geo-prospect

geo-prospect is a skill for Claude Code from techhorizonlabs/thl-open. It costs 87 tokens per session (1,753 once invoked), scanned A, a copy of geo-prospect, MIT.

A small customer-tracking system for managing potential and current clients through a sales pipeline, from first lead to won or lost.

In plain words
What is it for?
It creates and lists prospects, records notes, runs and saves quick GEO audits, changes pipeline status, records won or lost outcomes, and summarizes the pipeline.
Why use it?
It keeps prospect details, audit history, notes, deal values, and current status together instead of spreading them across separate files or conversations.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the thl-open plugin — 17 skills shipped together

Good fit It creates and lists prospects, records notes, runs and saves quick GEO audits, changes pipeline status, records won or lost outcomes, and summarizes the pipeline.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/techhorizonlabs/thl-open/geo-prospect
Install

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.

Any agent
npx skills add techhorizonlabs/thl-open --skill geo-prospect
Clone the repo
git clone --depth 1 https://github.com/techhorizonlabs/thl-open

Made for: Claude Code.

Or install thl-open, the plugin that ships this one along with the rest of its 17 skills.

Wrote 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.

agentmods badge for geo-prospect

README.md
[![agentmods](https://agentmods.dev/badge/skills/techhorizonlabs/thl-open/geo-prospect/github.svg)](https://agentmods.dev/skills/techhorizonlabs/thl-open/geo-prospect)
Your own site
<a href="https://agentmods.dev/skills/techhorizonlabs/thl-open/geo-prospect"><img src="https://agentmods.dev/badge/skills/techhorizonlabs/thl-open/geo-prospect/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.

agentmods 80×15 button for geo-prospect

Your own site · 80×15
<a href="https://agentmods.dev/skills/techhorizonlabs/thl-open/geo-prospect"><img src="https://agentmods.dev/badge/skills/techhorizonlabs/thl-open/geo-prospect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,753 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.01753
Opus 5 $0.00044 $0.00877
Sonnet 5 $0.00017 $0.00351
Haiku 4.5 $0.00009 $0.00175

Measured 10d ago against content hash 678e73223347, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

geo-prospect 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 10d 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.

Origin

This is a copy

89% identical to geo-prospect — 42 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/geo-prospect/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEO Prospect Manager

Purpose

Manage GEO agency prospects and clients through the full sales lifecycle. All data is stored in ~/.geo-prospects/prospects.json (persistent across sessions).


Commands

Command What It Does
/geo prospect new <domain> Create new prospect (interactive prompts)
/geo prospect list Show all prospects with pipeline status
/geo prospect list <status> Filter: lead, qualified, proposal, won, lost
/geo prospect show <id-or-domain> Full prospect detail with history
/geo prospect audit <id-or-domain> Run quick GEO audit and save to prospect record
/geo prospect note <id-or-domain> "<text>" Add interaction note with timestamp
/geo prospect status <id-or-domain> <new-status> Move through pipeline
/geo prospect won <id-or-domain> <monthly-value> Mark as won, set contract value
/geo prospect lost <id-or-domain> "<reason>" Mark as lost with reason
/geo prospect pipeline Visual pipeline summary with revenue forecast

Data Structure

Each prospect is stored as a JSON record:

{
  "id": "PRO-001",
  "company": "Meridian Legal",
  "domain": "meridianlegal.com.au",
  "contact_email": "[email protected]",
  "contact_name": "",
  "industry": "Educational Equipment Manufacturing",
  "country": "Italy",
  "status": "qualified",
  "geo_score": 32,
  "audit_date": "2026-03-12",
  "audit_file": "~/.geo-prospects/audits/meridianlegal.com.au-2026-03-12.md",
  "proposal_file": "~/.geo-prospects/proposals/meridianlegal.com.au-proposal.md",
  "monthly_value": 0,
  "contract_start": null,
  "contract_months": 0,
  "notes": [
    {
      "date": "2026-03-12",
      "text": "Initial GEO quick scan. Score 32/100 - Critical tier. Strong candidate for GEO services."
    }
  ],
  "created_at": "2026-03-12",
  "updated_at": "2026-03-12"
}

Orchestration Instructions

/geo prospect new <domain>

  1. Check if ~/.geo-prospects/prospects.json exists, create if not (empty array)
  2. Auto-detect company name from domain (e.g., meridianlegal.com.auMeridian Legal)
  3. Assign next sequential ID: PRO-001, PRO-002, etc.
  4. Ask user for:
    • Contact name (optional)
    • Contact email
    • Monthly contract value estimate (optional)
  5. Set status to lead
  6. Save to JSON file
  7. Suggest next step: "Run /geo prospect audit meridianlegal.com.au to score this prospect"

Read the full file on GitHub · 194 lines

Changes

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.

  1. 10d ago First seen · 194 lines · 87 tokens per session scan A 678e73223347

Subscribe to this mod's changes

geo-prospect is a skill published in the GitHub repository techhorizonlabs/thl-open (15 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 1,753 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to geo-prospect, differing in 42 lines, and is treated as a copy.

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