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-news-intelligencegit 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-news-intelligence)<a href="https://agentmods.dev/skills/zju-real/easel/skill-news-intelligence"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-news-intelligence/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-news-intelligence"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-news-intelligence.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 | $0.00104 | $0.01733 |
| Opus 5.5 | $0.00042 | $0.00693 |
| Sonnet 5.5 | $0.00021 | $0.00347 |
| Haiku 4.5 | $0.00010 | $0.00173 |
Grade A, and why
skill-news-intelligence 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
资讯情报聚合
从中文行业媒体与垂类资讯源抓取深度内容，按创作者赛道过滤， 生成结构化中文情报简报，并给出可操作的选题方向。
与 skill-trending-topics 的分工
| skill-trending-topics | skill-news-intelligence（本 SKILL） | |
|---|---|---|
| 抓什么 | 微博/抖音/知乎/头条/B站实时热搜榜 | 中文行业媒体的深度文章 / 快讯 |
| 时效 | 分钟级，追热点 | 日级，看行业趋势 |
| 用途 | 蹭热点、快速二创选题 | 深度选题、行业观察、内容储备 |
| 输出 | 热搜排行 + 二创角度 | 情报简报 + 选题方向 |
边界规则：本 SKILL 不抓热搜榜（那是 trending-topics 的职责）。 若用户要的是"今天有什么热搜/热点"，路由到 skill-trending-topics。 本 SKILL 处理"行业里最近发生了什么、有什么值得深挖的选题"。
输入
用户 prompt 中提供以下信息（全部可选）：
- 赛道/领域：自媒体运营 / 科技数码 / 商业财经 / AI / 时事话题（有 Profile 时自动提取）
- 关键词：如 "AI"、"融资"、"新消费"（用于过滤标题）
- 深度：快速浏览 / 深度分析（深度模式下载正文，默认快速）
- 数量：每源 5-15 条（默认 10）
输出
# 资讯情报简报
日期: {date} | 赛道: {track} | 信息源: {sources}
## 要闻速览
#### 1. [标题](url)
- **来源**: 源名（领域标签） | **时间**: 发布时间
- **摘要**: 一句话中文摘要
- **洞察**: 💡 背景 / 影响 / 与创作者的关系
## 选题方向
基于今日资讯，推荐 3-5 个可操作的选题：
1. {选题} — 切入角度 + 建议平台/形式
工作流
Step 1 — 选择信息源
按赛道选择源组合（源 key 见下表，或 --list-sources 查看）：
| 赛道 | 推荐源 |
|---|---|
| 自媒体/内容运营 | woshipm,huxiu,aihot |
| 科技数码 | sspai,geekpark,infoq_cn,36kr |
| 商业财经 | wallstreetcn,huxiu,tmtpost,36kr |
| AI | aihot,infoq_cn |
| 时事/话题素材 | thepaper,tencent,huxiu |
Step 2 — 抓取数据
python3 skills/builtin/skill-news-intelligence/scripts/fetch_news.py --source aihot,infoq_cn --limit 20 --keyword AI --no-save
参数：--source 源 key（逗号分隔，all 抓全部）；--limit 每源条数；
--keyword 关键词过滤（子串匹配，支持中文）；--deep 下载正文；--no-save 只输出 stdout。
Step 3 — 生成简报
读取 JSON，按「输出」格式生成中文简报。规则：
- 语言：全部简体中文，保留知名英文专有名词
- 反幻觉：只使用 JSON 中的数据，不编造资讯；时间缺失标"未知时间"
- 赛道过滤：有 Profile/赛道时，优先与赛道相关的条目
- 选题方向：末尾基于资讯给出 3-5 个可操作选题（切入角度 + 建议平台/形式）
- smart_fill 标记：标
smart_fill的条目是关键词不足时的宽泛补充，注明"相关度较低"
Step 4 — 保存产物
简报保存到 outputs/资讯简报/news-briefing-{date}.md。
每日简报模式
一键生成预设赛道简报：
python3 skills/builtin/skill-news-intelligence/scripts/daily_briefing.py --profile tech_digital --no-save
| Profile | 用途 | 包含源 |
|---|---|---|
creator |
创作者情报日报 | 人人都是产品经理 + 虎嗅 + 36氪 + AIHOT |
tech_digital |
科技数码日报 | 少数派 + 极客公园 + 36氪 + 钛媒体 + InfoQ |
business |
商业财经日报 | 华尔街见闻 + 虎嗅 + 钛媒体 + 36氪 |
ai |
AI 资讯日报 | AIHOT + InfoQ |
topics |
话题素材日报 | 澎湃 + 腾讯新闻 + 虎嗅 |
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 Changed c5251b8ef841
- 14d ago Changed 4591f01e193e
- 1mo ago First seen · 143 lines · 104 tokens per session scan A b013d89ecd3a
skill-news-intelligence is a skill published in the GitHub repository ZJU-REAL/Easel (4,115 stars, last pushed 2d ago), licensed Apache-2.0. It adds 104 tokens to every session and 1,733 once invoked, about $0.0004 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 2026-09-03.
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