Crate skm_learn 

skm-learn

Evaluation, metrics, and optimization for Agent Skills.

This crate provides:

• TriggerTestHarness for testing skill selection accuracy
• SelectionMetrics for real-time performance tracking
• DescriptionOptimizer for LLM-driven description improvement
• UsageAnalytics for long-term usage pattern analysis

Structs

DescriptionOptimizer

LLM-driven description optimizer.

InMemoryAnalyticsStore

In-memory analytics store (for testing/development).

MetricsSummary

Summary of metrics.

OptimizationIteration

Result of a single optimization iteration.

OptimizationResult

Result of the full optimization process.

OptimizerConfig

Configuration for the optimizer.

SelectionEvent

A recorded selection event.

SelectionMetrics

Real-time metrics collector.

SkillTestReport

Report for a single skill across test runs.

SqliteAnalyticsStore

SQLite-based analytics store.

TestCase

A single test case.

TestCaseResult

Result of running a single test case.

TestReport

Full test report.

TestSuite

A collection of test cases.

TriggerTestHarness

Test harness for running trigger test suites.

UsageAnalytics

High-level usage analytics interface.

Enums

Feedback

User feedback on a selection.

LearnError

Errors from learning operations.

TestExpectation

What skill(s) are expected for a test case.

Traits

AnalyticsStore

Trait for analytics storage backends.