关于 ontology
ontology 是用于将知识表示为可验证图谱的类型化词汇与约束系统,适合需要在技能间共享结构化状态的 Agent。实体变更会先按类型约束验证,并支持查询、关系遍历和规划操作。
主要功能
- 01类型化实体与关系
- 02变更前校验约束
- 03查询和图谱遍历
- 04JSONL 文件存储
- 05多步计划建模
适用场景
- 01记录和查询人物、项目与任务
- 02关联项目、负责人和任务
- 03检查数据是否满足类型约束
- 04将多步计划表示为图操作
安装
复制下面的命令,在终端中运行。
$
npx skills add https:/ / github.com/ sundial-org/ awesome-openclaw-skills --skill ontology安装后在 Claude Code 中输入/ontology确认已加载。
包含的文件
除 SKILL.md 外,安装时一起下载的参考资料和脚本。
references/queries.mdschema.mdscripts/ontology.py详细介绍
本体
用于将知识表示为可验证图的类型化词汇与约束系统。
核心概念
所有内容都是一个实体,具有类型、属性以及与其他实体的关系。每次变更都会先根据类型约束进行验证,再提交。
Entity: { id, type, properties, relations, created, updated }
Relation: { from_id, relation_type, to_id, properties }
适用场景
| 触发条件 | 操作 |
|---|---|
| “记住……” | 创建/更新实体 |
| “我对 X 了解什么?” | 查询图 |
| “将 X 与 Y 关联” | 创建关系 |
| “显示项目 Z 的所有任务” | 遍历图 |
| “哪些内容依赖于 X?” | 查询依赖关系 |
| 规划多步骤工作 | 将其建模为图转换 |
| 技能需要共享状态 | 读写本体对象 |
核心类型
# Agents & People
Person: { name, email?, phone?, notes? }
Organization: { name, type?, members[] }
# Work
Project: { name, status, goals[], owner? }
Task: { title, status, due?, priority?, assignee?, blockers[] }
Goal: { description, target_date?, metrics[] }
# Time & Place
Event: { title, start, end?, location?, attendees[], recurrence? }
Location: { name, address?, coordinates? }
# Information
Document: { title, path?, url?, summary? }
Message: { content, sender, recipients[], thread? }
Thread: { subject, participants[], messages[] }
Note: { content, tags[], refs[] }
# Resources
Account: { service, username, credential_ref? }
Device: { name, type, identifiers[] }
Credential: { service, secret_ref } # Never store secrets directly
# Meta
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"}
通过脚本或直接操作文件进行查询。对于复杂图,可迁移到 SQLite。
工作流
创建实体
python3 scripts/ontology.py create --type Person --props '{"name":"Alice","email":"[email protected]"}'
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 # Check all constraints
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] # Force indirection
relations:
has_owner:
from_types: [Project, Task]
to_types: [Person]
cardinality: many_to_one
blocks:
from_types: [Task]
to_types: [Task]
acyclic: true # No circular dependencies
技能契约
使用本体的技能应声明:
# In SKILL.md frontmatter or header
ontology:
reads: [Task, Project, Person]
writes: [Task, Action]
preconditions:
- "Task.assignee must exist"
postconditions:
- "Created Task has status=open"
将规划建模为图转换
将多步骤计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] }
每个步骤都会在执行前进行验证。违反约束时回滚。
集成模式
与因果推断集成
将本体变更记录为因果操作:
# When creating/updating entities, also log to causal action log
action = {
"action": "create_entity",
"domain": "ontology",
"context": {"type": "Task", "project": "proj_001"},
"outcome": "created"
}
跨技能通信
# Email skill creates commitment
commitment = ontology.create("Commitment", {
"source_message": msg_id,
"description": "Send report by Friday",
"due": "2026-01-31"
})
# Task skill picks it up
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
# Initialize ontology storage
mkdir -p memory/ontology
touch memory/ontology/graph.jsonl
# Create schema (optional but recommended)
cat > memory/ontology/schema.yaml << 'EOF'
types:
Task:
required: [title, status]
Project:
required: [name]
Person:
required: [name]
EOF
# Start using
python3 scripts/ontology.py create --type Person --props '{"name":"Alice"}'
python3 scripts/ontology.py list --type Person
参考资料
references/schema.md— 完整的类型定义和约束模式references/queries.md— 查询语言和遍历示例
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