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 malue-ai/dazee-small --skill social-media-creatorgit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/social-media-creator)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/social-media-creator"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/social-media-creator/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/malue-ai/dazee-small/social-media-creator"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/social-media-creator.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 | $0.00041 | $0.00800 |
| Opus 5 | $0.00020 | $0.00400 |
| Sonnet 5 | $0.00008 | $0.00160 |
| Haiku 4.5 | $0.00004 | $0.00080 |
Grade A, and why
social-media-creator 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
社交媒体内容创作
根据目标平台自动创作优化的社交媒体内容：适配语气、长度、格式、话题标签和配图建议。
使用场景
- 用户说「帮我写一条推广推文」「写个 LinkedIn 帖子宣布新产品」
- 用户说「把这篇文章改成 Instagram 版本」「写个 Medium 文章」
- 用户说「帮我想几条社交媒体文案」「这个话题怎么发」
支持的平台
Twitter / X
- 长度: ≤ 280 字符（建议 200 以内更佳）
- 风格: 简洁有力，一句话核心观点
- 格式: 纯文本 + 话题标签 + 可选 thread
- 标签: 1-3 个 #hashtag
- 技巧: 开头 hook 抓注意力，结尾 CTA 引互动
- Thread: 长内容拆成 5-10 条 thread
- 长度: 500-1500 字符
- 风格: 专业但不枯燥，个人故事+专业洞察
- 格式: 短段落（1-2 句），行间留白，emoji 适量
- 标签: 3-5 个 #hashtag
- 技巧: 首句 hook（不要被折叠），结尾提问引评论
- 长度: 正文 ≤ 2200 字符，建议 300-500
- 风格: 视觉驱动，文字配合图片
- 格式: 短段落 + emoji + 换行
- 标签: 15-30 个 #hashtag（放评论区或正文末尾）
- 配图建议: 1:1 正方形或 4:5 竖图
Medium / Blog
- 长度: 800-2500 字
- 风格: 深度思考，有论据和案例
- 格式: 标题 + 小标题 + 引用 + 列表 + 代码块
- SEO: 标题含关键词，正文自然嵌入
- 技巧: 前 100 字决定是否继续阅读
YouTube Community / 视频描述
- 描述: 前 2 行最重要（折叠前可见）
- 时间戳: 为长视频添加章节时间戳
- 标签: 相关关键词标签
- CTA: 引导订阅/点赞/评论
执行方式
直接使用 LLM 能力生成内容，无需外部工具。
输出格式
为每个平台生成独立版本：
## Twitter/X 版本
**正文**:
（内容）
**标签**: #tag1 #tag2 #tag3
---
## LinkedIn 版本
**正文**:
（内容）
**标签**: #tag1 #tag2 #tag3
---
输出规范
- 默认根据用户意图判断最合适的单一平台
- 用户说「全平台」时生成 3+ 个版本
- 每个版本标注字符数
- 包含配图/媒体建议
- 如有用户写作风格记忆，按风格适配
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 · 109 lines · 41 tokens per session scan A df5e0679147f
social-media-creator is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 800 once invoked, about $0.0002 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 2026-09-03.
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