plan-route

plan-route is a skill for Claude Code from theYahia/WWmcp. It costs 24 tokens per session (468 once invoked), scanned A, original, MIT.

A route-planning tool that finds directions between two addresses using driving, public transport, walking, cycling, or taxi options. It reports travel time and distance.

In plain words
What is it for?
It is for geocoding addresses, finding routes, and comparing travel modes.
Why use it?
It removes the need to look up both places and compare route options manually.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit It is for geocoding addresses, finding routes, and comparing travel modes.

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Install with agentmods
npx agentmods add skills/theyahia/wwmcp/plan-route
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 theYahia/WWmcp --skill plan-route
Clone the repo
git clone --depth 1 https://github.com/theYahia/WWmcp

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 plan-route

README.md
[![agentmods](https://agentmods.dev/badge/skills/theyahia/wwmcp/plan-route/github.svg)](https://agentmods.dev/skills/theyahia/wwmcp/plan-route)
Your own site
<a href="https://agentmods.dev/skills/theyahia/wwmcp/plan-route"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/plan-route/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 plan-route

Your own site · 80×15
<a href="https://agentmods.dev/skills/theyahia/wwmcp/plan-route"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/plan-route.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 468 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00024 $0.00468
Opus 5 $0.00012 $0.00234
Sonnet 5 $0.00005 $0.00094
Haiku 4.5 $0.00002 $0.00047

Measured 4d ago against content hash db2a6ff556db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

plan-route 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 4d 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.

servers/2gis/.claude/skills/plan-route/SKILL.md · 53 lines

What it actually says

/plan-route — Route between two points

Algorithm

  1. Call geocode for the origin address. If the user typed a partial address, call suggest first and ask which of the completions they meant.
  2. Call geocode for the destination the same way.
  3. Call get_directions with origin_lat, origin_lon, dest_lat, dest_lon and mode (driving by default; the user may ask for public_transport, pedestrian, bicycle or taxi).
  4. Read total_duration_sec and total_distance_m from each returned route; convert seconds to minutes and meters to kilometers before showing them.
  5. If the user is comparing options, call get_directions once per mode and put the results in one table.

Response format

## Route: Tverskaya 7 → Sheremetyevo D

**Mode**: driving
**Time**: 52 min
**Distance**: 34.8 km
**Legs**: 3

Alternatives:
| Mode | Time | Distance |
|------|------|----------|
| driving | 52 min | 34.8 km |
| public_transport | 1 h 18 min | 41.2 km |

Notes

  • get_directions takes four separate numbers, not a point string — unlike search_places.
  • If the response has no routes, report "no route found" rather than inventing one; 2GIS returns nothing for cross-border or unreachable pairs.
  • reverse_geocode is the inverse tool: use it when the user gives coordinates and wants to confirm the address before routing.

Examples

/plan-route "Tverskaya 7" "Sheremetyevo D"
/plan-route "Nevsky 28" "Pulkovo" public_transport
/plan-route "my office" "Kazan station" pedestrian
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. 4d ago First seen · 53 lines · 24 tokens per session scan A db2a6ff556db

Subscribe to this mod's changes

plan-route is a skill published in the GitHub repository theYahia/WWmcp (29 stars, last pushed 3d ago), licensed MIT. It adds 24 tokens to every session and 468 once invoked, about $0.0001 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 2026-09-06.

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