A content-writing skill that turns a current news topic into platform-specific posts for Chinese services such as Xiaohongshu, Douyin, Bilibili, Weibo, Zhihu, and WeChat.

Use it to create Chinese-language viral titles, hooks, scripts, post outlines, hashtags, and calls to action tied to a real trending topic.

It adapts the title, opening, structure, hashtags, and call to action to each platform instead of reusing one generic post.

viral-forge — Skill for Claude Code and Codex by asoiso/trend-radar

Install

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.

Any agent

npx skills add asoiso/trend-radar --skill viral-forge

Clone the repo

git clone --depth 1 https://github.com/asoiso/trend-radar

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/asoiso/trend-radar/viral-forge/github.svg)](https://agentmods.dev/skills/asoiso/trend-radar/viral-forge)

Your own site

<a href="https://agentmods.dev/skills/asoiso/trend-radar/viral-forge"><img src="https://agentmods.dev/badge/skills/asoiso/trend-radar/viral-forge/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/asoiso/trend-radar/viral-forge"><img src="https://agentmods.dev/badge/skills/asoiso/trend-radar/viral-forge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,880 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.03880
Opus 5.5	$0.00044	$0.01552
Sonnet 5.5	$0.00022	$0.00776
Haiku 4.5	$0.00011	$0.00388

Measured 2mo ago against content hash 9fb773a2664f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

viral-forge 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 2mo 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.

viral-forge/SKILL.md · 232 lines

How it starts

The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.

viral-forge — 爆款内容生产器

把一个真实热点（来自 trendradar）转成平台原生的爆款内容，覆盖标题变体、开篇 hook、正文骨架、hashtag、CTA。

When to activate

触发词（任一即可）：

中文：爆款标题 / 写一条小红书笔记 / 抖音脚本 / 微博热搜文案 / B站标题 / 知乎回答开头 / 公众号开头 / 借势XX 写文案 / 蹭热点写一篇 / 给我写个爆款
English：viral title / hook for X / write a viral post about X / xiaohongshu note / douyin script

平台关键词（出现任一时进入对应平台分支）：小红书 / xhs / 抖音 / douyin / tiktok-cn / B站 / bilibili / 微博 / weibo / 知乎 / zhihu / 公众号 / wechat / gzh.

Workflow

按顺序执行，每一步都要明确输出。

锚定真实热点（grounding）
- 如果用户给了具体新闻 / 事件 / 标题：直接进入第 2 步。
- 如果用户只给了一个模糊话题（"写一条关于 AI 的小红书"）：先调用 mcp__trendradar__get_latest_news(limit=30) 获取近期真实角度；如果用户提到了某个参考事件，调用 mcp__trendradar__find_related_news(reference_title="...") 找关联角度。
- 必须挑选 1-3 条真实新闻作为事实锚点，记录每条的 platform + 标题 + 时间，后续输出中要可追溯。
（可选）情绪基调判断
- 当事件属于争议 / 社会 / 民生 / 娱乐塌房等敏感类，调用 mcp__trendradar__analyze_sentiment 判断正向 / 负向 / 中性哪个占主导。
- 平台与情绪适配：
  - 负向主导 → 公众号 / 知乎适合理性复盘；小红书 / 抖音不要硬蹭，可换"避坑 / 观察"角度。
  - 正向主导 → 小红书 / 抖音 / B站庆祝、玩梗、种草模式都可以。
  - 中性 → 走"信息差 / 干货 / 揭秘"路线最稳。
加载平台规则
- 阅读 references/platform-playbook.md 获取目标平台的字符上限、hook 模板、互动钩子。
- 如果用户没指定平台，默认输出 小红书 + 抖音 + 微博 三套（覆盖度最高的组合）。
加载标题模板
- 阅读 references/title-patterns.md，挑选 3-5 个与本次事件 / 平台最匹配的模板。
- 不同平台优先模板不同：
  - 小红书：痛点式 / 清单式 / 第二人称式 / 损失厌恶式
  - 抖音：悬念式 / 反转式 / 数字反差式 / 提问式
  - B站：对比式 / 反共识式 / 揭秘式 / 故事钩子式
  - 微博：情绪标签式 / 时代符号式 / 角色代入式
  - 知乎：反共识式 / 权威背书式 / 揭秘式
  - 公众号：共情式 / 警示式 / 时代符号式 / 解决方案式
生成内容
- 3-5 条标题变体，每条要标注用了哪个模板（如 [反转式] [数字反差式]）。
- 1 套正文骨架（开篇 hook + 中段 3-5 个要点 + 收尾 CTA）。
- 1 个开篇 hook（视频前 3 秒 / 文字首句必须勾住人）。
- hashtag / 话题标签清单（数量符合平台规范）。
- 1 个 CTA（评论 / 收藏 / 转发 / 三连 / 关注）。
过 guardrail 自检（见下方 "Anti-clickbait + 合规 guardrails" 与 "Quality checklist"）
返回给用户：按"每平台一个 block"的格式输出。

Per-platform output blocks

按平台输出，每个 block 都要有 字符上限标注 + 标题变体 + 开篇 hook + 正文骨架 + hashtag + CTA + 来源标注。

小红书

字符限制：标题 ≤ 20 字最佳（系统上限 20，超出会被截断），正文 ≤ 1000 字（实际 600-800 字阅读体验最好）。
emoji：适度使用 2-5 个，集中在标题首尾、段首；过量会被识别为"营销号"。

结构模板：

标题（≤20 字 + 1-2 个 emoji）

首段 hook（1-2 句，制造痛点 / 反转 / 共鸣，让人想滑下去）

痛点 1 / 亮点 1（小标题加粗或 emoji 引导）
痛点 2 / 亮点 2
痛点 3 / 亮点 3
（建议 3-5 段，每段 2-4 行）

收尾互动钩子（提问 / 求评论 / 抛话题）
#话题1# #话题2# #话题3#（3-8 个）

hashtag：3-8 个，混合大词（百万级）+ 中词（十万级）+ 长尾词。
CTA：你也遇到过吗？评论区告诉我 / 点赞收藏下次不迷路 / 蹲一个同款。

Read the full file on GitHub · 232 lines

Files

What ships with it

2 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.

Changes

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.

2mo ago First seen · 232 lines · 111 tokens per session scan A 9fb773a2664f

Subscribe to this mod's changes

viral-forge is a skill published in the GitHub repository asoiso/trend-radar (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 111 tokens to every session and 3,880 once invoked, about $0.0004 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 2026-08-31.

Claude Code Marketing and SEO Writing and docs agent-skills agentskills ai-agents chinese-internet content-marketing

viral-forge next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
viral-forgeasoiso/trend-radar	Skill	2	6mo ago	Apache-2.0	A	111	Claude Code, Codex
ops-demoSnowflake-Labs/cocoplus	Skill	727	today	MIT	A	46	Claude Code
ai-brainOotto-AI/claude-content-skills	Skill	408	today	MIT	A	95	Claude Code
comment-responderOotto-AI/claude-content-skills	Skill	408	today	MIT	A	94	Claude Code
trend-spotterOotto-AI/claude-content-skills	Skill	408	today	MIT	A	74	Claude Code
hashtag-keyword-researchOotto-AI/claude-content-skills	Skill	408	today	MIT	A	56	Claude Code
diarySnowflake-Labs/cocoplus	Skill	727	today	MIT	A	12	Claude Code, Codex