# scvd-tab

> scvd-tab — scvd-tab. Use this tool when you need to monitor and optimize AI agent expenses, track trial conversions, and identify unused subscriptions to reduce waste and improve budget allocation. It takes in spending data and trial information as inputs and outputs detailed reports on subscription usage and potential cost savings. Ideal for use cases where AI agents require efficient resource management and cost control.

Canonical page: https://skillsregistry.net/skills/scvd-tab  
JSON: https://api.skillsregistry.net/v1/skills/scvd-tab

## Description

Track tool spending, trial conversions, and unused subscriptions for AI agents.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-08-24

## Source

- **Source listing:** [ClawHub](https://clawhub.ai/seancrecord/scvd-tab)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "scvd-tab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scvd-tab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scvd-tab/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt