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Agent Skill · 研究检索

semantic-prospect(语义前景)

semantic-prospect 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。

semantic-prospect 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 13,241。

总安装 9,549周安装 406GitHub Stars 公开资料未说明下载 3,345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
1.0.1

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:semantic-prospect(语义前景)
来源仓库:https://github.com/simplysemantics/semantic-prospect
安装命令:
openclaw skills install semantic-prospect
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 semantic-prospect

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。

挖掘网络社区与论坛中的高意图商业线索。结合语义分析识别潜在客户与市场需求信号。适用于销售线索拓展与商机发现。semantic-prospect 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装命令:openclaw skills install semantic-prospect。

需设置过滤规则以避免噪声干扰。

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 semantic-prospect;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

semantic-prospect 怎么安装?

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

semantic-prospect 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。

semantic-prospect 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。

semantic-prospect 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。

semantic-prospect 用的人多吗?

公开数据是累计安装 9,549 次,近一周安装 406 次,下载 3,345 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。

semantic-prospect 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
semantic-prospect

语义前景 · 本页

9,549—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
semantic-prospect
version
1.0.0
description
AI-powered semantic lead prospecting – discovers, qualifies, and enriches high-intent business opportunities from web communities, forums, Reddit, and public discussions. Returns prioritized prospect records with intent scores, context notes, and agent-ready actions. Free tier includes Brave Search and LLM queries — no third-party API keys needed. Lightweight SaaS component from Simply Semantics for sales bots, AI agents, enrichment, and outbound workflows.
tags
["semantic", "prospecting", "lead-generation", "sales", "enrichment", "ai-agent", "intent-detection", "saas-component", "brave-search", "llm"]
homepage
https://www.simplysemantics.com/semantic-prospect.html
author
Simply Semantics (@simplysemantics)
license
MIT
requires
env
required
true
description
Your Semantic Prospect API key. Generated when you create an account at https://dashboard.simplysemantics.com/sp/. This key authenticates your requests — it is scoped to your account and does not grant access to any other service.
metadata
clawbot
emoji
🔍💼
requires
env
["SIMPLY_SEMANTICS_API_KEY"]
primaryEnv
SIMPLY_SEMANTICS_API_KEY
files
[]

Semantic Prospect

Quick summary AI semantically understands context across web sources (Reddit, forums, communities, public discussions) to identify high-intent prospects with real buying signals. It qualifies, scores, enriches, and organizes leads into action-ready records — perfect for sales teams, SaaS companies, consultants, course creators, and especially AI agents/bots that can autonomously nurture and convert.

Authentication

SIMPLY_SEMANTICS_API_KEY is always required. This is your personal API key generated when you create an account at https://dashboard.simplysemantics.com/sp/. It authenticates your requests and is scoped to your Semantic Prospect account only — it does not grant access to any other Simply Semantics service or any third-party system.

What "no configuration required" means: You do NOT need to supply third-party search API keys (Brave, Perplexity, xAI, etc.) to use the free tier. The platform provides its own search keys for free-tier queries. You only need your SIMPLY_SEMANTICS_API_KEY for authentication.

Optionally, you can add your own Brave Search or LLM API keys in the dashboard to bypass free-tier limits.

Free tier limits

  • Weekly free searches: 10 per week (shared across Brave Search and LLM when using platform-provided keys)
  • LLM free queries: 5 total (limited to 3 results per query)
  • Monthly lead quota: 50 leads
  • Add your own Brave or LLM API key via the dashboard to bypass weekly limits and get up to 10 results per LLM query

Privacy & data handling

  • Data sources: All leads are discovered from publicly accessible web content only (public forums, Reddit, community boards). No private data, no login-walled content, no PII databases are accessed.
  • Data retention: Leads are stored in your account for your review and export. They are not shared with other users or third parties.
  • No credential collection: The platform never reads, collects, or stores your third-party API keys on the server side. If you add your own Brave or LLM key in the dashboard, it is stored encrypted in your account's strategy configuration and used only to make search requests on your behalf.
  • No cross-service data sharing: Your Semantic Prospect data is isolated to your account. It is not shared with other Simply Semantics services (e.g. Semantic Shield).
  • Compliance: Users are responsible for ensuring their use of lead data complies with each source community's terms of service. Semantic Prospect only surfaces publicly available information.

When to use this skill (activation triggers)

Activate Semantic Prospect when the user:

  • Wants to find qualified leads/opportunities in specific industries, topics, keywords, or communities.
  • Asks to "discover prospects", "find high-intent leads", "qualify opportunities", "scan communities for buyers", "build targeted list from Reddit/forums", "identify pain-point discussions".
  • Provides targeting criteria (e.g. keywords, industry, location filters) and wants semantic/intent-based results.
  • Needs enriched prospect data for outbound, enrichment, or agent handoff.

