Architecture
The Compilation Pipeline
flowchart LR MD["SKILL.md"] --> LLM["Claude"] --> PYD["Pydantic"] --> SEC["Security"] --> RDF["RDF"] --> SHACL["SHACL"] SHACL -->|"PASS"| TTL["ontoskill.ttl"] --> MCP["OntoMCP"] <--> AGENT["Agent"] SHACL -->|"FAIL"| FAIL["❌ Block"]
style MD fill:#6dc9ee,stroke:#2a2a3e,color:#0d0d14 style LLM fill:#e91e63,stroke:#2a2a3e,color:#f0f0f5 style PYD fill:#e91e63,stroke:#2a2a3e,color:#f0f0f5 style SEC fill:#e91e63,stroke:#2a2a3e,color:#f0f0f5 style RDF fill:#e91e63,stroke:#2a2a3e,color:#f0f0f5 style SHACL fill:#e91e63,stroke:#2a2a3e,color:#f0f0f5 style TTL fill:#9763e1,stroke:#2a2a3e,color:#f0f0f5 style MCP fill:#92eff4,stroke:#2a2a3e,color:#0d0d14 style AGENT fill:#6dc9ee,stroke:#2a2a3e,color:#0d0d14 style FAIL fill:#ff6b6b,stroke:#2a2a3e,color:#f0f0f5Stage Details
| Stage | Input | Output | Description |
|---|---|---|---|
| Extract | SKILL.md | ExtractedSkill | LLM extracts structured knowledge |
| Security | ExtractedSkill | ExtractedSkill | Regex + LLM review for threats |
| Serialize | ExtractedSkill | RDF Graph | Pydantic → RDF triples |
| Validate | RDF Graph | ValidationResult | SHACL shapes check validity |
| Write | RDF Graph | .ttl file | Atomic write with backup |
Skill Types
flowchart LR SKILL["oc:Skill<br/>━━━━━━━━━━<br/>Base class"] --> EXE["oc:ExecutableSkill<br/>━━━━━━━━━━<br/>Has code to run"] SKILL --> DEC["oc:DeclarativeSkill<br/>━━━━━━━━━━<br/>Knowledge only"]
EXE --> PAYLOAD["hasPayload exactly 1<br/>━━━━━━━━━━<br/>oc:code OR oc:executionPath"] DEC --> NOPAYLOAD["hasPayload forbidden<br/>━━━━━━━━━━<br/>owl:disjointWith"]
style SKILL fill:#9763e1,stroke:#2a2a3e,color:#f0f0f5 style EXE fill:#abf9cc,stroke:#2a2a3e,color:#0d0d14 style DEC fill:#6dc9ee,stroke:#2a2a3e,color:#0d0d14The classification is automatic — you don’t specify it. If a skill has code to execute, it’s executable. If it’s knowledge-only, it’s declarative. These classes are mutually exclusive (owl:disjointWith).
OWL 2 Properties
flowchart LR A["dependsOn<br/>━━━━━━━━━━<br/>AsymmetricProperty<br/>A needs B"] --> UC1["Prerequisites<br/>━━━━━━━━━━<br/>Install before run"] B["extends<br/>━━━━━━━━━━<br/>TransitiveProperty<br/>A → B → C"] --> UC2["Inheritance<br/>━━━━━━━━━━<br/>Override behavior"] C["contradicts<br/>━━━━━━━━━━<br/>SymmetricProperty<br/>A ↔ B"] --> UC3["Conflicts<br/>━━━━━━━━━━<br/>Mutually exclusive"] D["implements<br/>━━━━━━━━━━<br/>Interface<br/>compliance"] --> UC4["Contracts<br/>━━━━━━━━━━<br/>Guaranteed API"] E["exemplifies<br/>━━━━━━━━━━<br/>Pattern<br/>demonstration"] --> UC5["Examples<br/>━━━━━━━━━━<br/>Best practices"]
style A fill:#abf9cc,stroke:#2a2a3e,color:#0d0d14 style B fill:#abf9cc,stroke:#2a2a3e,color:#0d0d14 style C fill:#ff6b6b,stroke:#2a2a3e,color:#f0f0f5 style D fill:#6dc9ee,stroke:#2a2a3e,color:#0d0d14 style E fill:#92eff4,stroke:#2a2a3e,color:#0d0d14| Property | Type | Semantics |
|---|---|---|
dependsOn | Asymmetric | A needs B, but B doesn’t need A |
extends | Transitive | If A extends B and B extends C, then A extends C |
contradicts | Symmetric | If A contradicts B, then B contradicts A |
implements | Irreflexive | A cannot implement itself |
exemplifies | Irreflexive | A cannot exemplify itself |
The Validation Gatekeeper
Every skill must pass SHACL validation before being written. The constitutional shapes enforce:
