wu-xiaochen

ontology-clawra

AI Agentv5.1.0
By wu-xiaochenUpdated 2026-09-1229 versions · latest released 2026-03-25@clawhub_wu-xiaochen/ontology-clawra
Context ManagementMemory#Ontology#Knowledge Graph#Reasoning#Self Evolution#笔记

According to AlphaMoat, as of 2026-09, ontology-clawra has 1,784 downloads and 1 stars — ranked #4,586 of 5,078 AI skills overall, and #902 of 969 in AI Agent.

Installs
215
Downloads
1.8K
Stars
1
Overall Rank
#4,586
Top 91% overall · Top 94% in AI Agent
PlatformInstallsDownloadsStarsComments
ClawHub ↗301.5K1-
SkillHub ↗2151.8K1—

Platforms count differently and update at different times.

What this skill does

The skill describes structured knowledge storage, confidence calculation, rule learning, and reading workspace memory. File access is limited to the documented paths; it explicitly excludes cross-skill scheduling and automatic network requests. This does not mean local files were read or changed. Ontology files may store persistent workspace context; inspect proposed writes and keep sensitive information out unless its storage is authorized.

Profile published 2026-10-27

What you can do with it

  • Organize a local knowledge graph and rules
  • Retrieve context from workspace memory

When to use it

  • When designing local structured memory and reasoning
  • When reviewing file access boundaries and capabilities

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Organize these concepts into a local ontology graph
Explain which memory files this skill may access and its limits

Monthly Trend

Downloads1.8K
3681.1K1.9K2026-03 · Downloads 4732026-05 · Downloads 1.0K2026-06 · Downloads 1.1K2026-07 · Downloads 1.3K2026-08 · Downloads 1.4K2026-09 · Downloads 1.8K26-0326-09
Stars1
0112026-03 · Stars -2026-05 · Stars 12026-06 · Stars 12026-07 · Stars 12026-08 · Stars 12026-09 · Stars 126-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-091.8K—1
2026-081.4K+8.3%1
2026-071.3K+13.9%1
2026-061.1K+9.1%1
2026-051.0K—1
2026-03473—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

4.6 KB · ClawHub v5.1.0
---
name: ontology-clawra
description: |
  ontology-clawra v5.0 - Local Ontology Reasoning Engine

  A local structured reasoning engine with confidence management and automatic learning.
  Reads user workspace memory files for context. No cross-skill scheduling or network communication.

  Core Capabilities:
  - Ontology knowledge graph storage and reasoning
Show all (148 lines)
  - Confidence calculation and meta-cognition
  - Local memory search and rule learning

  File Access: Read/write only ~/.openclaw/skills/ontology-clawra/memory/ for ontology files;
  Read only ~/.openclaw/workspace/memory/*.md for user context.
  No cross-skill scheduling, no automatic network requests.

metadata:
  {
    "openclaw": {
      "emoji": "🧠",
      "version": "5.1.0",
      "last_updated": "2026-03-25",
      "changelog": [
        "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/`

Popular in AI Agent

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.