ooai_skills

ooai_skills package.

Purpose:

A tiny MinIO/S3-backed registry for Agent Skills (folders containing SKILL.md), plus a local CLI that can pull skills into Deep Agents-compatible directories and browse them.

Design:

• Skill discovery is file-based: any directory containing SKILL.md is a skill.

• Skills are stored in MinIO under stable prefixes and indexed via JSON.

• Pulling builds:

  • ~/.agents/skillpacks: cached content

  • ~/.agents/skills: flattened view (symlinks by default)

Examples

::

>>> from ooai_skills.settings import OoaiSkillsSettings
>>> OoaiSkillsSettings().bucket
'agent-skills'

Submodules

• ooai_skills.cli
• ooai_skills.curated
• ooai_skills.data
• ooai_skills.direct
• ooai_skills.discover
• ooai_skills.frontmatter
• ooai_skills.git
• ooai_skills.hashing
• ooai_skills.ingest_zip
• ooai_skills.init
• ooai_skills.local
• ooai_skills.mcp_server
• ooai_skills.mirror
• ooai_skills.models
• ooai_skills.push_local
• ooai_skills.remote_tools
• ooai_skills.s3
• ooai_skills.settings
• ooai_skills.sources
• ooai_skills.sync

Classes

CuratedRepo	!!! abstract "Usage Documentation"
LintIssue	!!! abstract "Usage Documentation"
RepoSource	!!! abstract "Usage Documentation"
SkillIndex	!!! abstract "Usage Documentation"
SkillRecord	!!! abstract "Usage Documentation"
SourceIndex	!!! abstract "Usage Documentation"
OoaiSkillsSettings	Configuration for MinIO + local cache.

Package Contents

class ooai_skills.CuratedRepo(/, **data)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”

[Models](../concepts/models.md)

A base class for creating Pydantic models.

Parameters:

data (Any)

__class_vars__

The names of the class variables defined on the model.

__private_attributes__

Metadata about the private attributes of the model.

__signature__

The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__

Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__

The core schema of the model.

__pydantic_custom_init__

Whether the model has a custom __init__ function.

__pydantic_decorators__

Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__

A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__pydantic_parent_namespace__

Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__

The name of the post-init method for the model, if defined.

__pydantic_root_model__

Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__

The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__

The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__

A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__

A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__

A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__

The names of fields explicitly set during instantiation.

__pydantic_private__

Values of private attributes set on the model instance.

repo: str

category: str

kind: str

description: str = ''

class ooai_skills.LintIssue(/, **data)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”

[Models](../concepts/models.md)

A base class for creating Pydantic models.

Parameters:

data (Any)

__class_vars__

The names of the class variables defined on the model.

__private_attributes__

Metadata about the private attributes of the model.

__signature__

The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__

Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__

The core schema of the model.

__pydantic_custom_init__

Whether the model has a custom __init__ function.

__pydantic_decorators__

Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__

A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__pydantic_parent_namespace__

Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__

The name of the post-init method for the model, if defined.

__pydantic_root_model__

Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__

The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__

The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__

A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__

A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__

A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__

The names of fields explicitly set during instantiation.

__pydantic_private__

Values of private attributes set on the model instance.

skill_id: str

severity: Literal['error', 'warning']

code: str

message: str

path: str | None = None

class ooai_skills.RepoSource(/, **data)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”

[Models](../concepts/models.md)

A base class for creating Pydantic models.

Parameters:

data (Any)

__class_vars__

The names of the class variables defined on the model.

__private_attributes__

Metadata about the private attributes of the model.

__signature__

The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__

Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__

The core schema of the model.

__pydantic_custom_init__

Whether the model has a custom __init__ function.

__pydantic_decorators__

Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__

A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__pydantic_parent_namespace__

Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__

The name of the post-init method for the model, if defined.

__pydantic_root_model__

Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__

The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__

The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__

A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__

A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__

A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__

The names of fields explicitly set during instantiation.

__pydantic_private__

Values of private attributes set on the model instance.

repo: str = None

ref: str = 'main'

include_globs: list[str] = None

exclude_globs: list[str] = None

class ooai_skills.SkillIndex(/, **data)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”

[Models](../concepts/models.md)

A base class for creating Pydantic models.

Parameters:

data (Any)

__class_vars__

The names of the class variables defined on the model.

__private_attributes__

Metadata about the private attributes of the model.

__signature__

The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__

Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__

The core schema of the model.

__pydantic_custom_init__

Whether the model has a custom __init__ function.

__pydantic_decorators__

Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__

A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__pydantic_parent_namespace__

Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__

The name of the post-init method for the model, if defined.

__pydantic_root_model__

Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__

The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__

The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__

A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__

A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__

A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__

The names of fields explicitly set during instantiation.

__pydantic_private__

Values of private attributes set on the model instance.

generated_at: str = None

skills: list[SkillRecord] = None

class ooai_skills.SkillRecord(/, **data)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”

[Models](../concepts/models.md)

A base class for creating Pydantic models.

Parameters:

data (Any)

__class_vars__

The names of the class variables defined on the model.

__private_attributes__

Metadata about the private attributes of the model.

__signature__

The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__

Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__

The core schema of the model.

__pydantic_custom_init__

Whether the model has a custom __init__ function.

__pydantic_decorators__

Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__

A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__pydantic_parent_namespace__

Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__

The name of the post-init method for the model, if defined.

__pydantic_root_model__

Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__

The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__

The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__

A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__

A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__

A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__

The names of fields explicitly set during instantiation.

