models

src/personal_mcp/catalog/server.py

@@ -4,57 +4,15 @@ from typing import Any
 
 from personal_mcp.registry.contracts import DocsRegistry
 from personal_mcp.registry.models.registry import PromptRecord
+from personal_mcp.registry.models.registry import PromptSummaryPayload
+from personal_mcp.registry.models.registry import SkillPatternPayload
 from personal_mcp.registry.models.registry import SkillRecord
+from personal_mcp.registry.models.registry import SkillSummaryPayload
 
 DEFAULT_LIMIT = 20
 MAX_LIMIT = 100
 
 
-def _pattern_payload(skill: SkillRecord) -> dict[str, Any]:
-    return {
-        "id": skill.skill_id,
-        "name": skill.name,
-        "version": skill.version,
-        "description": skill.description,
-        "tags": list(skill.tags),
-        "depends_on": list(skill.depends_on),
-        "capabilities": list(skill.capabilities),
-        "resources": list(skill.capabilities),
-    }
-
-
-def _summary_payload(skill: SkillRecord) -> dict[str, Any]:
-    return {
-        "id": skill.skill_id,
-        "name": skill.name,
-        "description": skill.description,
-        "tags": list(skill.tags),
-        "capabilities": list(skill.capabilities),
-        "version": skill.version,
-        "document_uri": skill.document_uri,
-        "detail_uri": f"resource://catalog/skills/{skill.skill_id}",
-        "resources": {
-            "document": skill.document_uri,
-            "references": [
-                f"resource://skills/{skill.skill_id}/references/{ref_id}" for ref_id in sorted(skill.references)
-            ],
-        },
-    }
-
-
-def _prompt_summary_payload(prompt: PromptRecord) -> dict[str, Any]:
-    return {
-        "id": prompt.prompt_id,
-        "name": prompt.name,
-        "description": prompt.description,
-        "tags": list(prompt.tags),
-        "capabilities": list(prompt.capabilities),
-        "version": prompt.version,
-        "document_uri": prompt.document_uri,
-        "detail_uri": f"resource://catalog/prompts/{prompt.prompt_id}",
-    }
-
-
 def _skill_matches(
     skill: SkillRecord,
     *,
@@ -130,7 +88,7 @@ def build_skills_index_payload(
     next_cursor = start + normalized_limit
 
     return {
-        "skills": [_summary_payload(skill) for skill in page],
+        "skills": [SkillSummaryPayload.from_record(skill).model_dump() for skill in page],
         "total": len(matches),
         "cursor": str(start),
         "limit": normalized_limit,
@@ -187,7 +145,7 @@ def build_prompts_index_payload(
     next_cursor = start + normalized_limit
 
     return {
-        "prompts": [_prompt_summary_payload(prompt) for prompt in page],
+        "prompts": [PromptSummaryPayload.from_record(prompt).model_dump() for prompt in page],
         "total": len(matches),
         "cursor": str(start),
         "limit": normalized_limit,
@@ -240,7 +198,7 @@ def search_patterns_payload(
 
     page = matches[normalized_skip : normalized_skip + normalized_limit]
     return {
-        "patterns": [_pattern_payload(skill) for skill in page],
+        "patterns": [SkillPatternPayload.from_record(skill).model_dump() for skill in page],
         "total": len(matches),
         "skip": normalized_skip,
         "limit": normalized_limit,
@@ -250,7 +208,7 @@ def search_patterns_payload(
 def get_pattern_by_id_payload(registry: DocsRegistry, skill_id: str) -> dict[str, Any]:
     if skill_id not in registry.skills_by_id:
         return {"found": False, "id": skill_id}
-    return {"found": True, "pattern": _pattern_payload(registry.skills_by_id[skill_id])}
+    return {"found": True, "pattern": SkillPatternPayload.from_record(registry.skills_by_id[skill_id]).model_dump()}
 
 
 def search_prompts_payload(
@@ -277,7 +235,7 @@ def search_prompts_payload(
 
     page = matches[normalized_skip : normalized_skip + normalized_limit]
     return {
-        "prompts": [_prompt_summary_payload(prompt) for prompt in page],
+        "prompts": [PromptSummaryPayload.from_record(prompt).model_dump() for prompt in page],
         "total": len(matches),
         "skip": normalized_skip,
         "limit": normalized_limit,

src/personal_mcp/registry/ingest/skill.py

@@ -1,11 +1,20 @@
 from collections.abc import Iterable
+from collections.abc import Mapping
 from dataclasses import dataclass
 from fnmatch import fnmatch
 from importlib.resources.abc import Traversable
 from itertools import groupby
 from itertools import starmap
+from pathlib import PurePosixPath
 from typing import Self
 
