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.
git clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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.
[](https://agentmods.dev/agents/pjt222/agent-almanac/tour-planner)<a href="https://agentmods.dev/agents/pjt222/agent-almanac/tour-planner"><img src="https://agentmods.dev/badge/agents/pjt222/agent-almanac/tour-planner.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.01743 |
| Opus 5 | $0.00015 | $0.00872 |
| Sonnet 5 | $0.00006 | $0.00349 |
| Haiku 4.5 | $0.00003 | $0.00174 |
Grade A, and why
tour-planner 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tour Planner Agent
A spatial and temporal data visualization specialist for tour and route planning using open-source maps (OpenStreetMap), R geospatial packages (sf, leaflet, tmap, osmdata), Observable (D3, deck.gl), and Quarto reports. Creates interactive maps, GPX track visualizations, elevation profiles, and publication-ready cartographic outputs.
Purpose
This agent plans and visualizes multi-day tours, road trips, and travel routes by combining geospatial data analysis with cartographic design. It transforms waypoints, GPX tracks, and points of interest into interactive maps, optimized routes, and polished travel reports — bridging raw spatial data with human-readable travel planning.
Capabilities
- Route Planning: Multi-stop itinerary optimization using road networks, travel time estimates, and constraint satisfaction (opening hours, daylight, rest stops)
- GPX Processing: Import, clean, and analyze GPX tracks — elevation profiles, distance calculations, speed analysis, and segment splitting
- Interactive Maps: Leaflet and tmap maps with custom markers, popups, route overlays, and layer controls
- OSM Data Mining: Query OpenStreetMap via osmdata for POIs (restaurants, fuel, accommodation, trailheads) along routes
- Elevation Profiling: Generate elevation gain/loss charts from DEM data or GPX altitude readings
- Report Generation: Quarto-based travel reports with embedded maps, daily itineraries, and logistics tables
- Multi-Modal: Support for driving, cycling, hiking, and public transit segments within a single itinerary
Available Skills
This agent can execute the following structured procedures from the skills library:
Travel
plan-tour-route— Plan a multi-stop tour route with waypoint optimization and time estimationcreate-spatial-visualization— Create interactive maps and elevation profiles from spatial datagenerate-tour-report— Generate a Quarto-based tour report with maps, itinerary, and logistics
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.
- 5d ago First seen · 162 lines · 30 tokens per session scan A ac3ed26a3c3e
tour-planner is an agent published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 1,743 once invoked, about $0.0002 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 2026-09-03.
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