ev-trip-plan

ev-trip-plan is a skill for Claude Code, Codex from Darwin-Agent/Car-bench-TRACE. It costs 0 tokens per session (6,364 once invoked), scanned A, original, MIT.

An electric-vehicle trip planner that works out the route, battery needs, charging stops, and charging time. An EV is a car powered by electricity rather than petrol or diesel.

In plain words
What is it for?
Planning EV journeys, comparing route choices, finding chargers near a location or along the route, estimating charging time, and optionally setting navigation.
Why use it?
It removes the guesswork about whether the battery can cover the trip and where charging may be needed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Planning EV journeys, comparing route choices, finding chargers near a location or along the route, estimating charging time, and optionally setting navigation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/darwin-agent/car-bench-trace/ev-trip-plan
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 Darwin-Agent/Car-bench-TRACE --skill ev-trip-plan
Clone the repo
git clone --depth 1 https://github.com/Darwin-Agent/Car-bench-TRACE

Made for: Claude Code, Codex.

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 ev-trip-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/darwin-agent/car-bench-trace/ev-trip-plan/github.svg)](https://agentmods.dev/skills/darwin-agent/car-bench-trace/ev-trip-plan)
Your own site
<a href="https://agentmods.dev/skills/darwin-agent/car-bench-trace/ev-trip-plan"><img src="https://agentmods.dev/badge/skills/darwin-agent/car-bench-trace/ev-trip-plan/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 ev-trip-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/darwin-agent/car-bench-trace/ev-trip-plan"><img src="https://agentmods.dev/badge/skills/darwin-agent/car-bench-trace/ev-trip-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,364 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 $0.00000 $0.06364
Opus 5 $0.00000 $0.03182
Sonnet 5 $0.00000 $0.01273
Haiku 4.5 $0.00000 $0.00636

Measured 8d ago against content hash bf7ad0b0b172, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ev-trip-plan 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 8d 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.

skills_bank/ev-trip-plan/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan an EV trip and its charging needs

The user wants the route and charging side of a trip worked out — how far, how long, whether/where to charge, how long the charge takes, how many stops. You resolve the destination, read the battery, get routes for the preferred selection, and find/reason about a charger. The decisive judgement is whether the user is asking for information or for a car action. Some requests are pure info ("plan it and email the details", "how long would I need to charge", "how many stops to get there") — gather everything, change nothing. Others explicitly call for a car action ("navigate to X with a charging stop", "replace my destination", "set it up") — then set or modify navigation as asked. The same method underlies both; only the final step differs. Under-specified requests leave genuine choices (which route, which charger) that you resolve from what the user states, asking only when truly open.

When this applies

Route + charging questions for an EV trip: "plan my trip to and email the route and charging details", "find a charger near the -km mark / where I reach %", "charge nearby before I leave, then continue", "how long to charge / how many charging stops to ", "navigate to with a charging stop", "change my destination and check if I'll need to charge". The unifying feature is reasoning about range and charging for a trip. If the request is a plain navigation change with no charging/range angle (just "take me to X", "remove a stop"), the navigation mechanics live in navigation-start / the waypoint-edit skills — come here when charging or range feasibility is part of it.

Tools

  • planning_tool({...}) — optional scaffold; a malformed dependency index returns a recoverable error, so just continue with the real lookups.
  • get_user_preferences({preference_categories}) — retrieve stored preferences. Use points_of_interest:{charging_stations:true} when the user defers which charger or where to charge (a stored SoC threshold or preferred provider resolves it), and navigation_and_routing:{route_selection:true} when the route choice is left to preference.
  • get_location_id_by_location_name({location}) — resolve a destination or a named point to an id (use the city main name only). A "not found" result is real: surface it and ask for a correction; never invent an id.
  • get_charging_specs_and_status({}) — current state of charge, range, max AC/DC power, capacity. Most of the plan depends on this. It may be removed for a task, or return a field (e.g. range, capacity) as the literal "unknown" — treat that as genuinely unavailable, not zero.
  • get_current_navigation_state({detailed_information}) — read whether navigation is active and the current waypoints/routes. Read this before any navigation change to know whether to use set_new_navigation (inactive) or a waypoint-edit tool (active), and to identify which leg a charger falls on.
  • get_routes_from_start_to_destination({start_id, destination_id}) — route alternatives (distance, time, tolls, fastest/shortest aliases). Start of the overall route must be the current car location.
  • search_poi_at_location({location_id, category_poi, filters}) — chargers (or fast_food, etc.) AT a place. Use this when the user charges before leaving / at the current location / at a specific city.
  • search_poi_along_the_route({at_kilometer, route_id, category_poi, filters}) — chargers along a route; at_kilometer is REQUIRED for charging_stations. Use this when the user charges on the way / at a km mark / where a certain SoC is reached.
  • calculate_charging_time_by_soc({charging_station_id, charging_station_plug_id, start_state_of_charge, target_state_of_charge}) — charge time, computed from the current SoC at the chosen plug.
  • calculate_charging_soc_by_time(...) — the inverse, when the user fixes a charging duration.
  • get_distance_by_soc({initial_state_of_charge, final_state_of_charge}) — distance drivable between two SoC levels; use it to find where a buffer SoC is reached and to test whether a further stop is needed.
  • convert_route_distance_and_time({route_id, time_minutes|distance_km}) — map a time on the route to a kilometre mark (e.g. to place a stop at a target arrival time) and back.
  • Navigation-change tools — set_new_navigation (only when navigation is inactive), and navigation_add_one_waypoint / navigation_replace_one_waypoint / navigation_replace_final_destination / navigation_delete_waypoint / navigation_delete_destination (only when navigation is already active). Use these only when the user calls for a car action.

Read the full file on GitHub · 128 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. 8d ago First seen · 128 lines · 0 tokens per session scan A bf7ad0b0b172

Subscribe to this mod's changes

ev-trip-plan is a skill published in the GitHub repository Darwin-Agent/Car-bench-TRACE (8 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,364 tokens. 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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