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 skills add tlzmw001/naiyue-skills --skill naiyue-skill-buildergit clone --depth 1 https://github.com/tlzmw001/naiyue-skillsWrote 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/tlzmw001/naiyue-skills/naiyue-skill-builder)<a href="https://agentmods.dev/skills/tlzmw001/naiyue-skills/naiyue-skill-builder"><img src="https://agentmods.dev/badge/skills/tlzmw001/naiyue-skills/naiyue-skill-builder/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/tlzmw001/naiyue-skills/naiyue-skill-builder"><img src="https://agentmods.dev/badge/skills/tlzmw001/naiyue-skills/naiyue-skill-builder.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 | $0.00110 | $0.01355 |
| Opus 5 | $0.00055 | $0.00678 |
| Sonnet 5 | $0.00022 | $0.00271 |
| Haiku 4.5 | $0.00011 | $0.00136 |
Grade A, and why
naiyue-skill-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Naiyue Skill 构建器
核心约定
把这个 skill 作为本仓库的项目级 skill 构建编排器使用。
它不替代官方 skill-creator，而是负责判断应该走哪个本地流程、读取哪些项目 reference、以及持久化模版和反馈规则。
默认项目状态放在当前 skill 目录：
assets/registry.yaml：已注册的可复用 skill 类型。assets/global-rules.md：适用于所有生成 skill 的反馈沉淀规则。references/user-skill-builder.md：把用户思考方式转成个人 thinking skill。references/user-thinking-config.md：配置并检查用户思维 skill 的本地路径。references/template-extractor.md：从同类 skill 中提炼可复用模版。references/skill-writer.md：基于需求、模版和官方规范写新 skill。references/feedback-loop.md：把 skill 使用反馈记录到规则中。scripts/quick_validate.py：跨宿主的 skill 目录快速校验脚本。scripts/user_thinking_config.py：管理首次调用提醒和用户思维 skill 路径。
除非用户明确指定其他位置，新建项目级 skill 时放到当前仓库的 skills/<skill-name>/；
.agents/skills/ 和 .claude/skills/ 只放指向该目录的发现入口，不维护内容副本。
初始化门禁
每次调用本 skill 时，先加载 references/user-thinking-config.md，并按其中说明运行：
python3 "$SKILL_DIR/scripts/user_thinking_config.py" status
这里的“首次启动”指本 skill 的第一次调用，因为 Agent Skills 没有宿主应用启动钩子。
- 首次调用尚未配置时，先提醒用户选择创建、配置或暂缓用户思维 skill，再进入下方路由。
- 已配置且可用时，后续需要个人判断指导的流程直接读取状态返回的
user_thinking_skill_path。 - 配置路径失效或内容无效时，停止当前 builder 流程并要求重新配置，不要尝试调用或静默忽略缺失的 skill。
- 用户明确暂缓后，可以继续不依赖个人判断指导的流程。
路由
先选择一个主流程，再只加载对应 reference。
| 用户意图 | 加载 |
|---|---|
| "把我的想法沉淀成 skill", "更新用户 skill", "像我一样思考" | references/user-skill-builder.md |
| "这几个 skill 是一类", "抽模版", "新建 skill 类型" | references/template-extractor.md |
| "帮我写一个 skill", "创建项目级 skill", "新建 skill" | references/skill-writer.md |
| "把这条记下来", "记录这个坑", "加到模版规则里" | references/feedback-loop.md |
当多个流程重叠时：
- 写新 skill 时，从
references/skill-writer.md开始；它会根据注册表判断是否需要套用模版。 - 记录使用反馈时，从
references/feedback-loop.md开始；不要直接改目标 skill，除非用户另外要求修改。 - 遇到反复出现的个人判断原则时，从
references/user-skill-builder.md开始；不要把跨项目思维规则藏进某个任务模版里。
执行规则
写入或修改 skill 前：
- 读取当前请求和相关本地 reference。
- 任务涉及写 skill 或分类 skill 时，先查
assets/registry.yaml。 - 新建 skill 目录时，优先使用官方
skill-creator初始化；不可用时再手动创建同等必需结构。 - 保持
SKILL.md简洁，把细节流程移到references/。 - 路径、阈值、文件名和模版参数放在配置区或
assets/，不要散落硬编码在步骤里。 - 优先复用已有模版和规则，不要先发明新结构。没有强匹配时从头写，并说明等出现第二个同类 skill 后再提炼模版。
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 246 B
- assets/evidence-gated-investigation/examples.md 2.5 KB
- assets/evidence-gated-investigation/rules.md 3.2 KB
- assets/evidence-gated-investigation/template.md 7.9 KB
- assets/global-rules.md 141 B
- assets/registry.yaml 704 B
- references/feedback-loop.md 2.0 KB
- references/skill-writer.md 4.5 KB
- references/template-extractor.md 4.3 KB
- references/user-skill-builder.md 5.9 KB
- references/user-thinking-config.md 2.5 KB
- scripts/quick_validate.py 3.6 KB runs code
- scripts/user_thinking_config.py 7.7 KB runs code
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.
- 12d ago First seen · 94 lines · 110 tokens per session scan A 1b4fd824a6ce
naiyue-skill-builder is a skill published in the GitHub repository tlzmw001/naiyue-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 110 tokens to every session and 1,355 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…