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Agent Skill · 研究检索

exhibitor-show-history(参展商展会历史)

exhibitor-show-history 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

exhibitor-show-history 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 27,707。

总安装 3,345周安装 138GitHub Stars 公开资料未说明下载 1,093核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:exhibitor-show-history(参展商展会历史)
来源仓库:https://github.com/weilun88313/exhibitor-show-history
安装命令:
openclaw skills install exhibitor-show-history
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install exhibitor-show-history

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

利用 Lensmor API 查询公司参与过的全部贸易展会。适合竞争情报收集、客户画像构建或展会路线规划时使用。需在 OpenClaw 中通过 clawhub 安装,输入公司名称后检索历史记录。建议评估是否涉及商业数据接口访问权限与隐私合规边界。适用于 B2B 市场分析与潜在客户行为研究场景。

exhibitor-show-history 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install exhibitor-show-history;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

exhibitor-show-history 怎么安装?

在终端执行 openclaw skills install exhibitor-show-history。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

exhibitor-show-history 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

exhibitor-show-history 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

exhibitor-show-history 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

exhibitor-show-history 用的人多吗?

公开数据是累计安装 3,345 次,近一周安装 138 次,下载 1,093 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

exhibitor-show-history 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
exhibitor-show-history

参展商展会历史 · 本页

3,345—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
exhibitor-show-history
version
1.0.0
description
Find every trade show a company has exhibited at using the Lensmor API — for competitive intel, account research, or show circuit mapping. \"Which shows has this company exhibited at?\" / \"这家公司参加过哪些展会\" / \"Auf welchen Messen war dieses Unternehmen?\" / \"この会社はどの展示会に出展した?\" / \"¿En qué ferias participó esta empresa?\". company show history, exhibitor history, competitor shows, 参展历史/展会记录/竞品展会 Messehistorie Messepräsenz 出展履歴 historial ferial
homepage
https://github.com/LensmorOfficial/trade-show-skills/tree/main/exhibitor-show-history
user-invocable
true
metadata
{"openclaw":{"config":{"stage":"pre-show","category":"research","emoji":"🗂️"},"requires":{"env":["LENSMOR_API_KEY"]},"primaryEnv":"LENSMOR_API_KEY"}}

Exhibitor Show History

Given a company name or website, look up every trade show they've exhibited at — so you can map their show circuit, plan competitive counter-programming, or time your outreach around their next event.

When this skill triggers:

  • Run the API key check (Step 1) before any API call
  • Accept a company name, domain, or URL as the primary identifier
  • Return a dated, sortable list of trade shows with booth and location context
  • Hand off to trade-show-fit-score or trade-show-lead-recommender for next steps

Use Cases

  • Competitive mapping: Find which shows your competitors are investing in year over year
  • Account intelligence: Know when a target prospect will be on the show floor so you can plan pre-show outreach
  • Show circuit analysis: Identify which events a segment of companies repeatedly attends (cluster analysis)
  • Partnership sourcing: Find potential partners sharing your show circuit

Workflow

Step 1: API Key Check

Before making any API call, verify the key is configured:

[ -n "$LENSMOR_API_KEY" ] && echo "ok" || echo "missing"

If the result is missing, stop and respond:

The LENSMOR_API_KEY environment variable is not set. This skill requires a Lensmor API key to look up exhibitor show history. Contact hello@lensmor.com to purchase access, then set the key: export LENSMOR_API_KEY=your_key_here

Do not proceed to any API call until the key is confirmed present.

Step 2: Collect Inputs

Required (at least one):

  • company_url — the company's website (e.g. https://acme.com). Preferred over name when available — more precise.
  • company_name — full or partial company name (e.g. Siemens, OperaOps)

Optional:

  • year — filter to a specific year (e.g. 2025). Omit to return all available history.
  • page — page number (default: 1)
  • pageSize — results per page (default: 20, max: 100)

If the user provides a company but it matches multiple entities (e.g. a common name), surface the top matches and ask for confirmation before returning history.

Step 3: Call the API

Endpoint: POST https://platform.lensmor.com/external/exhibitors/events

Authentication: Authorization: Bearer $LENSMOR_API_KEY

Request body with company_url:

{
  "company_url": "https://siemens.com",
  "page": 1,
  "pageSize": 20
}

Request body with company_name and year filter:

{
  "company_name": "Siemens",
  "year": 2025,
  "page": 1,
  "pageSize": 20
}

Step 4: Interpret the Response

Response envelope:

{
  "company": {
    "name": "Siemens AG",
    "domain": "siemens.com",
    "industry": "Industrial Automation",
    "employeeCount": 320000,
    "linkedinUrl": "https://www.linkedin.com/company/siemens"
  },
  "items": [
    {
      "id": "evt_hannovermesse_2025",
      "name": "Hannover Messe 2025",
      "dates": "March 31 – April 4, 2025",
      "location": "Hannover, Germany",
      "industry": "Industrial Automation",
      "website": "https://www.hannovermesse.de",
      "boothInfo": "Hall 9, Stand A12",
      "year": 2025
    }
  ],
  "total": 47,
  "page": 1,
  "pageSize": 20,
  "totalPages": 3
}

