drive-efficiency-coach

drive-efficiency-coach is a skill for Claude Code, Codex from MyTeslaMate/mcp-tesla. It costs 32 tokens per session (1,259 once invoked), scanned A, original, MIT.

A driving-analysis helper that reviews Tesla trip data from TeslaMate, a tool that records Tesla vehicle activity. It measures energy use in watt-hours per kilometre (Wh/km) and highlights unusually inefficient trips.

In plain words
What is it for?
Use it to review efficiency over a chosen period, find high-consumption journeys, compare trips, and get driving habits that may improve range.
Why use it?
It helps explain why the car’s range changes and avoids judging efficiency from a few isolated trips. It turns recent driving records into specific suggestions for using less energy.

Skill for Claude CodeCodex

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

Good fit Use it to review efficiency over a chosen period, find high-consumption journeys, compare trips, and get driving habits that may improve range.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/myteslamate/mcp-tesla/drive-efficiency-coach
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 MyTeslaMate/mcp-tesla --skill drive-efficiency-coach
Clone the repo
git clone --depth 1 https://github.com/MyTeslaMate/mcp-tesla

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 drive-efficiency-coach

README.md
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Your own site
<a href="https://agentmods.dev/skills/myteslamate/mcp-tesla/drive-efficiency-coach"><img src="https://agentmods.dev/badge/skills/myteslamate/mcp-tesla/drive-efficiency-coach/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 drive-efficiency-coach

Your own site · 80×15
<a href="https://agentmods.dev/skills/myteslamate/mcp-tesla/drive-efficiency-coach"><img src="https://agentmods.dev/badge/skills/myteslamate/mcp-tesla/drive-efficiency-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,259 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 $0.00032 $0.01259
Opus 5.5 $0.00013 $0.00504
Sonnet 5.5 $0.00006 $0.00252
Haiku 4.5 $0.00003 $0.00126

Measured 2mo ago against content hash 46e01c8ec734, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

drive-efficiency-coach 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 2mo 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.

tesla_mcp/skills/drive-efficiency-coach/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Drive Efficiency Coach

When to use

Activate this skill when the user asks anything along the lines of:

  • "Am I driving efficiently?"
  • "Why does my range vary so much?"
  • "How can I improve my Wh/km?"
  • "Was my last trip efficient?"
  • "Show me my efficiency over the last month."

If the user only asks for a charge cost summary or battery health, prefer the charge_review or battery_health_report MCP prompts instead.

Prerequisites

You need a TeslaMate car_id. If unknown:

  1. Call teslamate_get_cars to list available cars.
  2. If exactly one is returned, use it silently.
  3. If multiple, ask the user which one before continuing.

Workflow

1. Pull the dataset

Call teslamate_get_car_drives with:

  • car_id: target car
  • start_date: 30 days ago in RFC3339 (e.g. 2026-04-06T00:00:00Z)
  • end_date: now in RFC3339
  • min_distance: 5 (filters out parking-lot moves where Wh/km is meaningless)
  • fetch_all: True whenever the window is longer than ~1 month — the TeslaMate API returns at most 100 entries per page, and the wrapper will auto-paginate to give you the complete set.

If the user specifies a different period (e.g. "this year", "last week"), use that instead. Always pass both start_date and end_date. For a year-long window, fetch_all=True is mandatory or you'll undercount.

Also pull teslamate_get_car_charges over the same window — needed for the timeline (Charge events) and to score the Recharge dimension.

2. Compute per-drive efficiency

For each drive in the response:

  • Distance: prefer the field expressed in km. If TeslaMate is configured for miles, convert (1 mi = 1.609 km).
  • Energy used: derive from whichever field is present — typically consumption_kwh, or start_ideal_range_km - end_ideal_range_km multiplied by the car's nominal Wh/km, or start_battery_level - end_battery_level multiplied by usable pack capacity. Use whichever yields the cleanest number; document the source in the answer.
  • wh_per_km = energy_used_wh / distance_km
  • avg_speed_kmh = distance_km / (duration_min / 60)
  • Skip drives where distance_km < 5 or energy_used_wh <= 0.

Read the full file on GitHub · 131 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. 2mo ago First seen · 131 lines · 32 tokens per session scan A 46e01c8ec734

Subscribe to this mod's changes

drive-efficiency-coach is a skill published in the GitHub repository MyTeslaMate/mcp-tesla (5 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 1,259 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

drive-efficiency-coach compared with skills from other repositories

drive-efficiency-coach next to 6 skills from other repositories
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