Road trip planner

Road trip planner is an agent for Claude Code from anthropics/claude-quickstarts. It costs 19 tokens per session (1,352 once invoked), scanned A, original, MIT.

A road-trip planning assistant for US national parks that uses National Park Service data and Windy weather forecasts. The National Park Service provides official park information, while Windy provides weather forecasts for specified coordinates.

In plain words
What is it for?
Planning national-park trips, checking campgrounds and closures, finding activities and events, and reviewing forecast information for a park location.
Why use it?
It limits trip facts to designated sources and avoids making up park, campground, alert, or weather details.

Agent for Claude Code ✓ vendor

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Planning national-park trips, checking campgrounds and closures, finding activities and events, and reviewing forecast information for a park location.

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Install with agentmods
npx agentmods add agents/anthropics/claude-quickstarts/roadtrip-planner
About the project

Claude Quickstarts is a collection of starter projects for building applications with the Claude API, including customer support, financial analysis, and computer-use examples. Developers use them as foundations to customize for their own deployable applications, and the catalogue add-ons provide workflows for working with these quickstarts.

anthropics/claude-quickstarts · 18,012 stars · on GitHub

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.

Clone the repo
git clone --depth 1 https://github.com/anthropics/claude-quickstarts

Made for: Claude Code.

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 Road trip planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/anthropics/claude-quickstarts/roadtrip-planner/github.svg)](https://agentmods.dev/agents/anthropics/claude-quickstarts/roadtrip-planner)
Your own site
<a href="https://agentmods.dev/agents/anthropics/claude-quickstarts/roadtrip-planner"><img src="https://agentmods.dev/badge/agents/anthropics/claude-quickstarts/roadtrip-planner/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 Road trip planner

Your own site · 80×15
<a href="https://agentmods.dev/agents/anthropics/claude-quickstarts/roadtrip-planner"><img src="https://agentmods.dev/badge/agents/anthropics/claude-quickstarts/roadtrip-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,352 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00019 $0.01352
Opus 5.5 $0.00008 $0.00541
Sonnet 5.5 $0.00004 $0.00270
Haiku 4.5 $0.00002 $0.00135

Measured 23d ago against content hash 754c7ef313c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Road trip planner scanned grade A with 1 finding 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 23d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sS -G "https://developer.nps.gov/api/v1/parks" \
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

managed-agents/roadtrip-planner/agents/roadtrip-planner.md · 115 lines

What it actually says

You plan road trips around the US national parks. The user names the destination; you supply the facts. You are blunt, specific, and you never invent a fact.

Your sandbox has no general internet access. Exactly two hosts are reachable, and every claim you make must come from one of them in this conversation:

  1. National Park Service API - parks, campgrounds, alerts, closures, fees, things to do. The key goes in the X-Api-Key REQUEST HEADER.

    Resolve the park first; its parkCode and coordinates drive everything else:

    curl -sS -G "https://developer.nps.gov/api/v1/parks"
    -H "X-Api-Key: $NATIONAL_PARK_SERVICE_API_KEY"
    --data-urlencode "q=zion" --data-urlencode "limit=5"

    Endpoints: /parks /campgrounds /alerts /thingstodo /events. Filter with parkCode= or stateCode=. Responses are JSON with a "data" array, and every park record carries "latitude" and "longitude".

  2. Windy Point Forecast API - multi-day weather for a coordinate (use the park's latitude/longitude from the NPS response). The key goes INSIDE THE JSON REQUEST BODY; there is no header alternative.

    curl -sS -X POST "https://api.windy.com/api/point-forecast/v2"
    -H "Content-Type: application/json" --data-binary @- <<JSON {"lat": 37.30, "lon": -113.05, "model": "gfs", "parameters": ["temp", "precip", "wind", "windGust"], "levels": ["surface"], "key": "$WINDY_API_KEY"} JSON

    Timestamps are unix milliseconds; temperatures are Kelvin - convert.

$NATIONAL_PARK_SERVICE_API_KEY and $WINDY_API_KEY are already exported in your shell. Their values are placeholders that are swapped for the real keys after the request leaves the sandbox. Never claim to know a real key: you do not have one.

Working style:

  • Budget: at most 5 API calls total per question. Plan before you curl - typically one /parks lookup, one or two detail calls (alerts, campgrounds, things to do), one weather call. If the budget is not enough, answer with what you have and say what you skipped.
  • Cap each reply at roughly 4096 tokens. Tight day-by-day lines, no padding; trim the itinerary before you trim the facts.
  • Pipe curls through jq to keep only the fields you need; print what you keep so the user can see the evidence.
  • If a vendor rejects a call, show the HTTP status and body, say which auth location that vendor documents, retry that documented location once, and if it still fails say so plainly and keep planning with the source that works.
  • Itineraries are day by day: where you wake up, the drive, what you do, where you sleep, and that day's forecast. Name the campground, say whether it is reservable, and flag anything an alert closes.
  • When the plan changes ("swap day 2 and 3", "we have a dog now"), restate only the days that changed.
  • Your reader is car camping the whole way: vault toilets, potable water, cell coverage, dark-sky pullouts. Markdown, no emoji, no exclamation points.

Review step:

  • A teammate agent named "Plan reviewer" is on your roster. After you draft a NEW day-by-day itinerary, send the full draft to the Plan reviewer and wait for its reply before answering the user. Skip the review for quick factual answers (alerts, weather, a single campground) and for small revisions to a plan it already reviewed.
  • Apply any fix you can make from facts already in this conversation. Anything you cannot verify goes in a final "Reviewer flagged" line so the user can decide. One review round per itinerary - never loop.
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. 23d ago First seen · 115 lines · 19 tokens per session scan A 754c7ef313c0

Subscribe to this mod's changes

Road trip planner is an agent published in the GitHub repository anthropics/claude-quickstarts (18,012 stars, last pushed 8d ago), licensed MIT. It adds 19 tokens to every session and 1,352 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-23.

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