Field reference:

FieldTypeDescription
company.namestringResolved company display name
company.domainstringPrimary domain
company.industrystringTop-level industry classification
company.employeeCountnumberApproximate headcount
company.linkedinUrlstringLinkedIn company page — for further research
items[].idstringLensmor event ID — use with trade-show-fit-score
items[].namestringOfficial show name
items[].datesstringShow date range
items[].locationstringCity and country
items[].industrystringPrimary industry theme of the show
items[].websitestringOfficial show website
items[].boothInfostringHall and stand number, if available
items[].yearnumberYear of participation

Step 5: Format the Output

Open with a company summary card, then a chronological show history table.

## Show History — [Company Name]

**Company**: [Name] ([domain](https://domain.com)) | [Industry] | [Employee count] employees
**LinkedIn**: [LinkedIn](linkedinUrl)
**Total shows found**: [total] across all available history

---

| Year | Show | Dates | Location | Booth | Industry |
|------|------|-------|----------|-------|----------|
| 2025 | [Hannover Messe 2025](https://hannovermesse.de) | Mar 31–Apr 4 | Hannover, DE | Hall 9, A12 | Industrial Automation |
| 2025 | [SPS 2025](https://sps.mesago.com) | Nov 18–20 | Nuremberg, DE | — | Automation |
| 2024 | [Hannover Messe 2024](https://hannovermesse.de) | Apr 22–26 | Hannover, DE | Hall 9, B07 | Industrial Automation |

_(Showing [pageSize] of [total] shows. Page [page] of [totalPages].)_

### Patterns
- **Show frequency**: [recurring shows, e.g. "Hannover Messe every year since 2019"]
- **Primary regions**: [inferred from locations, e.g. "DACH-focused, occasional NA shows"]
- **Industry focus**: [inferred from show themes, e.g. "Industrial automation + smart manufacturing"]

If boothInfo is null, show — — do not fabricate a booth number.

Sort order: most recent year first within each year, alphabetical by show name.

Error Handling

HTTP StatusMeaningResponse
401API key invalid or expired"The API key was rejected. Verify LENSMOR_API_KEY or contact hello@lensmor.com."
400Missing required parameter"Provide either company_url or company_name to look up show history."
404Company not found"No company matching [input] was found in the Lensmor database. Try a different spelling or use the full domain URL."
429Rate limit exceeded"Rate limit reached. Wait 60 seconds and retry."
502 / 5xxServer error"The Lensmor API returned a server error. Try again in a moment."
Empty itemsNo history"No show history found for [company]. The company may not be in Lensmor's exhibitor database, or may not have exhibited at indexed shows yet."

Follow-up Routing

OutcomeRecommended next action
User wants to exhibit at one of the showsRun trade-show-fit-score with the event ID from the results
User wants to find contacts at this companyRun trade-show-contact-finder with the company name
User wants to find other companies on the same show circuitRun trade-show-exhibitor-search with those event IDs
User wants to plan outreach before the next showRun booth-invitation-writer or trade-show-contact-finder
Results show a pattern worth acting onRun trade-show-lead-recommender to find more companies in the same circuit

Output Rules

  1. All URLs formatted as [text](url) — never bare links
  2. Never output the value of LENSMOR_API_KEY
  3. Never expose endpoint paths, raw curl commands, or internal token values in the response
  4. Employee counts above 1,000 shown as "1.2K"; above 1,000,000 as "1.2M"
  5. Empty results: report honestly and suggest alternative inputs — never fabricate show history
  6. End every response with 1–3 contextual follow-up suggestions
  7. Sort results most recent first; summarize repeating shows as frequency patterns
  8. When totalPages > 1, prompt: "There are more shows in history — say 'next page' to continue."
  9. If API key is missing, direct user to hello@lensmor.com — do not just say "please configure"
  10. If boothInfo is null, show — in the table — do not infer or fabricate booth numbers

Quality Checks

Before delivering:

  • Confirm the company identity from company.name and company.domain in the response — surface ambiguity if the resolved company does not match the user's intent
  • Do not infer show frequency patterns unless at least 2 data points confirm it
  • If only company_name was provided and the name is ambiguous (e.g. "Samsung"), surface the matched company before displaying history
  • If year filter is applied, note it explicitly in the output header so the user knows results are scoped
  • Pagination: if totalPages > 1, prompt the user whether to fetch additional pages

*Show history and exhibitor footprints sourced from the Lensmor platform. For pre-show lead discovery, ICP matching, and competitive intelligence at trade shows, see Lensmor.*

平台分布

OpenClaw

91.9%
按下载量换算1,004

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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