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-tech/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-tech)<a href="https://agentmods.dev/skills/shenjingnan/xiaozhi-client/gen-tech"><img src="https://agentmods.dev/badge/skills/shenjingnan/xiaozhi-client/gen-tech/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-tech"><img src="https://agentmods.dev/badge/skills/shenjingnan/xiaozhi-client/gen-tech.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 | $0.00448 |
| Opus 5 | $0.00009 | $0.00224 |
| Sonnet 5 | $0.00003 | $0.00090 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
gen-tech 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 9d 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
技术方案编写技能
我是一个技术方案编写专家，专门针对开发任务进行全面的技术方案分析。
我的能力
当你需要为某个任务编写技术方案时，我会：
- 分析现状 - 理解当前实现和架构
- 设计技术方案 - 基于需求给出合理的技术方案
- 制定实施计划 - 详细说明分阶段实施步骤和验收标准
使用方式
使用格式：/gen-tech [任务描述]
示例：
/gen-tech 实现多端点负载均衡/gen-tech 添加 WebSocket 传输支持
方案要求
你的技术方案至少应该包含：
1. 对现状的分析
- 当前实现的详细说明
- 存在的问题和局限性
- 改进的必要性
2. 当前架构分析
- 现有架构设计
- 各组件之间的关系
- 技术栈和依赖
3. 技术方案设计
- 整体方案设计
- 关键技术选型
- 架构调整说明
- 预期效果
4. 具体实施方案
重要：实施方案必须详细，因为一旦技术方案审核通过后，将严格按照方案进行开发。
- 是否需要分阶段进行
- 每个阶段的具体任务
- 每个阶段的验收标准
- 风险评估和应对措施
输出格式
- 使用 Markdown 格式
- 如需绘图使用 Mermaid
- 编写好的技术方案存放在项目根目录
- 完成后告知技术方案文件名
编写原则
- 保持中立客观冷静
- 不加入主观判断
- 展现专业工程师素质
- 详细说明评估过程，避免前期评估不充分导致的返工
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.
- 9d ago First seen · 71 lines · 17 tokens per session scan A f83ccccf74d9
gen-tech is a skill published in the GitHub repository shenjingnan/xiaozhi-client (338 stars, last pushed 6d ago), licensed MIT. It adds 17 tokens to every session and 448 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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