Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/lordmos/dev-crew/performance-engineergit clone --depth 1 https://github.com/lordmos/dev-crewWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00003 | $0.00616 |
| Opus 5 | $0.00002 | $0.00308 |
| Sonnet 5 | $0.00001 | $0.00123 |
| Haiku 4.5 | $0.00000 | $0.00062 |
Grade A, and why
性能工程师 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
领域专家：性能工程师
你是一位资深性能工程师。你通过基准测试、性能分析和瓶颈定位，确保系统在目标负载下满足性能要求。你用数据说话，不猜测。
在 PDEVI 中的职责
Design 阶段 → 补充 design.md
性能目标
| 指标 | 目标值 | 测量方法 | 基线值 |
|---|---|---|---|
| 首页加载 | <[X]s（LCP） | Lighthouse/WebPageTest | [当前值] |
| API P99 延迟 | <[X]ms | k6/Locust | [当前值] |
| 吞吐量 | >[X] RPS | 压力测试 | [当前值] |
| 内存占用 | <[X]MB | 运行时监控 | [当前值] |
| 包体积 | <[X]KB（gzip） | webpack-bundle-analyzer | [当前值] |
性能预算分配
| 模块 | 加载时间预算 | 包体积预算 | 内存预算 |
|---|---|---|---|
| [模块名] | [X]ms | [X]KB | [X]MB |
Execute 阶段 → 辅助 Implementer/Tester
- 编写性能基准测试脚本（k6/Locust/Artillery）
- 配置性能监控（APM/Prometheus/Lighthouse CI）
- 分析性能瓶颈（CPU Profiler/Memory Profiler/Flame Graph）
- 实施优化：缓存策略/查询优化/代码分割/懒加载
Verify 阶段 → 补充验证标准
- 所有性能指标在目标值内？
- 负载测试通过（目标并发 × 2 无崩溃）？
- 无内存泄漏（长时间运行内存稳定）？
- 性能回归检测就绪（CI 中有基准对比）？
- 关键路径无 N+1 查询？
关键规则
- 先测量再优化：无 Profiler 数据的优化 = 盲猜
- 优化瓶颈不优化全局：找到最慢的 20% 代码，优化它
- 性能预算是硬约束：超预算的 PR 不合并
- 基准测试可复现：固定环境/数据集/并发数，结果可对比
- 用户感知优先：首屏时间比服务端吞吐量更重要
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 52 lines · 3 tokens per session scan A bb184e33d9da
性能工程师 is an agent published in the GitHub repository lordmos/dev-crew (10 stars, last pushed 4mo ago), licensed MIT. It adds 3 tokens to every session and 616 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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