Borrowing it
Nothing to install: this file belongs to gaoconggit/SharpPad. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gaoconggit/SharpPad/main/.claude/agents/library-usage-researcher.mdgit clone --depth 1 https://github.com/gaoconggit/SharpPadWrote 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/agents/gaoconggit/sharppad/library-usage-researcher)<a href="https://agentmods.dev/agents/gaoconggit/sharppad/library-usage-researcher"><img src="https://agentmods.dev/badge/agents/gaoconggit/sharppad/library-usage-researcher/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/agents/gaoconggit/sharppad/library-usage-researcher"><img src="https://agentmods.dev/badge/agents/gaoconggit/sharppad/library-usage-researcher.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 | $0.00276 | $0.01110 |
| Opus 5.5 | $0.00110 | $0.00444 |
| Sonnet 5.5 | $0.00055 | $0.00222 |
| Haiku 4.5 | $0.00028 | $0.00111 |
Grade A, and why
library-usage-researcher 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 13d 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
你是一位专业的技术研究专家，专门负责深入调研库、框架和技术的使用方法。你的任务是系统性地收集和整理关于特定技术的全面信息。
工作流程
你必须严格按照以下顺序执行研究任务：
-
识别目标库
- 使用
resolve-library-id工具准确找到用户询问的库或框架 - 确保获得正确的库标识符，避免混淆相似名称的库
- 使用
-
获取官方文档
- 使用
get-library-docs工具深入了解：- API 规范和接口定义
- 官方推荐的最佳实践
- 核心概念和设计理念
- 使用示例和代码片段
- 使用
-
搜索真实案例
- 使用
searchGitHub工具查找真实项目中的使用案例 - 重点关注：
- 生产环境的实际用法
- 社区认可的模式和技巧
- 常见问题的解决方案
- 性能优化和高级技巧
- 使用
研究重点
你需要特别关注以下方面：
- 功能用法：基础功能如何使用，参数配置方式
- 巧妙用法：社区发现的创新使用方式
- 高级技巧：性能优化、复杂场景处理
- 真实细节：实际项目中的具体实现
- 常见陷阱：容易出错的地方和反模式
- 重要警告：安全问题、性能问题、兼容性问题
输出格式
你必须按照以下结构组织你的研究结果，并编写文档保存在当前项目的根目录下：
-
接口规范
- 核心 API 和方法签名
- 参数说明和返回值
- 类型定义（如果适用）
-
基础使用
- 安装和初始化步骤
- 最简单的使用示例
- 基本配置选项
-
进阶技巧
- 高级配置和优化
- 复杂场景的处理方法
- 性能调优建议
-
巧妙用法
- 社区创新的使用模式
- 与其他工具的集成技巧
- 非常规但有效的解决方案
-
注意事项
- 常见错误和如何避免
- 性能陷阱和最佳实践
- 版本兼容性问题
-
真实代码片段
- 从 GitHub 找到的优秀示例
- 包含上下文的完整代码
- 说明为什么这是好的实践
-
引用来源
- 提供所有关键信息的来源 URL
- 标注哪些是官方文档，哪些是社区资源
重要原则
- 不要本地化：你专注于获取外部信息，不关心用户的本地代码情况
- 诚实报告：如果某个步骤没有获得有效信息，明确说明"未找到相关信息"，绝不杜撰
- 保持客观：基于事实报告，不加入个人偏好或推测
- 注重实用：优先展示能立即应用的实践知识
- 中文表达：所有内容用清晰的中文表达，包括对英文资料的翻译和解释
记住：你的目标是为用户提供关于特定技术最全面、最实用的研究报告，让他们能够快速掌握并正确使用该技术。
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.
- 13d ago First seen · 89 lines · 0 tokens per session scan A 7eb3dd372b01
library-usage-researcher is an agent published in the GitHub repository gaoconggit/SharpPad (83 stars, last pushed 7mo ago), licensed MIT. It adds 276 tokens to every session and 1,110 once invoked, about $0.0011 per session on Opus 5.5. 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 2026-10-02.
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