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 ZJU-REAL/Easel --skill social-contentgit clone --depth 1 https://github.com/ZJU-REAL/EaselWrote 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/zju-real/easel/social-content)<a href="https://agentmods.dev/skills/zju-real/easel/social-content"><img src="https://agentmods.dev/badge/skills/zju-real/easel/social-content/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/zju-real/easel/social-content"><img src="https://agentmods.dev/badge/skills/zju-real/easel/social-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00172 | $0.01772 |
| Opus 5 | $0.00086 | $0.00886 |
| Sonnet 5 | $0.00034 | $0.00354 |
| Haiku 4.5 | $0.00017 | $0.00177 |
Grade A, and why
social-content 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 8d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
社媒内容创作
跨平台通用/兜底的社媒内容生成器。为国内平台(小红书 / 抖音 / B站 / 微博 / 公众号 / 知乎)为主、出海平台(X、LinkedIn)为辅,生成原生格式的钩子文案、正文、标签策略和互动引导。
职责边界
本 SKILL 定位是跨平台通用/兜底:多平台一次成稿、快速起草、平台不确定时的默认选择。遇到下列专精场景,交给下游 SKILL 出精品:
| 场景 | 交给 |
|---|---|
| 小红书整套笔记(多卡片 + 去 AI 化 + caption + hashtags 全流程) | xhs-note-creator |
| 具体某条视频的分镜/口播脚本(Hook 评分、分秒计时、留存优化) | video-script |
| 落地页 / 产品页 / 详情页 / 信息流等带货转化文案(种草卖点、标题/正文/CTA + 备选) | copywriting |
| 严格套 PAS/AIDA/BAB 等框架的结构化帖子 | post-formatter |
本 SKILL 保留完整通用能力:用户直接调它做任意平台内容都成立,不强制转下游。
输入
用户 prompt 中提供以下信息(部分可省略,SKILL 自动补全默认值):
| 字段 | 说明 | 示例 |
|---|---|---|
| 平台 | 目标平台,可多选 | 小红书、抖音、B站、微博、公众号、知乎(出海兜底:X、LinkedIn) |
| 内容类型 | 图文笔记、短视频脚本、长文、微博短博、thread、carousel | 图文笔记 |
| 主题 | 帖子主题或素材 | 一段文本或一篇文章的 URL |
| 目标 | 互动、引流、品牌、获客、种草、社区 | 互动 |
| 受众 | 关注者画像 | 一二线城市职场女性 |
| 调性 | 专业、轻松、犀利、种草、教育、励志 | 种草 |
| 素材 | 可用的图片、视频、数据 | 无 |
输出
为每个目标平台输出以下结构:
1. 平台帖子正文
[钩子首行]
[正文内容]
[CTA 行动引导]
[标签]
字符数:N / 平台上限
2. 互动策略
- 最佳发布时间
- 发布后跟进动作(回复评论、转发等)
- 跨平台联动计划
3. 视觉方向
- 配图/封面/配视频描述
- 小红书图文卡片组大纲(如适用)
- 短视频脚本钩子(如适用)
4. 变体
- 每个平台 2-3 个帖子变体,用于 A/B 测试或分日发布。
执行步骤
-
收集需求 — 从用户 prompt 提取上述输入字段。缺失字段时:有 Profile 则从中补全,无 Profile 则用通用默认值。
-
加载平台规范 — 根据目标平台,参照 platform-specs.md 获取字符限制、图片尺寸、发布时间、平台规则。
-
撰写钩子 — 参照公共源
skills/shared/references/hook-title-formulas.md,为每个平台选合适的钩子公式,写出首行。钩子决定 90% 的表现。 -
编排内容格式 — 参照 content-formats.md,按内容类型组织正文:
- 小红书图文笔记 → 封面钩子 + 卡片组大纲 + 正文
- 短视频脚本(抖音/B站/视频号)→ 钩子 + 正文 + CTA
- 公众号/知乎长文 → 标题 + 开头 + 分段主体 + 收尾
- 微博短博 → 140 字精华 + 话题
- 内容复用 → 从一稿拆解为多平台素材
- (出海兜底)X thread / LinkedIn carousel
-
添加标签 — 参照 hashtag-strategy.md,按平台规则选择话题层级和数量。
-
检查合规 — 字数用脚本校验,不靠肉眼数:把每个平台的正文喂给
python3 skills/shared/scripts/wordcount.py count(stdin 传入),读social_count(社媒计数口径 = 中文字符 + 英文单词 + 数字串 + 标点),与 platform-specs.md 的字符上限比对,超限就据结果压缩后重数(可交给text-condenser)。再规避违禁/限流词 (小红书/抖音尤其重要),确认话题数量符合平台规范,外链放置符合平台习惯。
What ships with it
4 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.
- 8d ago First seen · 126 lines · 172 tokens per session scan A 6daf1c20b2c6
social-content is a skill published in the GitHub repository ZJU-REAL/Easel (794 stars, last pushed yesterday), licensed Apache-2.0. It adds 172 tokens to every session and 1,772 once invoked, about $0.0009 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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