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 skills/shenjingnan/xiaozhi-client/practical-development-validatornpx skills add shenjingnan/xiaozhi-client --skill practical-development-validatorgit clone --depth 1 https://github.com/shenjingnan/xiaozhi-clientWrote 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/skills/shenjingnan/xiaozhi-client/practical-development-validator)<a href="https://agentmods.dev/skills/shenjingnan/xiaozhi-client/practical-development-validator"><img src="https://agentmods.dev/badge/skills/shenjingnan/xiaozhi-client/practical-development-validator.svg" alt="Measured on agentmods" 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 | $0.00012 | $0.01678 |
| Opus 5 | $0.00006 | $0.00839 |
| Sonnet 5 | $0.00002 | $0.00336 |
| Haiku 4.5 | $0.00001 | $0.00168 |
Grade A, and why
practical-development-validator 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
我是务实开发原则检查技能,专门帮助开发团队避免过度设计,确保代码实现符合"如无必要勿增实体"的核心原则。
技能使用原则
- 检查是否引入了不必要的复杂性:评估代码变更是否增加了不必要的复杂度
- 评估功能实现是否符合"如无必要勿增实体":确保每个实体都有明确的功能价值
- 确保代码优雅但不过度设计:平衡代码质量和复杂度
- 验证架构合理性但不冗余:确保架构设计有实际意义
技能能力
1. 过度设计检查
核心能力:识别代码中可能存在的过度设计和不必要的复杂性。
检查内容
- 过度抽象:为了抽象而抽象的代码结构
- 预防性编程:为"未来可能需要"而增加的复杂功能
- 过度设计模式:不必要的复杂设计模式使用
- 过度配置:过于复杂的配置系统
- 过早优化:在没有性能问题时进行的性能优化
检查示例
// ❌ 过度抽象
abstract class BaseService<T, U, V> {
abstract execute(request: T): Promise<U>;
abstract validate(request: T): V;
abstract handleError(error: Error): void;
}
// ✅ 简单直接
class UserService {
async createUser(userData: UserData): Promise<User> {
// 直接实现功能
}
}
2. 复杂度评估
评估代码变更的复杂度是否与其功能价值匹配。
评估标准
- 功能价值比:复杂度与实际功能价值的比例
- 维护成本:新增代码对整体维护成本的影响
- 理解难度:新贡献者理解代码的难度
- 扩展性需求:是否真的需要当前设计的扩展性
复杂度指标
// 复杂度检查清单
interface ComplexityChecklist {
// ✅ 合理的复杂度
hasClearPurpose: boolean; // 有明确的目的
solvesRealProblem: boolean; // 解决实际问题
necessaryAbstraction: boolean; // 必要的抽象
maintainableCode: boolean; // 可维护的代码
// ❌ 过度的复杂度
futureProofing: boolean; // 为未来过度设计
unnecessaryPatterns: boolean; // 不必要的设计模式
overConfiguration: boolean; // 过度配置
prematureOptimization: boolean; // 过早优化
}
3. 实用性验证
验证代码实现的实用性,确保解决实际问题。
实用性检查
- 问题匹配:代码是否解决了实际的用户问题
- 功能必要性:每个功能模块是否都必要
- 接口设计:API 设计是否简洁实用
- 错误处理:错误处理是否实用而非过度
实用性示例
// ❌ 过度的错误处理
try {
const result = await apiCall();
if (result !== null && result !== undefined) {
if (typeof result === 'object' && result.data) {
// 过度嵌套的检查
}
}
} catch (error) {
if (error instanceof NetworkError) {
// 详细的错误分类
} else if (error instanceof ValidationError) {
// 详细的错误分类
}
// ...
}
// ✅ 实用的错误处理
try {
const result = await apiCall();
return result;
} catch (error) {
console.error('API调用失败:', error);
throw new Error('服务不可用');
}
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.
- 5d ago First seen · 210 lines · 12 tokens per session scan A 717048275905
practical-development-validator is a skill published in the GitHub repository shenjingnan/xiaozhi-client (338 stars, last pushed 2d ago), licensed MIT. It adds 12 tokens to every session and 1,678 once invoked, about $0.0001 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 2026-08-30.
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