+from personal_mcp.registry.models.common import ReferenceEntry
+from personal_mcp.registry.models.skill import SkillFrontmatter
+from personal_mcp.registry.models.skill import StoredSkill
+from personal_mcp.registry.models.skill import StoredSkillReference
+from personal_mcp.skills.document_loader import _reference_id_from_filename
+from personal_mcp.skills.document_loader import _title_from_reference_filename
+
 from .document import MarkdownDocument
 
 
@@ -49,3 +58,50 @@ def group_skill_paths(docs: Iterable[MarkdownDocument]) -> dict[str, set[Markdow
     )
     grouped = groupby(s, key=lambda doc: doc.skill_slug)
     return {k: set(g) for k, g in grouped if k}
+
+
+def _discover_reference_entries(bundle: SkillFilesBundle) -> dict[str, ReferenceEntry]:
+    discovered: dict[str, ReferenceEntry] = {}
+    for reference_doc in bundle.references:
+        ref_id = _reference_id_from_filename(reference_doc.relpath.name)
+        if ref_id is None:
+            continue
+        discovered[ref_id] = ReferenceEntry(
+            path=PurePosixPath("references").joinpath(reference_doc.relpath.name).as_posix(),
+            title=_title_from_reference_filename(reference_doc.relpath.name),
+        )
+    return discovered
+
+
+def build_stored_skill(
+    *,
+    bundle: SkillFilesBundle,
+    docs_by_relpath: Mapping[PurePosixPath, MarkdownDocument],
+) -> StoredSkill:
+    frontmatter = SkillFrontmatter.from_raw_yaml(bundle.skill.frontmatter)
+    metadata = frontmatter.x_personal_mcp
+    merged_entries = _discover_reference_entries(bundle)
+    merged_entries.update(dict(metadata.references))
+
+    references: dict[str, StoredSkillReference] = {}
+    for ref_id, entry in sorted(merged_entries.items()):
+        ref_relpath = PurePosixPath("skills").joinpath(bundle.slug).joinpath(entry.path)
+        if ref_relpath not in docs_by_relpath:
+            raise KeyError(f"reference document not found for '{metadata.id}:{ref_id}' at {ref_relpath.as_posix()}")
+        ref_doc = docs_by_relpath[ref_relpath]
+        references[ref_id] = StoredSkillReference(
+            ref_id=ref_id,
+            relpath=ref_relpath,
+            content=ref_doc.content,
+            entry=entry,
+        )
+
+    return StoredSkill.model_validate(
+        {
+            "skill_id": metadata.id,
+            "relpath": bundle.skill.relpath,
+            "content": bundle.skill.content,
+            "frontmatter": frontmatter,
+            "references": references,
+        }
+    )

src/personal_mcp/registry/load.py

@@ -4,129 +4,67 @@ import importlib
 from collections import defaultdict
 from pathlib import Path
 from pathlib import PurePosixPath
-from typing import Any
-
-import yaml
 
 from personal_mcp.registry.ingest.document import MarkdownDocument
 from personal_mcp.registry.ingest.prompt import PromptFilesBundle
 from personal_mcp.registry.ingest.skill import SkillFilesBundle
-from personal_mcp.registry.models.common import ReferenceEntry
+from personal_mcp.registry.ingest.skill import build_stored_skill
 from personal_mcp.registry.models.common import _normalize_docs_path
+from personal_mcp.registry.models.prompt import StoredPrompt
 from personal_mcp.registry.models.registry import DocsRegistry
 from personal_mcp.registry.models.registry import PromptRecord
 from personal_mcp.registry.models.registry import PromptSummaryRecord
 from personal_mcp.registry.models.registry import ReferenceRecord
 from personal_mcp.registry.models.registry import SkillRecord
 from personal_mcp.registry.models.registry import SkillSummaryRecord
-from personal_mcp.skills.document_loader import _reference_id_from_filename
-from personal_mcp.skills.document_loader import _title_from_reference_filename
-from personal_mcp.skills.document_loader import _validate_prompt_frontmatter
-from personal_mcp.skills.document_loader import _validate_skill_frontmatter
-
-
-def _parse_frontmatter(raw_frontmatter: str | None, *, path: PurePosixPath) -> dict[str, Any]:
-    if raw_frontmatter is None:
-        raise ValueError(f"missing YAML frontmatter: {path.as_posix()}")
-    parsed = yaml.safe_load(raw_frontmatter)
-    if not isinstance(parsed, dict):
-        raise TypeError(f"frontmatter must parse to an object: {path.as_posix()}")
-    return parsed
-
-
-def _discover_reference_entries(bundle: SkillFilesBundle) -> dict[str, ReferenceEntry]:
-    discovered: dict[str, ReferenceEntry] = {}
-    for reference_doc in bundle.references:
-        ref_id = _reference_id_from_filename(reference_doc.relpath.name)
-        if ref_id is None:
-            continue
-        discovered[ref_id] = ReferenceEntry(
-            path=PurePosixPath("references").joinpath(reference_doc.relpath.name).as_posix(),
-            title=_title_from_reference_filename(reference_doc.relpath.name),
-        )
-    return discovered
 
