ts-teardown

ts-teardown is a command for Claude Code from vedanta/the-system. It costs 0 tokens per session (850 once invoked), scanned A, original, LGPL-3.0.

A command for taking down a deployment, meaning a running version of the application hosted for users.

In plain words
What is it for?
Use it when you need to tear down an application deployment.
Why use it?
It documents the process for removing or stopping a deployment, including use with Vercel, a hosting platform.

Command for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it when you need to tear down an application deployment.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/vedanta/the-system/ts-teardown
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.

Clone the repo
git clone --depth 1 https://github.com/vedanta/the-system

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 ts-teardown

README.md
[![agentmods](https://agentmods.dev/badge/commands/vedanta/the-system/ts-teardown.svg)](https://agentmods.dev/commands/vedanta/the-system/ts-teardown)
Your own site
<a href="https://agentmods.dev/commands/vedanta/the-system/ts-teardown"><img src="https://agentmods.dev/badge/commands/vedanta/the-system/ts-teardown.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 850 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00850
Opus 5 $0.00000 $0.00425
Sonnet 5 $0.00000 $0.00170
Haiku 4.5 $0.00000 $0.00085

Measured 4d ago against content hash f0f62c70d912, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ts-teardown scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X DELETE "https://console.neon.tech/api/v2/projects/[id]" \
.claude/commands/ts-teardown.md · 126 lines

The source is not reproduced here

Licensed LGPL-3.0

The repository is licensed LGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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 · 126 lines · 0 tokens per session scan A f0f62c70d912

Subscribe to this mod's changes

ts-teardown is a command published in the GitHub repository vedanta/the-system (9 stars, last pushed 6mo ago), licensed LGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 850 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.