leadbay_plan_tour_in_city

leadbay_plan_tour_in_city is a skill for Claude Code from leadbay/mcp. It costs 118 tokens per session (3,067 once invoked), scanned A, original, MIT.

A field-sales tour planner for finding people or companies to visit in a named city or region. It combines existing follow-ups with newly discovered leads and uses the place as the geographic filter.

In plain words
What is it for?
Use it to plan an in-person sales itinerary, identify worthwhile meetings in a city, and prepare outreach for a specified visit date.
Why use it?
It prevents a city visit from turning into an unfiltered search across the whole workspace. It also supplies the location and visit timing needed for outreach drafts.

Skill for Claude Code

Written for Claude Code: a Claude Code plugin manifest. Also seen: names the AskUserQuestion tool; mentions Claude Code.

Part of the leadbay plugin — 16 skills shipped together

Good fit Use it to plan an in-person sales itinerary, identify worthwhile meetings in a city, and prepare outreach for a specified visit date.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leadbay/mcp/leadbay_plan_tour_in_city
View source ↗ leadbay/mcp
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 leadbay/mcp --skill leadbay_plan_tour_in_city
Clone the repo
git clone --depth 1 https://github.com/leadbay/mcp

Made for: Claude Code.

Or install leadbay, the plugin that ships this one along with the rest of its 16 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 leadbay_plan_tour_in_city

README.md
[![agentmods](https://agentmods.dev/badge/skills/leadbay/mcp/leadbay_plan_tour_in_city/github.svg)](https://agentmods.dev/skills/leadbay/mcp/leadbay_plan_tour_in_city)
Your own site
<a href="https://agentmods.dev/skills/leadbay/mcp/leadbay_plan_tour_in_city"><img src="https://agentmods.dev/badge/skills/leadbay/mcp/leadbay_plan_tour_in_city/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 leadbay_plan_tour_in_city

Your own site · 80×15
<a href="https://agentmods.dev/skills/leadbay/mcp/leadbay_plan_tour_in_city"><img src="https://agentmods.dev/badge/skills/leadbay/mcp/leadbay_plan_tour_in_city.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,067 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 original No closer match found 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 $0.00118 $0.03067
Opus 5 $0.00059 $0.01533
Sonnet 5 $0.00024 $0.00613
Haiku 4.5 $0.00012 $0.00307

Measured 10d ago against content hash 61cd92e82d30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

leadbay_plan_tour_in_city 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.

.claude-plugin/plugins/leadbay/skills/leadbay_plan_tour_in_city/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan a field sales tour for me in <City or region the user is visiting (e.g. 'Limoges', 'Bay Area'). Used as the geo filter for both Monitor and Discover lookups. A country is not a city: this workspace already covers exactly one country, and a country name here silently fences the tour to a same-named village. Do NOT omit the argument to recover — a city-less tour returns arbitrary leads from across the whole workspace, which is not an itinerary. Ask which city or region the visit is to. If not provided in the user's most recent message, ask once before proceeding.><if the user supplied this argument, render the short parenthetical or inline clause derived from it; otherwise empty. Source: When the visit is (e.g. 'May 24', 'next Thursday'). Surfaced in the outreach drafts as 'I'll be in on '.>.

GATE — DEFER TO TOOL RENDERING. When you call a Leadbay composite that ships its own RENDERING block (every composite in 0.9.0+ does), render the response using that block's recipe verbatim — score bars, glyph palette, column order, hide-list, link priorities, all of it. Do NOT substitute prose, a numbered list, or a different column structure even when an orchestrating prompt's body suggests alternate framing. Prompt-specific commentary (motivational nudges, summaries, next-action recommendations) belongs ABOVE or BELOW the canonical table, never in place of it.

If the prompt's body and the tool's RENDERING appear to conflict, the tool's RENDERING wins for the structural layout; the prompt's voice wins for the commentary that surrounds it.

PHASE 1 — CLARIFY SCOPE FIRST (ask before building)

Before calling leadbay_tour_plan, ask me what the tour should cover — a field tour is high-intent and the scope changes what lands on the map. Use your host's interactive question widget (ask_user_input_v0 in Claude chat — {questions:[{question, type:"single_select", options:[…]}]}; or AskUserQuestion in cowork / Claude Code — {questions:[{question, header, multiSelect, options:[{label, description}]}]}). Ask at most 2 short tap-to-answer questions:

  1. Who to include? — options: "Mix — known accounts + fresh prospects" (default), "Only my known accounts (follow-ups)", "Only fresh new prospects".
  2. Enrich contacts that have no phone/email? — options: "Yes, enrich the top stops", "No, just plan the tour".

Skip a question only if I already answered it in my request (e.g. "plan a tour of just my new leads in NYC" → who-to-include is already "only new"; don't re-ask). If I gave the full scope up front, skip PHASE 1 entirely and go to PHASE 2.

Map my answers to the leadbay_tour_plan call:

  • Mix → defaults (followups_count: 6, discover_count: 6).
  • Only known accountsdiscover_count: 0.
  • Only new prospectsfollowups_count: 0.
  • Enrich = yes → after the tour is planned (PHASE 2), call leadbay_enrich_titles / leadbay_prepare_outreach(enrich:true) on the top stops that have no recommended_contact channel, before drafting outreach.

Read the full file on GitHub · 112 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 · 112 lines · 118 tokens per session scan A 61cd92e82d30

Subscribe to this mod's changes

leadbay_plan_tour_in_city is a skill published in the GitHub repository leadbay/mcp (0 stars, last pushed today), licensed MIT. It adds 118 tokens to every session and 3,067 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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