 
 def _build_skill_record(
     *, bundle: SkillFilesBundle, docs_by_relpath: dict[PurePosixPath, MarkdownDocument]
 ) -> SkillRecord:
-    frontmatter_raw = _parse_frontmatter(bundle.skill.frontmatter, path=bundle.skill.relpath)
-    frontmatter = _validate_skill_frontmatter(frontmatter_raw, skill_dir_name=bundle.slug)
-    metadata = frontmatter.x_personal_mcp
-
-    merged_entries = _discover_reference_entries(bundle)
-    merged_entries.update(dict(metadata.references))
-
+    stored = build_stored_skill(bundle=bundle, docs_by_relpath=docs_by_relpath)
+    metadata = stored.frontmatter.x_personal_mcp
     references: dict[str, ReferenceRecord] = {}
-    for ref_id, entry in sorted(merged_entries.items()):
-        ref_relpath = PurePosixPath("skills").joinpath(bundle.slug).joinpath(entry.path)
-        if ref_relpath not in docs_by_relpath:
-            raise KeyError(f"reference document not found for '{metadata.id}:{ref_id}' at {ref_relpath.as_posix()}")
-        ref_doc = docs_by_relpath[ref_relpath]
+    for ref_id, ref in sorted(stored.references.items()):
         references[ref_id] = ReferenceRecord(
             ref_id=ref_id,
             uri=f"resource://skills/{metadata.id}/references/{ref_id}",
-            relpath=ref_relpath.as_posix(),
-            mime_type=entry.mime_type,
-            title=entry.title,
-            content=ref_doc.content,
+            relpath=ref.relpath.as_posix(),
+            mime_type=ref.entry.mime_type,
+            title=ref.entry.title,
+            content=ref.content,
         )
 
     return SkillRecord(
         skill_id=metadata.id,
-        name=frontmatter.name,
-        description=frontmatter.description,
+        name=stored.frontmatter.name,
+        description=stored.frontmatter.description,
         version=metadata.version,
         tags=tuple(metadata.tags),
         capabilities=tuple(metadata.capabilities),
         depends_on=tuple(metadata.depends_on),
         document_uri=f"resource://skills/{metadata.id}/document",
-        document_relpath=bundle.skill.relpath.as_posix(),
-        document_content=bundle.skill.content,
+        document_relpath=stored.relpath.as_posix(),
+        document_content=stored.content,
         references=references,
     )
 
 
 def _build_prompt_record(*, bundle: PromptFilesBundle) -> PromptRecord:
-    frontmatter_raw = _parse_frontmatter(bundle.prompt.frontmatter, path=bundle.prompt.relpath)
-    frontmatter = _validate_prompt_frontmatter(frontmatter_raw, prompt_dir_name=bundle.slug)
-    metadata = frontmatter.x_personal_mcp
+    stored = StoredPrompt.from_bundle(bundle)
+    metadata = stored.frontmatter.x_personal_mcp
 