Do NOT use for:

  • Generic web search or scraping (use browser tools)
  • PII-heavy or non-public data lookup
  • Real-time monitoring of private channels
  • Non-business/opportunity focused queries (e.g. news, memes)

How to use (instructions for the agent)

  1. Extract targeting criteria — Pull from user message:

- Keywords/topics (e.g. "compliance tools", "Series B fintech") - Industries/verticals - Communities/sources (Reddit subs, forums, niche boards) - Filters (location, engagement level, intent signals) - Optional: custom qualification rules or ICP description

  1. Validate — If missing core criteria (keywords or industry/topic) → ask: "Please specify keywords, industry, or communities to prospect in."
  1. Call the API — POST to the Semantic Prospect endpoint.

URL: https://dashboard.simplysemantics.com/sp/mcp/forum-leads-api

Headers:

   x-api-key: ${SIMPLY_SEMANTICS_API_KEY}
   Content-Type: application/json
⚠️ IMPORTANT: Default strategy is mock (test data) New accounts default to the mock strategy, which returns fake sample leads for testing purposes only. Mock leads contain synthetic data — no real users, URLs, or contact information. They are safe to inspect. You must explicitly set "strategy": "brave" or "strategy": "llm" in the request body to get real results. The user can also change their default strategy in the dashboard under Search Strategies → "Set as Default", but when calling via API, always pass the strategy field explicitly. If the response contains "is_mock": true or "search_strategy": "mock", the results are test data — not real leads.

Example: Mock / Testing (fake sample data — DEFAULT for new accounts)

{
  "niche": "marketing",
  "keywords": ["test"]
}

Omitting "strategy" uses the user's default, which is mock for new accounts. Returns synthetic test leads with "is_mock": true. Mock data contains no real personal information — it is safe for testing and integration validation.

Example: LLM Web Search (real AI-powered results)

{
  "niche": "marketing",
  "nicheLabel": "Digital Marketing Services",
  "keywords": ["SEO help", "Google ranking", "social media manager"],
  "strategy": "llm"
}

Free tier: 5 LLM queries (3 results each), counts toward 10 weekly free searches. No third-party API key setup needed — the platform provides its own.

Example: Brave Search (real web search results)

{
  "niche": "fitness",
  "nicheLabel": "Personal Training & Fitness",
  "keywords": ["need personal trainer", "looking for fitness coach"],
  "strategy": "brave"
}

Free tier: counts toward 10 weekly free searches. No third-party API key setup needed — the platform provides its own.

Request body fields

FieldTypeRequiredDescription
nichestringnoTarget niche key (default: "marketing")
nicheLabelstringnoDisplay name for the niche
keywordsstring[]noSearch keywords
strategystringno"llm", "brave", or "mock". Defaults to user's preferred strategy (mock for new accounts). Always pass explicitly for real results.

Output

{
  "leads": [
    {
      "url": "https://www.reddit.com/r/smallbusiness/comments/abc123",
      "poster_username": "auto_shop_owner",
      "intent_summary": "Running an auto repair shop with paper invoices, need affordable shop management software",
      "lead_score": 88,
      "contact_hint": "Comparing tools, budget up to $200/month, ready to buy",
      "source_forum": "reddit.com",
      "is_mock": false,
      "search_strategy": "llm",
      "search_rank": 1,
      "niche": "marketing"
    }
  ],
  "strategy": "llm",
  "free_tier": {
    "maxResults": 3
  }
}

Notes on the response:

  • search_strategy — which engine found the lead: brave, llm, or mock
  • is_mock — true when mock/test strategy was used; these are NOT real leads
  • free_tier — only present when LLM free tier was used; maxResults indicates the cap on results per query
  • search_rank — position in the raw search results before scoring
  1. Parse & format — Transform response into clean report for the user.

- If is_mock is true on any lead, warn the user that results are test data and they should set strategy to "llm" or "brave" for real leads.

  1. Edge cases
  • 401/403 → "Missing or invalid SIMPLY_SEMANTICS_API_KEY. Set the env var to use this skill."
  • 429 → "Rate limit reached (monthly quota, weekly free searches, or LLM free queries exhausted). Retry later, add your own API key, or contact info@simplysemantics.com"
  • No results → "No high-intent matches found with current criteria. Try broadening keywords or sources."
  • Error → fallback polite message + suggest refining input

平台分布

OpenClaw

76.68%
按下载量换算2,565

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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