| Constraint | Rule | Error |
|---|---|---|
resolvesIntent | Required (min 1) | Skill must resolve at least one intent |
generatedBy | Required (exactly 1) | Skill must have attestation |
requiresState | Must be IRI | Must be a valid state URI |
yieldsState | Must be IRI | Must be a valid state URI |
handlesFailure | Must be IRI | Must be a valid state URI |
Security Pipeline
flowchart LR INPUT["User Content"] --> NORM["Unicode NFC"] NORM --> PATTERNS["Regex Check"] PATTERNS --> LLM["LLM Review"] LLM --> DECISION{"Safe?"}
DECISION -->|"Yes"| PASS["✅ Allow"] DECISION -->|"No"| BLOCK["❌ Reject"]
style INPUT fill:#1a1a2e,stroke:#2a2a3e,color:#f0f0f5 style NORM fill:#6dc9ee,stroke:#2a2a3e,color:#0d0d14 style PATTERNS fill:#ff6b6b,stroke:#2a2a3e,color:#f0f0f5 style LLM fill:#9763e1,stroke:#2a2a3e,color:#f0f0f5 style DECISION fill:#feca57,stroke:#2a2a3e,color:#0d0d14 style PASS fill:#abf9cc,stroke:#2a2a3e,color:#0d0d14 style BLOCK fill:#ff6b6b,stroke:#2a2a3e,color:#f0f0f5Detected threats:
- Prompt injection (
ignore instructions,system:,you are now) - Command injection (
; rm,| bash, command substitution) - Data exfiltration (
curl -d,wget --data) - Path traversal (
../,/etc/passwd) - Credential exposure (
api_key=,password=)
Project Structure
ontoskills/├── core/ # OntoCore — Python skill compiler│ ├── cli.py # Click CLI interface│ ├── config.py # Configuration constants│ ├── core_ontology.py # Namespace and TBox ontology creation│ ├── differ.py # Semantic drift detector│ ├── exceptions.py # Exception hierarchy with exit codes│ ├── extractor.py # ID and hash generation│ ├── linter.py # Static ontology linter│ ├── schemas.py # Pydantic models│ ├── security.py # Defense-in-depth security│ ├── serialization.py # RDF serialization with SHACL gatekeeper│ ├── sparql.py # SPARQL query engine│ ├── storage.py # File I/O, merging, orphan cleanup│ ├── transformer.py # LLM tool-use extraction│ ├── validator.py # SHACL validation gatekeeper│ └── tests/ # Test suite (170+ tests)├── mcp/ # OntoMCP — Rust MCP server│ ├── Cargo.toml # Rust package manifest│ └── src/│ ├── main.rs # MCP stdio server│ └── catalog.rs # Ontology catalog + planner├── skills/ # Input: SKILL.md definitions├── ontoskills/ # Output: compiled .ttl files│ ├── ontoskills-core.ttl # Core ontology with states│ └── */ontoskill.ttl # Individual skill modules├── registry/ # Official registry blueprint└── specs/ └── ontoskills.shacl.ttl # SHACL shapes constitutionAny source skill directory works — add a SKILL.md file and OntoCore will compile it to a validated ontology module.
Runtime Model
OntoMCP reads compiled ontology packages from ontoskills/. It does not read raw SKILL.md sources directly.
The user-facing ontoskills CLI is responsible for:
- installing
ontomcp - installing
ontocore - importing raw source repositories into
skills/vendor/ - installing compiled packages from the official or third-party registries
- enabling and disabling skills before they reach the MCP runtime
Registry Model
The official registry is published as a static GitHub repository and is built in by default.
- Official packages are available immediately after install
- Third-party registries are added explicitly with
registry add-source - Raw source repositories are compiled locally before being installed into
ontoskills/vendor/