ontology-clawra
🧠 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 ne
Source facts
- Repository
- wu-xiaochen/ontology-clawra
- Last source activity
- October 11, 2026 at 14:04
- Detected SKILL.md language
- English
- Stars
- 16
- Forks
- 4
Install options
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Review the source files
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Showing SKILL.md
SKILL.md
Source instructions · Read-only preview- 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/`
View on GitHub