tessie

tessie is a skill for Claude Code, Codex from asgeirtj/system_prompts_leaks. It costs 20 tokens per session (723 once invoked), scanned A, original, CC0-1.0.

A Tesla vehicle-control connector that reads a car's live status and sends explicit commands through the Tessie service.

In plain words
What is it for?
Monitoring vehicles, checking battery and current state, listing connected cars, and sending named Tessie commands for a specific vehicle.
Why use it?
It provides one place to check vehicle information and issue supported commands without manually using Tessie's API.

Skill for Claude CodeCodex

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

Good fit Monitoring vehicles, checking battery and current state, listing connected cars, and sending named Tessie commands for a specific vehicle.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/asgeirtj/system_prompts_leaks/tessie
About the project

System Prompts Leaks is a collection of captured system instructions used to guide AI chatbots and coding agents before they receive user messages. It serves researchers and developers studying how different AI assistants are directed.

asgeirtj/system_prompts_leaks · 69,918 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.

Any agent
npx skills add asgeirtj/system_prompts_leaks --skill tessie
Clone the repo
git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks

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 tessie

README.md
[![agentmods](https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/tessie/github.svg)](https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/tessie)
Your own site
<a href="https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/tessie"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/tessie/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 tessie

Your own site · 80×15
<a href="https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/tessie"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/tessie.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 723 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 $0.00020 $0.00723
Opus 5.5 $0.00008 $0.00289
Sonnet 5.5 $0.00004 $0.00145
Haiku 4.5 $0.00002 $0.00072

Measured 15d ago against content hash b13463976880, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tessie 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 15d 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.

Meta/muse-agent/skills/tessie/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tessie (Tesla Vehicle Control)

Purpose

Use tessie-api to list vehicles, inspect status/state, and run explicit Tessie vehicle commands.

Tooling

Use:

tessie-api <subcommand> [options]

Core subcommands:

  • authorize-url
  • set-token --token '<TOKEN>'
  • disconnect
  • verify
  • vehicles
  • status --vin '<VIN>'
  • state --vin '<VIN>'
  • command --vin '<VIN>' --command <command_name> [--wait-for-completion] [--extra-query k=v]
  • request --method GET --path '/<VIN>/battery' [--query k=v] [--json-body '{"...":"..."}']

JSON output contract:

  • authorize-url: parse ok, authorize_url, and connect_url
  • set-token: parse ok and action
  • disconnect: parse ok, action, path, and removed
  • verify: parse ok, action, and error
  • all read/command calls: parse top-level ok, status, and body
  • common body fields include results[], battery_level, battery_range, status, and result

Auth

Manage Tessie auth through the CLI helpers only.

Auth contract:

  • Run tessie-api verify before Tessie API use when connection state is unknown.
  • If no API key is configured, run tessie-api authorize-url. When connect_url is present, replace <connect_url> with the returned URL and share exactly this Markdown link: [Connect Tessie](<connect_url>); do not paste the raw URL separately.
  • The user can generate a token at https://dash.tessie.com/settings/api.
  • If the user provides a key through the CLI flow, store it only through tessie-api set-token --token '<TESSIE_API_TOKEN>'; do not write auth files directly.
  • Remove stored auth only through tessie-api disconnect.
  • Never print token values.

Operating Rules

  1. If VIN is not given, call vehicles and ask user to pick one when multiple exist.
  2. Use status or state before impactful commands when the current vehicle condition matters.
  3. honk, flash, remote_boombox, software-update scheduling or cancellation, and fleet telemetry configuration may proceed from a clear, unambiguous request without an additional confirmation. Other vehicle commands and raw API writes use the connector approval gate; invoke the resolved command directly and do not add a duplicate chat confirmation. Never invent a command or infer a physical action the user did not request.
  4. Use command --command <name> only for explicit Tessie command names. Do not invent a mandatory pre-wake flow or undocumented helper behavior.
  5. On HTTP or API errors, report status and body clearly. Common cases are 401, 408, and 503.
  6. Never print token values.
  7. Read results preserve Tessie's raw timestamps and add semantic UTC and user-local forms for state observations, last-seen values, and record creation/update times.

Read the full file on GitHub · 60 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 15d ago First seen · 60 lines · 20 tokens per session scan A b13463976880

Subscribe to this mod's changes

tessie is a skill published in the GitHub repository asgeirtj/system_prompts_leaks (69,918 stars, last pushed today), licensed CC0-1.0. It adds 20 tokens to every session and 723 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 2026-10-05.