# smart-token-guard

> smart-token-guard — nwjnjjj-smart-token-guard. Use this tool when you need to optimize AI video rendering and prevent unnecessary credit burn. The smart-token-guard checks every keyframe and clip for issues before rendering, solving problems of wasted resources and inefficient video production. It integrates with MCP servers, A2A agents, and Python SDKs, providing a seamless interface for inputting video clips and outputting verified, render-ready content.

Canonical page: https://skillsregistry.net/skills/nwjnjjj-smart-token-guard  
JSON: https://api.skillsregistry.net/v1/skills/nwjnjjj-smart-token-guard

## Description

Stop burning credits on broken AI video. Check every keyframe and clip before you pay for the next render. MCP server, A2A agent and Python SDK.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/nwjnjjj/smart-token-guard)

## 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": "nwjnjjj-smart-token-guard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nwjnjjj-smart-token-guard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nwjnjjj-smart-token-guard/pull`

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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
