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.
git clone --depth 1 https://github.com/movebrickschi/harness-engineering-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/movebrickschi/harness-engineering-mcp/08-performance-resource)<a href="https://agentmods.dev/rules/movebrickschi/harness-engineering-mcp/08-performance-resource"><img src="https://agentmods.dev/badge/rules/movebrickschi/harness-engineering-mcp/08-performance-resource/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/movebrickschi/harness-engineering-mcp/08-performance-resource"><img src="https://agentmods.dev/badge/rules/movebrickschi/harness-engineering-mcp/08-performance-resource.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00000 | $0.00420 |
| Opus 5.5 | $0.00000 | $0.00168 |
| Sonnet 5.5 | $0.00000 | $0.00084 |
| Haiku 4.5 | $0.00000 | $0.00042 |
Grade A, and why
08-performance-resource scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
性能与资源管理
JVM优化
- 对象池化：高创建成本对象（JSON Parser、Regex Pattern）使用
static final常量或ThreadLocal缓存 - 集合选型：频繁查询→HashMap，有序遍历→LinkedHashMap，并发读多→CopyOnWriteArrayList
- Stream：大数据量避免长链式操作，CPU密集型任务可用parallel()
- 内存泄漏：匿名内部类检查对外部类的隐式引用，监听器必须提供移除机制
// ✅ 正确：Pattern编译为静态常量
private static final Pattern EMAIL_PATTERN = Pattern.compile("^[\\w.-]+@[\\w.-]+$");
// ❌ 错误：每次调用都编译
public boolean validate(String email) {
return Pattern.compile("^[\\w.-]+@[\\w.-]+$").matcher(email).matches();
}
数据访问层
| 规则 | 说明 |
|---|---|
| 禁止SELECT * | 只查询需要的字段 |
| JOIN不超过3表 | 超过则拆分为多次查询 |
| 千万级大表 | 必须考虑分库分表策略 |
| N+1问题 | 自定义@Select JOIN查询或resultMap嵌套查询；生产环境开启SQL统计日志验证 |
缓存策略
| 场景 | 策略 |
|---|---|
| 读多写少 | Read-Through Cache |
| 写多读少 | Write-Behind |
| 缓存穿透 | Bloom Filter |
连接池
HikariCP的maximum-pool-size = (core_count × 2) + effective_spindle_count
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.
- 1mo ago First seen · 46 lines · 420 tokens per session scan A 4f02a6b725a2
08-performance-resource is a cursor rule published in the GitHub repository movebrickschi/harness-engineering-mcp (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 420 tokens. 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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