feat(skills): enhance skills system with matching and evaluation

Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent)

Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
This commit is contained in:
2026-04-08 00:11:34 +08:00
parent 4ef7549efe
commit 72a60c698a
10 changed files with 374 additions and 16 deletions

View File

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from __future__ import annotations
from datetime import datetime, timezone
from typing import Any, Literal
from pydantic import BaseModel, Field
SkillStatus = Literal["candidate", "shadow", "active", "deprecated", "retired"]
SkillInjectionMode = Literal["metadata_only", "summary", "full"]
class SkillShortlistEntry(BaseModel):
skill_name: str
source: str = "runtime"
source_id: str | None = None
status: SkillStatus = "active"
scope: list[str] = Field(default_factory=list)
effectiveness: float | None = None
score: float = 0.0
rationale: str | None = None
summary: str | None = None
matched_terms: list[str] = Field(default_factory=list)
injection_mode: SkillInjectionMode = "metadata_only"
metadata: dict[str, Any] = Field(default_factory=dict)
class SkillActivationRecord(BaseModel):
skill_name: str
source: str = "runtime"
source_id: str | None = None
status: SkillStatus = "active"
injection_mode: SkillInjectionMode = "metadata_only"
matched_terms: list[str] = Field(default_factory=list)
rationale: str | None = None
activated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
outcome: str | None = None
metadata: dict[str, Any] = Field(default_factory=dict)