本体论(Ontology)
SkillDocs & knowledgeTyped knowledge graph — for structured Agent memory and composable skills. Use for creating/querying entities (Person, Project, Task, Event, Document), linking related objects, running constraint validation, modeling multi-step operations as graph transformations, or sharing state across skills. Tri
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 本体论(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-v4-zh/SKILL.md and read by ahel’s review.
一个类型化词汇表 + 约束系统,将知识表示为可验证的图谱。
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。每次变更在提交前都会根据类型约束进行验证。
Entity: { id, type, properties, relations, created, updated }
Relation: { from_id, relation_type, to_id, properties }
使用场景
| 触发词 | 操作 |
|---|---|
| "记住……" | 创建/更新实体 |
| "我知道关于 X 的什么?" | 查询图谱 |
| "链接 X 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[] }
# 工作管理
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 } # 永远不要直接存储密钥
# 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。对于复杂图谱,可迁移至 SQLite。
仅追加规则
在处理现有本体数据或 Schema 时,追加/合并变更而非覆盖文件。这样可以保留历史记录,避免破坏先前的定义。
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 # 不允许循环依赖
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
将多步骤规划建模为一系列图操作:
Plan: "Schedule team meeting and create follow-up tasks"
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] }
每一步在执行前都会被验证。约束违反时自动回滚。
集成模式
与因果推理集成
将本体变更记录为因果动作:
# 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": "Send report by Friday",
"due": "2026-01-31"
})
# 任务技能接收并处理
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
参考资料
references/schema.md— 完整类型定义与约束模式references/queries.md— 查询语言与遍历示例
指令范围
运行时指令操作本地文件(memory/ontology/graph.jsonl 和 memory/ontology/schema.yaml),提供创建/查询/关联/验证的 CLI 用法,这在范围内。技能会读/写工作区文件,使用时会自动创建 memory/ontology 目录。验证包括属性/枚举/禁止字段检查、关系类型/基数验证、标记 acyclic: true 的关系无环检测,以及 Event 的 end >= start 检查;其他高级约束可能仅为文档说明,除非已在代码中实现。
Signals
- GitHub stars
- 54
- Forks
- 8
- Last commit
- Apr 2026
Advanced
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- Gateway key
ontology-l-lesteryu- Source
- github.com/l-lesteryu/openclaw-hot-skills-zh