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tech-event-intelligence-engine

v1.0.1

自动采集未来科技技术类大会论坛展会信息,基于时间过滤和相关性评分,输出标准化情报日报并支持一键推送。

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Prompt PreviewInstall & Setup
Install the skill "tech-event-intelligence-engine" (boboy-j/tech-event-intelligence-engine) from ClawHub.
Skill page: https://clawhub.ai/boboy-j/tech-event-intelligence-engine
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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Purpose & Capability
The skill claims automatic multi-source web collection and one‑click pushing to enterprise channels (企微/飞书/邮件/日历). However, the package declares no required environment variables, API keys, or connectors for search APIs or push services. Requesting push/email/calendar integration without listing credentials or connector configuration is disproportionate and unexplained.
Instruction Scope
SKILL.md contains detailed, narrowly scoped runtime steps (time filtering, field extraction, scoring, de‑duplication, strict output template). It instructs calling search APIs and crawling '全网' sources, but does not specify which search endpoints, rate‑limits, or how to handle robots.txt/privacy. The strict 'do not fabricate' constraints are good, but lack of source/endpoints and crawler policy is an ambiguity to resolve.
Install Mechanism
Instruction‑only skill with no install spec and no code files — lowest install risk. Nothing is written to disk by the skill itself.
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Credentials
The skill describes pushing to enterprise WeChat/Feishu/email/calendar but declares no required environment variables or primary credential. That mismatch could indicate missing documentation (expected envs omitted) or an assumption that the platform will provide high‑privilege connectors — both warrant attention before granting tokens or running autonomously.
Persistence & Privilege
always=false and no install/auto‑enable behavior is declared. The skill does reference '每日自动调度', but scheduling likely depends on the platform; the skill itself does not request persistent or elevated system presence.
What to consider before installing
Before installing, verify where the skill will perform web searches and how it will push reports. Ask the publisher to: (1) list explicit search endpoints/APIs (e.g., Bing/Google/custom scrapers) and any required API keys; (2) declare which push connectors are used and the exact env vars/tokens needed for enterprise WeChat/Feishu/email/calendar; (3) explain scheduling behavior and whether the platform will run the skill periodically; (4) confirm crawler politeness (robots.txt, rate limits) and data‑privacy handling. Do not supply production or high‑privilege enterprise credentials until you confirm the above; instead test with limited/non‑privileged accounts or sandboxed tokens.

Like a lobster shell, security has layers — review code before you run it.

latestvk978ev6f7kj18w0641rvxqk27h853g2m
52downloads
0stars
1versions
Updated 1w ago
v1.0.1
MIT-0

📦 Skill: tech_event_intelligence_engine

📋 基础信息

  • Name: tech_event_intelligence_engine
  • Version: 1.1.0
  • Author: AI-Assistant
  • License: MIT
  • Description: 自动化采集全网科技/技术类大会、论坛、展会、交流会信息;严格限定仅检索未来活动,内置时间硬过滤、多维度相关性打分与去重引擎;输出标准化情报日报,支持企微/飞书/邮件/日历一键推送。
  • Tags: 技术情报, 活动订阅, 自动化搜索, 智能解析, 定时推送, 未来活动过滤, OpenClaw兼容
  • Compatibility: OpenClaw, Coze, Dify, LangChain, SkillHub
  • Runtime Config:
    • output_format: markdown
    • max_tokens: 30000
    • temperature: 0.3
    • stream: true

📥 输入参数 (Parameters)

参数名类型必填默认值说明
search_keywordsstring-搜索关键词组合(如:人工智能 大会 OR 论坛 OR 展会 OR 技术交流)
target_monthsstring-目标前瞻窗口(如:未来30天/2024-Q4/2025年上半年)
current_datestringauto任务执行基准日(格式 YYYY-MM-DD,平台自动注入或手动传入)
min_relevancenumber0.7最低相关性评分阈值(0-1,低于此值自动过滤)
push_channelstringmarkdown输出/推送格式偏好(markdown/json/summary_only)

