菜单
Run lightweight performance/load tests (QPS/latency) against project HTTP endpoints using hey, track regressions, and suggest optimizations. Use when the user asks to benchmark, load test, or measure performance after changes.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
Generate and complete reusable security test documents under docs/security/ based on the current project implementation and/or a confirmed plan. Use when a developer asks to complete security test docs, add missing security scenarios, or establish a security test baseline for the project.
Generate and maintain reusable UI/UX test documents under docs/uiux/ based on the current project UI implementation and the design-system constraints. Use when a developer asks to complete UI/UX test docs, add missing UI/UX scenarios, align UI constraints, or wants UI consistency/a11y/responsive regression checks during development.
Guide for working with the Agent Orchestrator — a CLI tool for AI-native SDLC automation. Use when writing or editing YAML manifests (Workspace, Agent, Workflow, StepTemplate, ExecutionProfile, SecretStore, EnvStore, Trigger, CRD), running orchestrator CLI commands, designing workflow step pipelines, writing CEL prehook/finalize expressions, configuring triggers (cron/event-driven task creation), or configuring self-bootstrap workflows. Triggers: any mention of orchestrator config, YAML manifests with "orchestrator.dev/v2", workflow steps, prehooks, finalize rules, task create/start/pause, orchestrator run, step filtering, direct assembly, agent capabilities, StepTemplate prompts, execution profiles, sandbox configuration, secret management, or trigger/cron scheduling.
Govern feature request (FR) documents through their full lifecycle — from planning to implementation to closure. Use when the user asks to govern/治理 a feature request, close an FR, check FR status, or says "治理FR", "/fr-governance". Scans docs/feature_request/ for open FR docs, plans implementation, executes governance, and self-checks closure.
Generate or update QA/security/UIUX test documentation after confirmed feature implementation plans or completed refactors. Use this skill AFTER plan approval or code completion to: (1) add new QA test docs for new behavior, (2) generate design docs, and (3) run repo-wide cross-doc impact analysis (docs/qa/, docs/security/, docs/uiux/, docs/guide/ and its translations, docs/design_doc/, docs/showcases/, root Markdown including CHANGELOG.md, and .claude/skills/) to update stale steps, expectations, and assertions. Triggers when users ask to create QA docs, update test docs after implementation, or sync QA/security/UIUX docs after behavior changes.
Govern and periodically remediate QA documentation quality across docs/qa, docs/security, and docs/uiux. Use when users ask to audit QA docs, run recurring documentation checks, fix doc drift after refactors, enforce scenario limits/checklists/UI entry visibility, or synchronize README/manifest/changelog consistency.
基于 SOC 职业分类
| name | performance-testing |
| description | Run lightweight performance/load tests (QPS/latency) against project HTTP endpoints using hey, track regressions, and suggest optimizations. Use when the user asks to benchmark, load test, or measure performance after changes. |
Use hey to measure throughput and latency for key endpoints. This skill is project-agnostic and works best when the project exposes health/ready endpoints and one or more critical API endpoints.
hey installed (or installable)which hey || brew install hey
Start the environment (project-bootstrap default):
docker compose -f docker/docker-compose.yml up -d --build
If the backend is Rust and you are running it outside Docker, run in release mode:
cd core
cargo run --release
If the project has a scripts/benchmark.sh, use it:
# Quick test (lower concurrency range)
./scripts/benchmark.sh
# Full test (higher concurrency range)
./scripts/benchmark.sh full
# Custom target URL
BASE_URL=http://your-server:8080 ./scripts/benchmark.sh
Otherwise, run hey directly. Set the target base URL:
BASE_URL=http://localhost:8080
Smoke benchmark on a cheap endpoint (prefer /health if present):
hey -n 2000 -c 50 "$BASE_URL/health"
Benchmark a representative API endpoint (replace path and method/body):
hey -n 2000 -c 50 -m GET "$BASE_URL/api/v1/items"
POST example:
hey -n 1000 -c 25 -m POST -H "Content-Type: application/json" \
-d '{"name":"example"}' \
"$BASE_URL/api/v1/items"
| Endpoint | Purpose | Measures |
|---|---|---|
/health | Pure compute | Framework baseline QPS |
/ready | DB + Cache | I/O bound performance |
/api/v1/{resource} | Business logic | Real API performance |
| Rating | /health QPS | Notes |
|---|---|---|
| Excellent | > 30,000 | Optimal performance |
| Good | > 10,000 | Production ready |
| Fair | > 5,000 | Check bottlenecks |
| Low | < 5,000 | Likely debug mode |
Track:
If numbers regress after a change:
./scripts/reset-docker.sh if stateful)| Issue | Solution |
|---|---|
| Low QPS | Ensure --release flag (Rust), check resource usage |
| Service not running | Start via Docker Compose or cargo run --release |
| DB/Cache issues | docker compose ps, restart services |