op":"relate","from":"proj_001","rel":"has_owner","to":"p_001"}
通过脚本或直接文件操作进行查询。对于复杂图结构,建议迁移到 SQLite。
仅追加规则
在处理现有的本体数据或 schema 时,应追加/合并变更,而非覆盖文件。这保留了历史记录,避免覆盖先前的定义。
工作流
创建实体
python3 scripts/ontology.py create --type Person --props '{"name":"Alice","email":"alice@example.com"}'
查询
python3 scripts/ontology.py query --type Task --where '{"status":"open"}'
python3 scripts/ontology.py get --id task_001
python3 scripts/ontology.py related --id proj_001 --rel has_task
关联实体
python3 scripts/ontology.py relate --from proj_001 --rel has_task --to task_001
验证
python3 scripts/ontology.py validate # 检查所有约束
约束
在 memory/ontology/schema.yaml 中定义:
types:
Task:
required: [title, status]
status_enum: [open, in_progress, blocked, done]
Event:
required: [title, start]
validate: "end >= start if end exists"
Credential:
required: [service, secret_ref]
forbidden_properties: [password, secret, token] # 强制使用间接引用
relations:
has_owner:
from_types: [Project, Task]
to_types: [Person]
cardinality: many_to_one
blocks:
from_types: [Task]
to_types: [Task]
acyclic: true # 禁止循环依赖
技能契约
使用本体的技能应声明:
# 在 SKILL.md 的 frontmatter 或头部中
ontology:
reads: [Task, Project, Person]
writes: [Task, Action]
preconditions:
- "Task.assignee must exist"
postconditions:
- "Created Task has status=open"
将规划建模为图变换
将多步骤计划建模为一系列图操作:
计划:"安排团队会议并创建后续任务"
1. CREATE Event { title: "Team Sync", attendees: [p_001, p_002] }
2. RELATE Event -> has_project -> proj_001
3. CREATE Task { title: "Prepare agenda", assignee: p_001 }
4. RELATE Task -> for_event -> event_001
5. CREATE Task { title: "Send summary", assignee: p_001, blockers: [task_001] }
每个步骤在执行前都会进行验证。遇到约束冲突时自动回滚。
集成模式
与因果推断集成
将本体变更记录为因果动作:
# 在创建/更新实体时,同时记录到因果动作日志
action = {
"action": "create_entity",
"domain": "ontology",
"context": {"type": "Task", "project": "proj_001"},
"outcome": "created"
}
跨技能通信
# 邮件技能创建承诺
commitment = ontology.create("Commitment", {
"source_message": msg_id,
"description": "周五前发送报告",
"due": "2026-01-31"
})
# 任务技能获取该承诺
tasks = ontology.query("Commitment", {"status": "pending"})
for c in tasks:
ontology.create("Task", {
"title": c.description,
"due": c.due,
"source": c.id
})
快速开始
# 初始化本体存储
mkdir -p memory/ontology
touch memory/ontology/graph.jsonl
# 创建 schema(可选但推荐)
python3 scripts/ontology.py schema-append --data '{
"types": {
"Task": { "required": ["title", "status"] },
"Project": { "required": ["name"] },
"Person": { "required": ["name"] }
}
}'
# 开始使用
python3 scripts/ontology.py create --type Person --props '{"name":"Alice"}'
python3 scripts/ontology.py list --type Person
参考文档
references/schema.md— 完整的类型定义和约束模式references/queries.md— 查询语言和遍历示例
指令范围
运行时指令操作本地文件(memory/ontology/graph.jsonl 和 memory/ontology/schema.yaml),并提供创建/查询/关联/验证的 CLI 用法;这些都在范围内。本技能读写工作区文件,首次使用时会自动创建 memory/ontology 目录。验证包括属性/枚举/禁止属性检查、关系类型/基数验证、标记为 acyclic: true 的关系的无环检查,以及 Event 的 end >= start 检查;其他高级约束可能仅为文档声明,除非在代码中实现。
Signals
- GitHub stars
- 54
- Forks
- 8
- Last commit
- Apr 2026
Advanced
- Catalog kind
- skill
- Gateway key
ontology-zh- Source
- github.com/l-lesteryu/openclaw-hot-skills-zh