Easel is an open-source content workspace and AI agent for managing social media from trend discovery through planning, content creation, publishing, and performance analysis. It is intended for social media creators and maintains separate account profiles, content projects, platform adaptations, and publishing records. The catalogue skills support these content and publishing workflows.
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 skill-data-trackergit 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-data-tracker)<a href="https://agentmods.dev/skills/zju-real/easel/skill-data-tracker"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-data-tracker/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/skill-data-tracker"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-data-tracker.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 | $0.00145 | $0.02220 |
| Opus 5.5 | $0.00058 | $0.00888 |
| Sonnet 5.5 | $0.00029 | $0.00444 |
| Haiku 4.5 | $0.00015 | $0.00222 |
Grade A, and why
skill-data-tracker 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 11d 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
社媒数据记录与趋势分析
记录社媒指标快照、分析粉丝增长趋势、追踪内容生命周期，用时间序列数据驱动运营决策。
数据层定位
本 SKILL 是归因链的粉丝 / 时序快照底座，唯一权威存储粉丝数、互动量、内容生命周期的时间序列快照（outputs/_analytics/snapshots/{profile}/{platform}/{date}.json）。
- 只存时序快照，不存发布事件 — 每次发布的元信息（标题 / 链接 / 类型 / 来源 SKILL）由
skill-publish-log维护（outputs/_analytics/publish-log.json）。本底座不重复记录发布事件，避免同一事实两处存储。 - 消费方（读，不回写） —
skill-publish-analytics模式 D（增长归因）与skill-social-performance-review（环比 / 粉丝趋势）以本快照为粉丝时序的权威来源。
| 底座 | 存什么 | 谁维护 |
|---|---|---|
outputs/_analytics/snapshots/{profile}/{platform}/{date}.json |
粉丝 / 互动时序快照（本 SKILL） | skill-data-tracker |
outputs/_analytics/publish-log.json |
发布事件 | skill-publish-log |
输入
| 字段 | 必填 | 说明 |
|---|---|---|
| mode | 是 | record / growth / lifecycle |
| platform | Mode A: 是 | 平台名（小红书/抖音/微博/B站/公众号等） |
| followers | Mode A: 是 | 当前粉丝数 |
| total_likes | Mode A: 否 | 总获赞数 |
| total_posts | Mode A: 否 | 总笔记/视频数 |
| post_snapshots | Mode A: 否 | 近期帖子的逐条数据（用于生命周期追踪） |
| post_title | Mode C: 是 | 要追踪的帖子标题或标识 |
| time_range | Mode B: 否 | 分析窗口（默认近 30 天） |
输出
Mode A — 记录快照
# 数据快照记录
- 日期: {date} | 平台: {platform} | Profile: {profile_name}
## 账号指标
| 指标 | 当前值 | 上次记录 | 变化 |
|------|--------|---------|------|
## 帖子快照（如有）
| 标题 | 发布日期 | 点赞 | 收藏 | 评论 | 转发 |
快照已保存至: outputs/_analytics/snapshots/{profile}/{platform}/{date}.json
Mode B — 增长趋势
# 增长趋势分析
- 平台: {platform} | 区间: {start} → {end} | 数据点: {count}
## 粉丝增长趋势
| 日期 | 粉丝数 | 日增长 | 日增长率 |
## 关键指标
- 日均/周均增长 | 趋势方向: 加速/稳定/减速
- 最高/最低单日增长
- 里程碑预测: 照此速度，{X} 天后破 {milestone} 粉
- 趋势洞察: {增长加速/减速原因分析与建议}
Mode C — 内容生命周期
# 内容生命周期分析
- 帖子: {post_title} | 发布: {published_at} | 平台: {platform}
## 生命周期数据
| 天数 | 日期 | 点赞 | 收藏 | 评论 | 转发 | 日增量 |
（Day 0 / 1 / 3 / 7 / 14 / 30 各行）
## 分类与洞察
- 类型: 速爆型/稳增型/长尾型 | 峰值日: Day {peak} | 半衰期: {days} 天
- 判定依据与后续策略启示
数据存储
快照文件路径：outputs/_analytics/snapshots/{profile}/{platform}/{date}.json
{
"date": "2026-07-22",
"platform": "xiaohongshu",
"profile": "科技数码达人",
"account_metrics": {
"followers": 5200,
"total_likes": 42000,
"total_posts": 89
},
"post_snapshots": [
{
"post_id": "用户提供或自动编号",
"title": "帖子标题",
"published_at": "2026-07-20",
"likes": 350,
"collects": 120,
"comments": 28,
"shares": 15
}
]
}
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.
- 11d ago Changed 53f58cc7d4ba
- 1mo ago First seen · 190 lines · 145 tokens per session scan A ecc48db697ae
skill-data-tracker is a skill published in the GitHub repository ZJU-REAL/Easel (4,032 stars, last pushed yesterday), licensed Apache-2.0. It adds 145 tokens to every session and 2,220 once invoked, about $0.0006 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 2026-08-30.
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