     return PromptRecord(
         prompt_id=metadata.id,
-        name=frontmatter.name,
-        description=frontmatter.description,
+        name=stored.frontmatter.name,
+        description=stored.frontmatter.description,
         version=metadata.version,
         tags=tuple(metadata.tags),
         capabilities=tuple(metadata.capabilities),
         arguments=dict(metadata.arguments),
         document_uri=f"resource://prompts/{metadata.id}/document",
-        document_relpath=bundle.prompt.relpath.as_posix(),
-        document_content=bundle.prompt.content,
-    )
-
-
-def _to_summary(skill: SkillRecord) -> SkillSummaryRecord:
-    return SkillSummaryRecord(
-        skill_id=skill.skill_id,
-        name=skill.name,
-        description=skill.description,
-        tags=skill.tags,
-        capabilities=skill.capabilities,
-        document_uri=skill.document_uri,
-        version=skill.version,
-    )
-
-
-def _to_prompt_summary(prompt: PromptRecord) -> PromptSummaryRecord:
-    return PromptSummaryRecord(
-        prompt_id=prompt.prompt_id,
-        name=prompt.name,
-        description=prompt.description,
-        tags=prompt.tags,
-        capabilities=prompt.capabilities,
-        document_uri=prompt.document_uri,
-        version=prompt.version,
+        document_relpath=stored.relpath.as_posix(),
+        document_content=stored.content,
     )
 
 
@@ -215,7 +153,9 @@ def load_docs_registry(*, package_anchor: str, docs_root: str = "docs") -> DocsR
     return DocsRegistry(
         skills_by_id=skills_by_id,
         skills_in_load_order=skills_in_order_tuple,
-        skills_summary_in_load_order=tuple(_to_summary(skills_by_id[skill_id]) for skill_id in skills_in_order_tuple),
+        skills_summary_in_load_order=tuple(
+            SkillSummaryRecord.from_record(skills_by_id[skill_id]) for skill_id in skills_in_order_tuple
+        ),
         docs_markdown_by_path=docs_markdown_by_path,
         docs_markdown_path_index=tuple(sorted(docs_markdown_by_path)),
         tag_to_skill_ids=_build_tag_index_skills(skills_in_order_tuple, skills_by_id),
@@ -223,7 +163,7 @@ def load_docs_registry(*, package_anchor: str, docs_root: str = "docs") -> DocsR
         prompts_by_id=prompts_by_id,
         prompts_in_load_order=prompts_in_order_tuple,
         prompts_summary_in_load_order=tuple(
-            _to_prompt_summary(prompts_by_id[prompt_id]) for prompt_id in prompts_in_order_tuple
+            PromptSummaryRecord.from_record(prompts_by_id[prompt_id]) for prompt_id in prompts_in_order_tuple
         ),
         tag_to_prompt_ids=_build_tag_index_prompts(prompts_in_order_tuple, prompts_by_id),
     )

src/personal_mcp/registry/models/prompt.py

@@ -1,18 +1,23 @@
 import re
 from collections.abc import Mapping
 from pathlib import PurePosixPath
+from typing import TYPE_CHECKING
 from typing import Any
 from typing import Literal
 
 import yaml
 from pydantic import Field
 from pydantic import field_validator
+from pydantic import model_validator
 
 from .common import SEMVER_RE
 from .common import SKILL_ID_RE
 from .common import StrictFrozenModel
 from .common import frozen_mapping
 
+if TYPE_CHECKING:
+    from personal_mcp.registry.ingest.prompt import PromptFilesBundle
+
 type PromptArgumentType = Literal[
     "string",
     "number",
@@ -101,6 +106,18 @@ class PromptFrontmatter(StrictFrozenModel):
             raise ValueError("name must not contain reserved words anthropic or claude")
         return value
 
+    @classmethod
+    def from_raw_yaml(cls, raw: str | None) -> "PromptFrontmatter":
+        if raw is None:
+            raise ValueError("missing YAML frontmatter")
+        try:
+            data = yaml.safe_load(raw)
+        except yaml.YAMLError as e:
+            raise ValueError(f"invalid YAML in frontmatter: {e}") from e
+        if not isinstance(data, dict):
+            raise TypeError("frontmatter must parse to an object")
+        return cls.model_validate(data)
+
 
 class StoredPrompt(StrictFrozenModel):
     """Normalized prompt document content with path and frontmatter for storage in the registry."""
@@ -108,15 +125,43 @@ class StoredPrompt(StrictFrozenModel):
     prompt_id: str
     relpath: PurePosixPath
     content: str
-    frontmatter: PromptFrontmatter | None = None
+    frontmatter: PromptFrontmatter
 
