技能 prospecting

📦

prospecting

Name: prospecting
Author: coreyhaines31

v1.1.0 內容修訂 r1 安全 🌐 網路存取📁 檔案系統存取⚙️ 外部命令

Build Qualified Prospect Lists

Unfocused lead research produces stale contacts and weak matches. This skill defines an ICP, verifies evidence, scores prospects, and applies outreach compliance safeguards.

支援: Claude Codex Code(CC)

🥉 79 銅級

Maintain this Skill? Claim it 🥉 79 銅級

使用我的智慧代理安裝

將此請求複製給你的智慧代理，其中包含權威 Skill 頁面和清單。

智能體請求

Review the Skillstore skill "prospecting" from https://skillstore.io/skills/coreyhaines31-prospecting.md and its manifest at https://skillstore.io/api/skills/coreyhaines31-prospecting/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

你的智慧代理仍應顯示其計畫，並依安全政策請求必要確認。

Agent 可讀資源

當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時，請使用這些連結。

Markdown 詳情 GET /skills/coreyhaines31-prospecting.md 已簽名 manifest GET /api/skills/coreyhaines31-prospecting/manifest 已簽名 lockfile GET /api/skills/coreyhaines31-prospecting/lockfile

測試它

正在使用「prospecting」。 Find 15 Austin fitness studios that may need a better website.

預期結果:

A lead table with business, area, website status, public contact channel, source, confidence, and qualification reason.
Three priority targets supported by recent activity and verified website gaps.
Open questions for records that need manual confirmation.

正在使用「prospecting」。 Find recent Series B companies using HubSpot and hiring RevOps leaders.

預期結果:

A ranked SaaS account list with funding dates, technology evidence, hiring signals, decision-makers, and source dates.
Confidence labels that separate verified facts from incomplete provider data.
A short list of top outreach targets with evidence-based timing reasons.

正在使用「prospecting」。 Find ten potential design partners experiencing failed-payment follow-up problems.

預期結果:

An evidence report linking each prospect to a recent public professional problem signal.
Demand-fit scores covering pain, product fit, timing, reachability, and evidence quality.
A seven-day manual validation plan with source-based outreach drafts.

安全審計

安全

v1 • 2026/8/11 開啟版本化報告

All 50 static alerts are false positives: traversal sequences are relative Markdown links, and shell markers are documentation formatting. The remaining alerts are benign prospecting, validation, pricing, and compliance prose; no prompt injection or malicious intent was found.

已掃描檔案

1,325

分析行數

複核項目

已忽略的誤報

最近一次完成的靜態與語意稽核未偵測到已確認的安全發現。這並不能證明該 Skill 沒有副作用。

審計單位: codex

分享與引用此報告

分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據，不判斷該 Skill 是否安全。

開啟版本化報告

複製報告連結

https://skillstore.io/skills/coreyhaines31-prospecting/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 徽章

[![Skillstore security assessment](https://skillstore.io/badges/skills/coreyhaines31-prospecting/security.svg)](https://skillstore.io/skills/coreyhaines31-prospecting?utm_source=security_passport_badge)

HTML 徽章

<a href="https://skillstore.io/skills/coreyhaines31-prospecting?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/coreyhaines31-prospecting/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

嵌入卡片

<iframe src="https://skillstore.io/embed/skills/coreyhaines31-prospecting.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

學術引用 (APA · BibTeX · CFF)

APA 引用

coreyhaines31. (2026). prospecting security audit report (audit version 1) [Author version 1.1.0]. Skillstore. https://skillstore.io/skills/coreyhaines31-prospecting/audits/1

BibTeX 引用

@techreport{coreyhaines31-coreyhaines31-prospecting-2026,
  author = {coreyhaines31},
  title = {prospecting security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/coreyhaines31-prospecting/audits/1},
  note = {Author version 1.1.0}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "prospecting security audit report (audit version 1)"
version: "1.1.0"
type: report
authors:
  - name: "coreyhaines31"
date-released: "2026-08-11"
url: "https://skillstore.io/skills/coreyhaines31-prospecting/audits/1"
identifiers:
  - type: other
    value: "skillstore:coreyhaines31-prospecting:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore 評分

評分依據證據置信度: 中

架構

100

可維護性

內容

社群

100

規範符合度

你可以打造什麼

Prioritize SaaS accounts

Build a verified account list using funding, technology, hiring, and decision-maker signals.

Find local service prospects

Research active nearby businesses and classify their website presence without bulk platform scraping.

Discover first customers

Find recent public problem signals, score demand fit, and prepare a manual validation plan.

試試這些提示

Define my prospect profile

Define an ICP for [product] sold to [market]. Ask for missing geography, company size, buying signals, decision-makers, and disqualifiers.

Build a focused lead list

Build a list of [count] [SaaS/B2B/local] prospects matching [criteria]. Use my available tools: [tools]. Cite sources and show confidence.

Qualify an existing list

Qualify these prospects against [ICP]. Verify firmographic fit, recent buying signals, contact status, source dates, duplicates, and disqualifiers. Rank the strongest targets.

Run demand-signal discovery

Find [count] potential first customers for [product]. Use recent public professional signals, cite original sources, score demand fit, and draft manual outreach openers.

最佳實務

Define pass, fail, and disqualification criteria before collecting candidates.
Cross-check important claims and record every source URL with its verification date.
Validate email deliverability and confirm lawful use before handing contacts to outreach.

避免

Do not bulk scrape LinkedIn, Google Maps, Yelp, gated communities, or protected platforms.
Do not label a prospect as interested without a cited and current demand signal.
Do not use leaked data, private contact details, or sensitive personal traits for targeting.