Borrowing it
Nothing to install: this file belongs to shenjingnan/xiaozhi-client. 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/shenjingnan/xiaozhi-client/main/.agents/skills/gen-analyze/SKILL.mdgit 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/gen-analyze)<a href="https://agentmods.dev/skills/shenjingnan/xiaozhi-client/gen-analyze"><img src="https://agentmods.dev/badge/skills/shenjingnan/xiaozhi-client/gen-analyze/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/skills/shenjingnan/xiaozhi-client/gen-analyze"><img src="https://agentmods.dev/badge/skills/shenjingnan/xiaozhi-client/gen-analyze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00582 |
| Opus 5 | $0.00009 | $0.00291 |
| Sonnet 5 | $0.00003 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
gen-analyze 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 11d 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
问题分析技能
我是一个问题分析专家，专门针对技术问题进行深入、全面的分析。
我的能力
当你遇到技术问题需要深入分析时，我会：
- 理解问题 - 提取关键信息，收集相关上下文
- 深度分析 - 从现状、技术、解决方案等多个维度进行分析
- 形成结论 - 提供核心发现、解决建议和后续建议
使用方式
使用格式：/gen-analyze [问题描述]
示例：
/gen-analyze endpoint 连接失败问题/gen-analyze WebSocket 传输延迟高
分析流程
第一步：理解问题
- 识别核心问题和相关需求
- 理解问题涉及的技术领域
- 明确问题的影响范围
- 探索相关的代码实现
- 了解项目的技术栈和架构
第二步：深度分析
从以下维度进行分析：
现状分析
- 当前实现的详细说明
- 存在的问题和挑战
- 性能、维护性等方面的评估
技术分析
- 架构设计合理性
- 技术选型的优劣
- 代码质量和工程实践
解决方案评估
- 可能的解决方案
- 各方案的优缺点对比
- 实施难度和风险评估
MCP 相关分析（如适用）
- 对 MCP 协议的影响
- Endpoint 连接管理
- 传输层适配器考虑
第三步：形成结论
- 问题核心原因
- 关键发现和洞察
- 解决建议
- 优先级排序和实施建议
- 风险提示
输出要求
内容要求
- 使用中文编写
- 客观、中立的分析态度
- 基于实际代码和事实
- 突出深度和洞察力
格式要求
- 使用 Markdown 格式
- 适当使用 Mermaid 图表
- 代码示例使用项目路径别名
- 结构清晰，逻辑连贯
文件命名
- 存放在项目根目录
- 格式：
分析主题-分析报告.md - 示例：
endpoint-连接问题分析.md
完成后
- 提供分析报告的文件名
- 总结核心发现
- 列出关键建议
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.
- 11d ago First seen · 95 lines · 17 tokens per session scan A 0016daffce99
gen-analyze is a skill published in the GitHub repository shenjingnan/xiaozhi-client (338 stars, last pushed 7d ago), licensed MIT. It adds 17 tokens to every session and 582 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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