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 PNGTRID/AnvilWiki --skill anvil-new-articlegit clone --depth 1 https://github.com/PNGTRID/AnvilWikiWrote 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/pngtrid/anvilwiki/anvil-new-article)<a href="https://agentmods.dev/skills/pngtrid/anvilwiki/anvil-new-article"><img src="https://agentmods.dev/badge/skills/pngtrid/anvilwiki/anvil-new-article/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/pngtrid/anvilwiki/anvil-new-article"><img src="https://agentmods.dev/badge/skills/pngtrid/anvilwiki/anvil-new-article.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 95 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00111 | $0.02354 |
| Opus 5 | $0.00056 | $0.01177 |
| Sonnet 5 | $0.00022 | $0.00471 |
| Haiku 4.5 | $0.00011 | $0.00235 |
Grade A, and why
anvil-new-article 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 7d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AnvilWiki 新文章生成
把用户给的任何素材变成一篇构建必过的 MDX 页面。先读规范再动手:
- 读
docs/content-format.md(frontmatter 字段表 + 正文规则) - 读
src/content.config.ts(Zod schema——这是构建时硬校验,不过就 build 失败) - 读
src/config/navigation.ts的CONTENT_TYPES(category 必须是这里的 key) - 参考一篇同类文章(如
src/content/wiki/en/bosses/emberfang.mdx)对齐结构
工作流
Step 0 — 视频转文字素材(素材是 YouTube 视频时)
字幕是素材不是成文——口语流水账必须重构成问题式 H2 + 直答结构,不许整段照搬。
拿字幕(三选一,按依赖从少到多):
- 用户直接粘贴字幕/文字稿(零依赖,优先要)
yt-dlp --skip-download --write-subs --write-auto-subs --sub-langs "en.*" -o "transcript" "<视频URL>"(产出transcript.*.vtt,时间戳行自己剥;yt-dlp -j "<URL>"顺带拿标题/频道名,正文引用出处用)pip install youtube-transcript-api走 Python API(手动字幕优先、自动生成兜底;YouTube 风控对数据中心 IP 越来越狠,失败就回 1)
从视频/字幕提取什么 → 落到哪里:
| 从视频/字幕提取 | 落到 AnvilWiki 契约 |
|---|---|
| 核心话题 + 搜索意图 | 走 Step 1 的 category 判型表 |
| kebab-case slug | 文件名 src/content/wiki/<locale>/<category>/<slug>.mdx |
| 标题(≤80 字符,含游戏名+关键词) | frontmatter title |
| meta 描述(40-165 字符) | frontmatter description |
| 一句话直答 | frontmatter summary(40-60 词——Quick Answer 卡 + AI 搜索摘要候选) |
| 5-8 组问答对 | frontmatter faq:({question, answer} 数组——自动渲染可见 <details> 区块 + 并入 FAQPage JSON-LD) |
| 内容大纲 | 问题式 H2 + 每节首段 40-60 词直答(Step 3 规则) |
| 标签 | 复用现有 tag 词汇表(Step 2 的 grep) |
两条红线(不满足不许转正):
- 事实红线:视频作者口播的数值/掉率/兑换码一律视为未验证素材,成品必须
draft: true,人工进游戏核实后才能转正;查不到就删,宁缺毋假(编造一个假码毁掉全站信任)。 - 版权红线:转写自己的视频最干净;拿别人的视频字幕成文属于演绎内容,有 DMCA 与重复内容风险——他人视频只做事实参考,正文必须完全重写;嵌入原视频(frontmatter
videos: ["<11位ID>"]+<Video id="..." />,见 Step 3)是标准且合规的做法。
缩略图:https://img.youtube.com/vi/<ID>/maxresdefault.jpg(404 则 hqdefault.jpg)只作 pnpm gen-covers 出品牌封面的视觉参考,抓来的图不要直接发布。
Step 1 — 判断页面类型(按搜索意图)
| 用户素材特征 | category 建议 | 页面形态 |
|---|---|---|
| 兑换码列表 / 奖励码 | codes |
frontmatter codes: 数组(status/expiryDate/source),页面自动渲染 Active/Expired 分区 + FAQPage JSON-LD |
| Boss 打法 / 属性 | bosses |
frontmatter 加 boss: 结构化数据卡 + 按阶段 H2 |
| 教程 / 路线 / how to | guides |
问题式 H2 + 每节首段 40-60 词直答 |
| 排名 / 对比 | guides(或 tier-list 分类若存在) |
表格为主 |
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.
- 7d ago Changed · +34 lines · +18 tokens per session 84658146a62f
- 11d ago First seen · 70 lines · 93 tokens per session scan A 06d9fb2165f6
anvil-new-article is a skill published in the GitHub repository PNGTRID/AnvilWiki (133 stars, last pushed today), licensed MIT. It adds 111 tokens to every session and 2,354 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 2026-08-30.
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