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 yan-labs/yan-skills --skill bloggit clone --depth 1 https://github.com/yan-labs/yan-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/yan-labs/yan-skills/blog)<a href="https://agentmods.dev/skills/yan-labs/yan-skills/blog"><img src="https://agentmods.dev/badge/skills/yan-labs/yan-skills/blog/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/yan-labs/yan-skills/blog"><img src="https://agentmods.dev/badge/skills/yan-labs/yan-skills/blog.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 | $0.00321 | $0.02181 |
| Opus 5.5 | $0.00128 | $0.00872 |
| Sonnet 5.5 | $0.00064 | $0.00436 |
| Haiku 4.5 | $0.00032 | $0.00218 |
Grade A, and why
blog 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 10d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
blog · 我们自己的文章流程
这个 Skill 记录用户（2026-10-11）定下的文章类页面做法，只服务 effect.video 一类站点。它不重复别的 Skill 的内容，只规定“谁做什么、按什么顺序、哪些不许做”，细节指到对应 Skill 去读。
配图（封面图）与正文同等重要，是写文章的一部分：每篇文章都要有一张海报式封面，走 /imagegen，见 references/cover.md。
为什么这样做
文章的价值在可信：写的是别人已经说清楚的东西，我们负责挑选、衔接、梳理。自己编的数字、效果、评价一出错，就是 EEAT 的硬伤。所以流程把“找资料”和“写”拆开，资料先落成带出处的文件，写作模型只能用这个文件里的东西，再由另一个模型对着文件逐条核对。
一条铁律（其余规则都从它来）
不自编。 文章里每一个事实、数字、引文、评价都要能指回一条真实可访问的来源（sources/<slug>.json 里的一项）。我们自己的东西只有两类：衔接与梳理的话，以及站内计价/参数（由代码生成，不手写）。拿不到来源的内容宁可不写，写进报告“缺口”。
谁做什么
| 环节 | 执行者 | 说明 |
|---|---|---|
| X 平台上的任何调研（找帖子、热点、社区评价、对比资料） | Grok（fleet-go new … --to grok） |
帖子要带原始链接、作者、日期、是否含视频 |
| YouTube 参考视频、Reddit、官方 blog/文档/定价 | Claude（fleet-go new … --to claude --tier sonnet，需浏览器时 opencli） |
官方与一手资料优先 |
| 画布设计（UI library 与“文章页标准”页） | Claude（画布 agent，executor-sonnet；读写画布需本应用 Artifact 工具） | 先 UI library，后页面（见 /design） |
| 组件/schema/深链接/数据源等架构决策 | Claude Opus | 复杂取舍 |
| 套用模板、页面迁移、机械编辑 | Claude Sonnet | |
| 成文 | Gemini 3.8 Flash（fleet-go new … --to gemini） |
把全部资料写进去，只做衔接与梳理，正面表述 |
| 成文后 review | Claude Sonnet | 对着 sources 核对事实、引用、语气、夸大 |
| 代码/SEO 复核 | Claude Opus（只读）；Sol 只读也可 | maker 与 checker 不同人 |
| 封面图（每篇文章一张海报式封面） | Codex image_gen（/imagegen，fleet-go new … --to gpt --make image） |
好莱坞大片感：夸张、强冲击力、视觉焦点鲜明；不出现文字/logo/商标/真实人物；详见 references/cover.md |
| 部署与线上回读 | 按 agent-fleet 的部署模板，生产只读回读 | 生产不做真实付费验证 |
派单一律用 agent-fleet 的 fleet-go new（run_in_background，不加 &），写作 brief 模板见 references/writer-brief.md。
流程（一次做完，不往后排期）
每一步都有产物文件，写进 ~/.agent-reports/<日期>/ 并更新项目接力记录（rankup 的接力协议）。
- 摸底：当前路由/组件/schema/深链接/计价数据源（只读，Sol 或 Claude）。
- 画布：在同一张设计画布新建/更新“文章页标准”页，UI library 先定组件，再画 model 页、blog、模型对比、产品对比四种模板（
/design，一页一页发布）。 - 组件实现：公共组件 + 内容 schema（向后兼容）+
/generator按模型参数深链接 + X 嵌入 + shadcn 图表 + 参数表与积分图表数据由站内计价自动生成（frontmatter 只声明model/xKind，不写数字）。URL、canonical 不变，JSON-LD 只增不改。草稿与 manifest 的gaps不进构建产物。详见references/components.md。 - 资料采集：每篇文章一份
sources/<slug>.json，格式与来源规则见references/sources.md。X 交 Grok，其余交 Claude。采集后逐条验证链接可打开、日期与作者对得上。 - 成文：Gemini 3.8 Flash 按
references/writer-brief.md写；输入是 sources 文件、站内参数表数据、文章骨架。 - Review：Claude Sonnet 按
references/writer-brief.md的清单核对，改动写回；通过后才进仓库。 6.5 封面图：每篇文章一张，按references/cover.md用/imagegen生成，落盘并转 webp，写进 frontmatter（cover、og 图同源）。 - 迁移与接入：写入
content/articles/**，页面三处引导 card（首屏、文中、文末），YouTube iframe 必备，X 评论墙，Reddit 仅链接，Prompt 集合卡（有则内置），参数表/对比表。 - 复核：Opus 只读复核代码与 SEO，Sonnet 复核内容；修必修项。
- 部署与回读：生产部署后只读回读（页面、嵌入可播放、JSON-LD、canonical、截图并排）；IndexNow。
- 评判：见
references/review-eval.md（哥飞 AI 评分、AITDK 监测、ChatGPT 匿名问答），分数不达标回到第 5 步。
What ships with it
7 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.
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.
- 10d ago First seen · 72 lines · 321 tokens per session scan A d7dd1b6de0cb
blog is a skill published in the GitHub repository yan-labs/yan-skills (224 stars, last pushed 5d ago), licensed MIT. It adds 321 tokens to every session and 2,181 once invoked, about $0.0013 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 2026-10-12.
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