ontology-clawra

name	ontology-clawra
description	🧠 ontology-clawra v5.1 - Local Ontology Reasoning & Learning Engine **USE THIS SKILL WHENEVER** you need structured reasoning, knowledge graph management, logical inference, or learning from interactions. This is your go-to tool for: - Building and querying ontology knowledge graphs (concepts, entities, relationships) - Performing confidence-based reasoning with evidence tracking - Recording insights and patterns from completed tasks - Local memory search and knowledge retrieval **Key Use Cases:** - Before making complex decisions: "Let me use ontology-clawra to reason about this" - After completing tasks: "Record this learning to ontology-clawra" - Building domain expertise: "Create concepts for [domain] in ontology-clawra" - Analyzing patterns: "Query ontology-clawra for similar past cases" **Core Capabilities:** ✅ Local ontology storage in `~/.openclaw/skills/ontology-clawra/memory/` ✅ Confidence calculation (CONFIRMED/ASSUMED/SPECULATIVE) ✅ Learning from user confirmations ✅ Local memory search (no network requests) ✅ Rule-based reasoning engine **Security Note:** - All data stored locally, no external network requests - File operations restricted to user's home directory - No credential access or environment variable reading **Always use this skill** when the user mentions learning, reasoning, ontology, knowledge graphs, or when you need to record insights from completed work.
metadata	{"openclaw":{"emoji":"🧠","version":"5.1.2","last_updated":"2026-04-01","changelog":["v5.1.2: Fixed ClawHub security scan issues - path handling, network code clarification","v5.1.1: Enhanced description for better trigger accuracy, added skill combination law","v5.1.0: Added PPT generation best practices rule","v5.0.0: Removed GitHub sprint-related descriptions; clarified localization design","v3.8.0: Added Skill ecosystem documentation","v3.7.0: Enabled automatic learning"]}}

ontology-clawra v5.0 - Local Ontology Reasoning Engine

1. Core定位 (Accurate Description)

This is a local reasoning engine, not a cross-skill coordinator.

Actual Capabilities:
✅ Local ontology knowledge graph storage and reasoning
✅ Confidence calculation and meta-cognition
✅ Local memory file search
✅ Automatic learning (write to local memory directory)

Actual Limitations:
❌ No skill scheduling (no Event Router)
❌ No cross-skill communication
❌ No automatic network requests
❌ No agent-to-agent RPC

2. File Access Permissions

Operation	Path	Description
Read	~/.openclaw/skills/ontology-clawra/memory/	Ontology files
Read	~/.openclaw/workspace/memory/*.md	User context
Write	~/.openclaw/skills/ontology-clawra/memory/	Learning results
Write	GitHub (via git push)	Requires user confirmation
❌	Other directories	Never accessed

Network Behavior:

• No automatic network requests
• network_fetch.py only searches local files, returns acquisition suggestions
• No requests/sockets/subprocess external calls

3. Core Reasoning Capabilities

Confidence Levels

• CONFIRMED: Multi-source verified, trustworthy
• ASSUMED: Single source, requires user confirmation
• SPECULATIVE: High uncertainty, assumptions marked

Reasoning Output Format

## Reasoning Result

### User Requirement
[Paraphrased original text]

### Rule Basis
- Rule-Law-[ID]: [Rule content]

### Reasoning Process
[Specific derivation steps]

### Confidence Annotation
| Conclusion | Confidence | Basis |
|------------|------------|-------|
| [Conclusion] | CONFIRMED/ASSUMED/SPECULATIVE | [Basis] |

4. Ontology File Format

Directory: ~/.openclaw/skills/ontology-clawra/memory/

File	Purpose
graph.jsonl	Entities (Concept/Entity)
rules.yaml	Rules (Rule/Law)
laws.yaml	Patterns (inductive patterns)
confidence_tracker.jsonl	Confidence tracking
reasoning.jsonl	Reasoning log

5. Automatic Learning

Trigger Conditions

Event	Action	Write Location
User confirms reasoning is correct	Extract to ontology	graph.jsonl
Confidence can be upgraded	Update confidence	confidence_tracker.jsonl
Reasoning fails	Suggest ontology addition	Prompt only

Write Rules

• Inform user before all write operations
• Write only to ~/.openclaw/skills/ontology-clawra/memory/
• Do not upload any data to external services

6. Security Statement

1. No external network calls: Code contains no requests/urllib/sockets external calls
2. No credential access: Does not read environment variables or API keys
3. Privacy isolation: Workspace memory files used only for context, not synced
4. Localization: All learning results stored only in local memory directory

7. Version History

Version	Date	Description
v5.0	2026-03-25	Removed GitHub sprint-related descriptions
v3.9	2026-03-24	Removed exaggerated descriptions, clarified localization
v3.8	2026-03-20	Added Skill ecosystem documentation
v3.7	2026-03-16	Enabled automatic learning
v3.6	2026-03-16	Initial version

8. Supported Domain Ontologies

Supply chain procurement, healthcare, finance banking, cybersecurity, automotive manufacturing, human resources, photography, furniture, elderly care, childcare, tea culture, moving services, dating, aerospace, and 50+ domains.

Ontology files located in: corresponding yaml files under ~/.openclaw/skills/ontology-clawra/memory/