__pydantic_private__

Values of private attributes set on the model instance.

skill_id: str

name: str = None

description: str = ''

source_repo: str

source_commit: str

source_path: str

content_hash: str

s3_prefix: str

frontmatter: dict[str, Any] = None

discovered_at: str = None

class ooai_skills.SourceIndex(/, **data)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”

[Models](../concepts/models.md)

A base class for creating Pydantic models.

Parameters:

data (Any)

__class_vars__

The names of the class variables defined on the model.

__private_attributes__

Metadata about the private attributes of the model.

__signature__

The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__

Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__

The core schema of the model.

__pydantic_custom_init__

Whether the model has a custom __init__ function.

__pydantic_decorators__

Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__

A dictionary containing metadata about generic Pydantic models. The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__pydantic_parent_namespace__

Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__

The name of the post-init method for the model, if defined.

__pydantic_root_model__

Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__

The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__

The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__

A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__

A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__

A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__

The names of fields explicitly set during instantiation.

__pydantic_private__

Values of private attributes set on the model instance.

generated_at: str = None

sources: dict[str, str] = None

meta: dict[str, Any] = None

class ooai_skills.OoaiSkillsSettings(_case_sensitive=None, _nested_model_default_partial_update=None, _env_prefix=None, _env_prefix_target=None, _env_file=ENV_FILE_SENTINEL, _env_file_encoding=None, _env_ignore_empty=None, _env_nested_delimiter=None, _env_nested_max_split=None, _env_parse_none_str=None, _env_parse_enums=None, _cli_prog_name=None, _cli_parse_args=None, _cli_settings_source=None, _cli_parse_none_str=None, _cli_hide_none_type=None, _cli_avoid_json=None, _cli_enforce_required=None, _cli_use_class_docs_for_groups=None, _cli_exit_on_error=None, _cli_prefix=None, _cli_flag_prefix_char=None, _cli_implicit_flags=None, _cli_ignore_unknown_args=None, _cli_kebab_case=None, _cli_shortcuts=None, _secrets_dir=None, _build_sources=None, **values)

Bases: pydantic_settings.BaseSettings

Configuration for MinIO + local cache.

Works out of the box with the ooai docker stack: reads the existing MINIO_ROOT_USER / MINIO_ROOT_PASSWORD / MINIO_PORT env vars that are already exported from the ooai .env file. Additional OOAI_SKILLS_* or legacy SKILL_MIRROR_* variables always take precedence.

Parameters:

• _case_sensitive (bool | None)

• _nested_model_default_partial_update (bool | None)

• _env_prefix (str | None)

• _env_prefix_target (pydantic_settings.sources.EnvPrefixTarget | None)

• _env_file (pydantic_settings.sources.DotenvType | None)

• _env_file_encoding (str | None)

• _env_ignore_empty (bool | None)

• _env_nested_delimiter (str | None)

• _env_nested_max_split (int | None)

• _env_parse_none_str (str | None)

• _env_parse_enums (bool | None)

• _cli_prog_name (str | None)

• _cli_parse_args (bool | list[str] | tuple[str, Ellipsis] | None)

• _cli_settings_source (pydantic_settings.sources.CliSettingsSource[Any] | None)

• _cli_parse_none_str (str | None)

• _cli_hide_none_type (bool | None)

• _cli_avoid_json (bool | None)

• _cli_enforce_required (bool | None)

• _cli_use_class_docs_for_groups (bool | None)

• _cli_exit_on_error (bool | None)

• _cli_prefix (str | None)

• _cli_flag_prefix_char (str | None)

• _cli_implicit_flags (bool | Literal['dual', 'toggle'] | None)

• _cli_ignore_unknown_args (bool | None)

• _cli_kebab_case (bool | Literal['all', 'no_enums'] | None)

• _cli_shortcuts (collections.abc.Mapping[str, str | list[str]] | None)

• _secrets_dir (pydantic_settings.sources.PathType | None)

• _build_sources (tuple[tuple[pydantic_settings.sources.PydanticBaseSettingsSource, Ellipsis], dict[str, Any]] | None)

• values (Any)

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

s3_endpoint: Annotated[str, Field(min_length=1, validation_alias=AliasChoices('OOAI_SKILLS_S3_ENDPOINT', 'SKILL_MIRROR_S3_ENDPOINT'))] = None

s3_access_key: Annotated[str, Field(min_length=1, validation_alias=AliasChoices('OOAI_SKILLS_S3_ACCESS_KEY', 'SKILL_MIRROR_S3_ACCESS_KEY', 'MINIO_ROOT_USER'))] = 'minioadmin'

s3_secret_key: Annotated[str, Field(min_length=1, validation_alias=AliasChoices('OOAI_SKILLS_S3_SECRET_KEY', 'SKILL_MIRROR_S3_SECRET_KEY', 'MINIO_ROOT_PASSWORD'))] = 'minioadmin'

s3_secure: bool = None

s3_region: str = None

bucket: Annotated[str, Field(min_length=1, validation_alias=AliasChoices('OOAI_SKILLS_BUCKET', 'SKILL_MIRROR_BUCKET'))] = 'agent-skills'

local_packs_dir: pathlib.Path = None

local_skills_dir: pathlib.Path = None

work_dir: pathlib.Path = None

extra_targets: str = None

property extra_targets_list: list[str]

Parse the comma-separated extra_targets string into a list.

Return type:

list[str]

property resolved_extra_targets: list[pathlib.Path]

Return extra target paths with ~ expanded.

Return type:

list[pathlib.Path]