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 agentmods add skills/zju-real/easel/skill-cross-platform-diffnpx skills add ZJU-REAL/Easel --skill skill-cross-platform-diffgit 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/skill-cross-platform-diff)<a href="https://agentmods.dev/skills/zju-real/easel/skill-cross-platform-diff"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-cross-platform-diff.svg" alt="Measured on agentmods" 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 | $0.00179 | $0.01890 |
| Opus 5 | $0.00089 | $0.00945 |
| Sonnet 5 | $0.00036 | $0.00378 |
| Haiku 4.5 | $0.00018 | $0.00189 |
Grade A, and why
skill-cross-platform-diff 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 5d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
跨平台内容差异分析
分析同一话题在不同中文社媒平台的呈现差异,输出平台适配策略。
输入
| 字段 | 必填 | 说明 |
|---|---|---|
| 话题/内容主题 | 是 | 要分析的话题、关键词或一段内容 |
| 目标平台 | 推荐 | 要对比的平台列表(默认全平台扫描) |
| 分析目的 | 推荐 | "我想把这个内容发到各平台" / "想了解平台差异" / "选择主攻平台" |
| 已有内容 | 可选 | 如果用户已有某平台的内容,可作为对比基准 |
| 赛道 / 行业 | 可选 | 不同赛道在各平台的差异可能不同 |
支持的平台:小红书、抖音、B站、知乎、微博、公众号、视频号、X/Twitter、快手。
输出
# 跨平台差异分析:[话题/主题]
## 分析概要
- 分析话题:[话题]
- 对比平台:[平台列表]
- 分析时间:[日期]
## 平台差异全景
### 对比矩阵
| 维度 | 小红书 | 抖音 | B站 | 知乎 | 微博 | 公众号 |
|------|--------|------|-----|------|------|--------|
| 主力内容形式 | | | | | | |
| 核心受众画像 | | | | | | |
| 话语体系/语气 | | | | | | |
| 流量分发逻辑 | | | | | | |
| 内容生命周期 | | | | | | |
| 变现路径 | | | | | | |
| 该话题适配度 | | | | | | |
### 平台逐一分析
#### [平台名]
- **该话题在此平台的典型呈现**:内容形式、风格、角度
- **受众期待**:这个平台的用户看到这个话题时期待什么
- **话语体系**:用词习惯、语气、表达方式
- **流量逻辑**:该话题如何获取流量(搜索 / 推荐 / 社交传播)
- **成功案例特征**:该话题在此平台表现好的内容有什么共性
- **避坑指南**:该话题在此平台容易踩的坑
- **变现可能**:该话题在此平台的商业化路径
(每个目标平台各一节)
## 核心差异洞察
1. [最重要的跨平台差异发现]
2. [第二重要的发现]
3. ...
## 平台选择建议
- **主攻推荐**:[最适合的 1-2 个平台 + 原因]
- **辅助布局**:[值得同步运营的平台 + 策略]
- **不推荐**:[不适合的平台 + 原因]
## 适配策略
针对每个推荐平台,给出从"原始内容"到"平台适配内容"的转化要点:
- 标题改写方向
- 内容结构调整
- 语气和用词转换
- 格式和长度要求
- 标签/话题策略
- 发布时间建议
## 注意事项
- 平台规则和算法变化的时效性说明
- 分析依据(平台公开信息 + 行业认知)
执行步骤
-
明确分析范围
- 确认话题/主题和目标平台
- 若用户未指定平台,默认分析主流 6 个平台:小红书、抖音、B站、知乎、微博、公众号
- 确认分析目的(了解差异 / 选平台 / 做适配)
-
加载平台知识
- 读取
references/platform-traits.md获取各平台基础特征 - 这是底层知识,不直接输出,用于支撑分析
- 读取
-
话题-平台交叉分析
- 对每个目标平台,分析该话题在此平台的适配情况:
- 内容形式:该话题在此平台通常以什么形式呈现(图文 / 短视频 / 长视频 / 问答 / 文章)
- 受众期待:此平台用户看到这个话题时想获得什么(知识 / 娱乐 / 种草 / 讨论 / 共鸣)
- 话语体系:此平台讨论这个话题的用词、语气、风格
- 流量来源:该话题在此平台主要通过什么渠道获取流量
- 对每个目标平台,分析该话题在此平台的适配情况:
-
差异提取
- 做平台间横向对比,识别关键差异点
- 重点关注:同一话题在不同平台的"信息需求差异"(同一个关键词,用户在知乎搜和在小红书搜的目的完全不同)
- 总结差异规律(如"越深度的平台越需要论据,越碎片的平台越需要情绪")
-
适配度评估
- 结合话题特性和平台特征,给出各平台的适配度评级
- 评估维度:内容天然匹配度、竞争饱和度、变现可行性、运营成本
- 给出主攻/辅助/不推荐的分层建议
适配度评分(每项 1-5 分)
维度 1 分 3 分 5 分 内容匹配 该话题在此平台几乎无人关注 有一定受众但非主流 该平台此类内容流量大、互动高 竞争饱和 头部账号垄断,新人几乎无机会 有竞争但仍可差异化 内容稀缺,供不应求 变现可行 该平台此类内容无商业模式 可接广告但品牌少 品牌方活跃,变现路径清晰 运营成本 需要持续高频更新+运营互动 中等运营投入 内容长尾效应强,运营压力小
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.
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.
- 5d ago First seen · 149 lines · 179 tokens per session scan A e33aaa2de4ea
skill-cross-platform-diff is a skill published in the GitHub repository ZJU-REAL/Easel (352 stars, last pushed yesterday), licensed Apache-2.0. It adds 179 tokens to every session and 1,890 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 2026-08-30.
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