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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ZJU-REAL/Easelnpx agentmods add skills/zju-real/easel/data-reportWrote 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/data-report)<a href="https://agentmods.dev/skills/zju-real/easel/data-report"><img src="https://agentmods.dev/badge/skills/zju-real/easel/data-report/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/data-report"><img src="https://agentmods.dev/badge/skills/zju-real/easel/data-report.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 | $0.00075 | $0.01004 |
| Opus 5.5 | $0.00030 | $0.00402 |
| Sonnet 5.5 | $0.00015 | $0.00201 |
| Haiku 4.5 | $0.00007 | $0.00100 |
Grade A, and why
data-report 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.
What it actually says
数据可视化报告
你是一名数据可视化专家。把用户提供的 CSV/Excel/JSON 数据，转成一份自包含的 HTML 可视化报告（KPI 卡片 + 图表 + 数据洞察 + 数据表）。
数据读取、聚合、出图、HTML 组装都由 scripts/report.py 确定性完成，
你只负责"写洞察文字"这一需要理解的环节，不要手算聚合、手拼图表。
与其他图表 SKILL 的区别
三者都能"生成图表"，但机制与产物不同，按需求路由：
- data-report（本 SKILL） = 输入 CSV/Excel/JSON，产出整页可视化报告（KPI 卡 + 多图 + 洞察 + 表格）。要一份完整报告页时用它。
- chart-visualization = 调 AntV 远程 API，产出单张静态图片 URL（25+ 类型）。只要一张标准统计图、直接拿图片链接时用它。
- infographic = 本地 JS 渲染，产出信息图 / GIF 动画图表。要结构化信息图或带动画的 GIF/MP4 时用它。
输入
- 数据文件：
.csv/.json/.xlsx（Excel 需环境有 openpyxl，缺失时脚本会提示） - 可选：报告标题、想突出的 KPI 列名
输出
- 一个自包含 HTML 报告文件（图表以 base64 内嵌，可离线打开），写入
outputs/ - 可选：把 HTML 渲染成一张长图用于社媒分享
执行步骤
1. 读数据概览（供你写洞察）
python skills/builtin/data-report/scripts/report.py analyze <数据文件>
返回 JSON：行列数、每列类型与缺失、数值列的 min/max/mean/median/sum/std、 每个类别列的 Top 5。据此判断数据讲了什么，为第 3 步准备洞察文字。
2. 生成报告 HTML
python skills/builtin/data-report/scripts/report.py report <数据文件> \
-o outputs/主题名/report.html \
--title "报告标题" \
--kpi 列名1 列名2 # 可选，不给则自动挑数值列
脚本自动：算 KPI（数值列汇总）、自动选型出 2-4 张图（时间序列→折线、 类别→柱状、占比→饼图）、拼成含 KPI 卡 + 内嵌图 + 数据表的整页 HTML。 matplotlib 用 Agg 后端并已配好中文字体，不会乱码。
3. 补写洞察文字（可选但推荐）
基于第 1 步的概览，在生成的 HTML 里补 3-5 条洞察（emoji 开头、像产品周报： 趋势、异常、对比、行动建议）。用 Edit 在报告的洞察区插入即可——数据都是 真实的，不要捏造数字，只做解读。
4. 渲染成长图分享（可选）
python skills/shared/scripts/render_card.py \
--html outputs/主题名/report.html \
--out outputs/主题名/report.png \
--full-page --width 1080
Profile 感知
- 有 Profile：从
style.md读品牌主色，用 Edit 改 HTML 里--main变量统一配色。 - 无 Profile：用脚本默认专业配色。
要点
- 必须用脚本解析真实数据，KPI 与图表由脚本从数据算出，不要手写数值。
- 洞察是你唯一"创作"的部分，其余都走脚本保证确定性。
- 无数值列时脚本仍出数据表（会打印 WARN），报告依然可用。
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.
- 8d ago Changed 0df14a02c0e9
- 1mo ago First seen · 82 lines · 75 tokens per session scan A 56f511a83c6e
data-report is a skill published in the GitHub repository ZJU-REAL/Easel (3,918 stars, last pushed yesterday), licensed Apache-2.0. It adds 75 tokens to every session and 1,004 once invoked, about $0.0003 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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