geo-prospect

geo-prospect is a skill for Claude Code from multiplex-ai/muggle-ai-teams. It costs 87 tokens per session (1,730 once invoked), scanned A, a copy of geo-prospect, MIT.

A small customer and sales pipeline tracker for GEO agencies. A sales pipeline is the sequence of stages a potential client moves through, from lead to won or lost.

In plain words
What is it for?
Use it to add prospects, save audit results, record notes, change pipeline stages, mark deals won or lost, and view a pipeline summary.
Why use it?
It keeps prospect details, audit history, notes, deal values, and statuses together instead of spreading them across separate records.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the muggle-ai-teams plugin — 166 skills, 55 commands, 30 agents, 4 hooks shipped together

Good fit Use it to add prospects, save audit results, record notes, change pipeline stages, mark deals won or lost, and view a pipeline summary.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/multiplex-ai/muggle-ai-teams/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 multiplex-ai/muggle-ai-teams --skill geo-prospect
Clone the repo
git clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teams

Made for: Claude Code.

Or install muggle-ai-teams, the plugin that ships this one along with the rest of its 166 skills, 55 commands, 30 agents, 4 hooks.

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/multiplex-ai/muggle-ai-teams/geo-prospect/github.svg)](https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/geo-prospect)
Your own site
<a href="https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/geo-prospect"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/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/multiplex-ai/muggle-ai-teams/geo-prospect"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/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 1,730 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 100% 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 $0.01730
Opus 5.5 $0.00035 $0.00692
Sonnet 5.5 $0.00017 $0.00346
Haiku 4.5 $0.00009 $0.00173

Measured 2d ago against content hash 825f05d74dc0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2d 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

100% identical to geo-prospect — 0 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": "Electron Srl",
  "domain": "electron-srl.com",
  "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/electron-srl.com-2026-03-12.md",
  "proposal_file": "~/.geo-prospects/proposals/electron-srl.com-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., electron-srl.com → Electron Srl)
  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 electron-srl.com 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. 2d ago First seen · 194 lines · 87 tokens per session scan A 825f05d74dc0

Subscribe to this mod's changes

geo-prospect is a skill published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed 2d ago), licensed MIT. It adds 87 tokens to every session and 1,730 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to geo-prospect, differing in 0 lines, and is treated as a copy.

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