     @field_validator("frontmatter", mode="before")
     @classmethod
-    def parse_frontmatter_yaml(cls, value: str | None):
-        if value is None:
-            return None
-        try:
-            data = yaml.safe_load(value)
-        except yaml.YAMLError as e:
-            raise ValueError(f"invalid YAML in frontmatter: {e}") from e
-        return PromptFrontmatter.model_validate(data)
+    def parse_frontmatter_yaml(cls, value: PromptFrontmatter | str | None) -> PromptFrontmatter:
+        if isinstance(value, PromptFrontmatter):
+            return value
+        return PromptFrontmatter.from_raw_yaml(value)
+
+    @model_validator(mode="after")
+    def validate_contract(self) -> "StoredPrompt":
+        parts = self.relpath.parts
+        if len(parts) < 3 or parts[0] != "prompts":
+            raise ValueError("prompt relpath must be under prompts/<slug>/")
+
+        prompt_dir_name = parts[1]
+        if self.frontmatter.name != prompt_dir_name:
+            raise ValueError("frontmatter name must exactly match prompt directory name")
+        if self.frontmatter.x_personal_mcp.id != self.frontmatter.name:
+            raise ValueError("x-personal-mcp.id must exactly match name")
+
+        expected_capability = f"resource://prompts/{self.frontmatter.name}/document"
+        if expected_capability not in self.frontmatter.x_personal_mcp.capabilities:
+            raise ValueError(f"capabilities must include {expected_capability}")
+
+        if self.prompt_id != self.frontmatter.x_personal_mcp.id:
+            raise ValueError("prompt_id must exactly match x-personal-mcp.id")
+        return self
+
+    @classmethod
+    def from_bundle(cls, bundle: "PromptFilesBundle") -> "StoredPrompt":
+        frontmatter = PromptFrontmatter.from_raw_yaml(bundle.prompt.frontmatter)
+        return cls.model_validate(
+            {
+                "prompt_id": frontmatter.x_personal_mcp.id,
+                "relpath": bundle.prompt.relpath,
+                "content": bundle.prompt.content,
+                "frontmatter": frontmatter,
+            }
+        )

src/personal_mcp/registry/models/registry.py

@@ -51,6 +51,18 @@ class SkillSummaryRecord(StrictFrozenModel):
     document_uri: str
     version: str
 
+    @classmethod
+    def from_record(cls, record: SkillRecord) -> "SkillSummaryRecord":
+        return cls(
+            skill_id=record.skill_id,
+            name=record.name,
+            description=record.description,
+            tags=record.tags,
+            capabilities=record.capabilities,
+            document_uri=record.document_uri,
+            version=record.version,
+        )
+
 
 class PromptRecord(StrictFrozenModel):
     """Registry record containing a fully resolved prompt document."""
@@ -83,6 +95,103 @@ class PromptSummaryRecord(StrictFrozenModel):
     document_uri: str
     version: str
 
+    @classmethod
+    def from_record(cls, record: PromptRecord) -> "PromptSummaryRecord":
+        return cls(
+            prompt_id=record.prompt_id,
+            name=record.name,
+            description=record.description,
+            tags=record.tags,
+            capabilities=record.capabilities,
+            document_uri=record.document_uri,
+            version=record.version,
+        )
+
+
+class SkillPatternPayload(StrictFrozenModel):
+    """Catalog payload model for skill pattern search results."""
+
+    id: str
+    name: str
+    version: str
+    description: str
+    tags: list[str]
+    depends_on: list[str]
+    capabilities: list[str]
+    resources: list[str]
+
+    @classmethod
+    def from_record(cls, record: SkillRecord) -> "SkillPatternPayload":
+        return cls(
+            id=record.skill_id,
+            name=record.name,
+            version=record.version,
+            description=record.description,
+            tags=list(record.tags),
+            depends_on=list(record.depends_on),
+            capabilities=list(record.capabilities),
+            resources=list(record.capabilities),
+        )
+
+
+class SkillSummaryPayload(StrictFrozenModel):
+    """Catalog payload model for skill index summaries."""
+
+    id: str
+    name: str
+    description: str
+    tags: list[str]
+    capabilities: list[str]
+    version: str
+    document_uri: str
+    detail_uri: str
+    resources: dict[str, str | list[str]]
+
+    @classmethod
+    def from_record(cls, record: SkillRecord) -> "SkillSummaryPayload":
+        return cls(
+            id=record.skill_id,
+            name=record.name,
+            description=record.description,
+            tags=list(record.tags),
+            capabilities=list(record.capabilities),
+            version=record.version,
+            document_uri=record.document_uri,
+            detail_uri=f"resource://catalog/skills/{record.skill_id}",
+            resources={
+                "document": record.document_uri,
+                "references": [
+                    f"resource://skills/{record.skill_id}/references/{ref_id}" for ref_id in sorted(record.references)
+                ],
+            },
+        )
+
+
+class PromptSummaryPayload(StrictFrozenModel):
+    """Catalog payload model for prompt index summaries."""
+
+    id: str
+    name: str
+    description: str
+    tags: list[str]
+    capabilities: list[str]
+    version: str
+    document_uri: str
+    detail_uri: str
+
+    @classmethod
+    def from_record(cls, record: PromptRecord) -> "PromptSummaryPayload":
+        return cls(
+            id=record.prompt_id,
+            name=record.name,
+            description=record.description,
+            tags=list(record.tags),
+            capabilities=list(record.capabilities),
+            version=record.version,
+            document_uri=record.document_uri,
+            detail_uri=f"resource://catalog/prompts/{record.prompt_id}",
+        )
+
 
