القائمة
Execute Rust tests (unit, integration, doc). Use cargo nextest for fast parallel execution.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | test-runner |
| description | Execute Rust tests (unit, integration, doc). Use cargo nextest for fast parallel execution. |
Execute and manage Rust tests for the self-learning memory project.
# Unit tests (fast, <30s)
cargo nextest run --lib
# Integration tests
cargo nextest run --test '*'
# Full suite
cargo nextest run --all
cargo test --doc # doctests (nextest unsupported)
# Quality gates (coverage threshold 90%)
./scripts/quality-gates.sh
| Category | Command | Scope |
|---|---|---|
| Unit | cargo nextest run --lib | Individual functions |
| Integration | cargo nextest run --test '*' | End-to-end workflows |
| Doc | cargo test --doc | Documentation examples |
| Mutation | cargo mutants -p do-memory-core | Test effectiveness |
test_<function>_<scenario>_<expected>#[tokio::test]
async fn test_episode() { let result = async_fn().await; }
#[tokio::test(start_paused = true)]
async fn test_timeout() { /* paused clock */ }
#[tokio::test(flavor = "multi_thread", worker_threads = 4)]
async fn test_concurrent() { /* parallel ops */ }
| Bad | Good |
|---|---|
std::thread::sleep() | tokio::time::sleep().await |
Missing .await | Always await async |
| Issue | Fix |
|---|---|
| Race conditions | cargo test -- --test-threads=1 |
| redb lock errors | Separate DB per test |
| DB connection refused | Check TURSO_URL/TURSO_TOKEN |
cargo llvm-cov --html --output-dir coverage
Related skills: test-patterns for test design, test-optimization for performance-focused test work, and test-fix for failing-suite diagnosis.
Checkpoint episodes and create handoff packs for multi-agent session continuity
Configure, test, benchmark, and manage embedding providers for semantic search and vector operations
Create and traverse typed relationships between episodes for dependency tracking and knowledge graphs
Manage episode tags for organization, filtering, and retrieval across the memory system
Generate task playbooks and explain patterns using learned strategies from episodic memory
Record and analyze recommendation sessions and feedback to drive the self-learning loop