🔄 执行指令 (Workflow Prompt)

请严格按以下步骤处理输入数据,禁止跳过或自行发挥:

Step 1:⏱️ 时间硬约束 + 多源初筛

  • 🕒 绝对时间过滤:以 {{current_date}} 为唯一基准,仅保留 start_date ≥ {{current_date}} 的未来活动。任何已举办、已过期、时间模糊或标注“待定”的活动直接丢弃,严禁进入后续流程。
  • 🔍 搜索侧时间拦截:调用搜索API时自动追加时间限定词(如 after:{{current_date}}upcoming2024/2025报名中即将开幕),从源头屏蔽历史归档内容。
  • 🧹 内容清洗:剔除纯营销广告、企业内部培训、非技术类聚会、纯产品发布会、无明确时间/地点的预告帖。

Step 2:核心字段智能抽取

  • 对每条有效活动提取:主办单位、活动主题、起止时间、举办地点(城市/场馆/线上平台)、核心议程/亮点、已公布嘉宾/出席企业、报名/参与链接。
  • 🛡️ 防幻觉约束:仅基于输入文本提取。若某字段原文未提及,必须标注 未公开待补充,严禁编造嘉宾名单、议程或虚报规模。
  • 📅 日期标准化:统一解析为 YYYY-MM-DD,自动区分线上/线下/混合模式。

Step 3:相关性打分与过滤排序

  • 基于以下维度计算相关性得分(0.0-1.0):
    • 主题契合度(AI/大数据/云计算/数字化/前沿科研/信创/出海):0.0-0.4
    • 信息完整度(含明确时间/地点/议程/报名方式):0.0-0.3
    • 权威性与规模(政府/头部企业/知名学术机构主办、有重磅嘉宾):0.0-0.2
    • 窗口适配度(落在 {{target_months}} 范围内得满分,超出窗口降权):0.0-0.1
  • 一票否决规则:若解析后 start_date < {{current_date}},强制 score=0 并剔除,不进入候选池。
  • 执行过滤:剔除得分 < {{min_relevance}} 的条目;合并同活动多源信息,保留最完整版本,其余标记去重。

Step 4:结构化日报生成

  • 按得分降序排列,保留 Top 15 精选活动。
  • 严格按下方 Markdown 模板输出,不得增删一级标题,确保排版适配移动端阅读与 Webhook 推送。
  • 若过滤后活动数不足3条,输出:📭 今日无符合时间窗与技术偏好的高匹配活动,建议放宽关键词或检查数据源。

📤 输出模板 (Output Schema)

请严格按以下 Markdown 结构输出,不得增删一级标题。内容必须按相关性降序排列,且所有活动日期均 > {{current_date}}:

🌐 今日技术活动情报精选 {{current_date}}

📌 仅推送举办时间 ≥ {{current_date}} 的未来活动,已自动去重 & 过滤过期/营销内容。共收录 {{count}} 场。

一、🔥 重点推荐(相关性 ≥0.85)

活动名称时间地点/形式核心亮点/嘉宾报名链接匹配度
...YYYY-MM-DD城市/线上...点击报名0.92

二、📅 近期值得关注(相关性 0.7-0.85)

活动名称时间地点/形式核心亮点/嘉宾报名链接匹配度
...YYYY-MM-DD城市/线上...点击报名0.78

三、⚙️ 情报处理说明

  • ⏱️ 时间基准:所有活动均严格 ≥ {{current_date}},已过期条目已拦截
  • 📊 覆盖源:公开活动平台/技术社区/主办方官网/学术日历(自动追加 after:{{current_date}} 过滤)
  • 🔄 更新策略:每日自动调度,支持 /skip [活动名] 标记降权,系统下次自动过滤
  • 📩 订阅调整:回复关键词可切换细分领域(如:仅大模型/仅信创/仅出海/仅线下)
  • 📅 日历同步:回复 /ics 可生成对应活动的订阅链接

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