 class DocsRegistry(StrictFrozenModel):
     """In-memory index of loaded skills, prompts, and docs content."""

src/personal_mcp/registry/models/skill.py

@@ -4,6 +4,7 @@ from pathlib import PurePosixPath
 import yaml
 from pydantic import Field
 from pydantic import field_validator
+from pydantic import model_validator
 
 from .common import SEMVER_RE
 from .common import SKILL_ID_RE
@@ -107,6 +108,18 @@ class SkillFrontmatter(StrictFrozenModel):
             raise ValueError("name must not contain reserved words anthropic or claude")
         return value
 
+    @classmethod
+    def from_raw_yaml(cls, raw: str | None) -> "SkillFrontmatter":
+        if raw is None:
+            raise ValueError("missing YAML frontmatter")
+        try:
+            data = yaml.safe_load(raw)
+        except yaml.YAMLError as e:
+            raise ValueError(f"invalid YAML in frontmatter: {e}") from e
+        if not isinstance(data, dict):
+            raise TypeError("frontmatter must parse to an object")
+        return cls.model_validate(data)
+
 
 class StoredSkillReference(StrictFrozenModel):
     """Structured representation of a skill reference markdown document."""
@@ -124,15 +137,40 @@ class StoredSkill(StrictFrozenModel):
     relpath: PurePosixPath
     content: str
     frontmatter: SkillFrontmatter
-    references: dict[str, StoredSkillReference] = Field(default_factory=dict)
+    references: Mapping[str, StoredSkillReference] = Field(default_factory=frozen_mapping)
 
     @field_validator("frontmatter", mode="before")
     @classmethod
-    def parse_frontmatter_yaml(cls, value: str | None):
-        if value is None:
-            return None
-        try:
-            data = yaml.safe_load(value)
-        except yaml.YAMLError as e:
-            raise ValueError(f"invalid YAML in frontmatter: {e}") from e
-        return SkillFrontmatter.model_validate(data)
+    def parse_frontmatter_yaml(cls, value: SkillFrontmatter | str | None) -> SkillFrontmatter:
+        if isinstance(value, SkillFrontmatter):
+            return value
+        return SkillFrontmatter.from_raw_yaml(value)
+
+    @field_validator("references", mode="before")
+    @classmethod
+    def freeze_references(cls, value: Mapping[str, StoredSkillReference] | None) -> Mapping[str, StoredSkillReference]:
+        return frozen_mapping(value)
+
+    @model_validator(mode="after")
+    def validate_contract(self) -> "StoredSkill":
+        parts = self.relpath.parts
+        if len(parts) < 3 or parts[0] != "skills":
+            raise ValueError("skill relpath must be under skills/<slug>/")
+
+        skill_dir_name = parts[1]
+        if self.frontmatter.name != skill_dir_name:
+            raise ValueError("frontmatter name must exactly match skill directory name")
+        if self.frontmatter.x_personal_mcp.id != self.frontmatter.name:
+            raise ValueError("x-personal-mcp.id must exactly match name")
+
+        expected_capability = f"resource://skills/{self.frontmatter.name}/document"
+        if expected_capability not in self.frontmatter.x_personal_mcp.capabilities:
+            raise ValueError(f"capabilities must include {expected_capability}")
+
+        if self.skill_id != self.frontmatter.x_personal_mcp.id:
+            raise ValueError("skill_id must exactly match x-personal-mcp.id")
+
+        for ref_id, ref in self.references.items():
+            if ref.ref_id != ref_id:
+                raise ValueError(f"reference key must match ref_id: {ref_id}")
+        return self