skilllifecycle

type Candidate struct {
	Draft     learning.SkillDraftInput
	Inventory []learning.SkillInventoryItem
	Mode      learning.Mode
	Automatic bool
}

type Pipeline struct {
	Repository learning.SkillRepository
	Validator  learning.SkillValidator
	// Evaluator is trusted admission-control code supplied by the host. It must
	// evaluate host-issued immutable fixture IDs, keep baseline and treatment
	// independent, expose no tools/shell/network, fence candidate content, and
	// enforce deterministic time/token/output limits. Nil deliberately records
	// ABSTAIN. A returned error is durably marked ERROR and can never activate;
	// the engine deliberately provides no production keyword or model judge.
	Evaluator learning.SkillEvaluator
	// ActivationPolicy is the assurance required for Auto activation. The zero
	// value resolves to evaluated for source compatibility with existing embedders.
	ActivationPolicy learning.SkillActivationPolicy
	Publisher        Publisher
	Now              func() time.Time
}

type Publisher interface{ Publish(context.Context) error }

type Quarantiner interface{ Quarantine(string) }

type Receipt struct {
	SkillID          learning.SkillID
	Name             string
	Version          learning.VersionID
	State            learning.SkillState
	Verdict          learning.EvaluationVerdict
	Evidence         int
	FixtureIDs       []string
	Baseline         string
	Treatment        string
	Inspect          bool
	Undo             bool
	Published        bool
	PublicationError string
}