# tokencast

> tokencast — krulewis-tokencast. Use this tool when you need to estimate the cost of running large language model (LLM) agent workflows before execution, providing pre-task cost estimates and improving accuracy over time through calibration, with inputs of workflow tasks and outputs of estimated costs, ideal for optimizing resource allocation and budgeting in AI-driven projects.

Canonical page: https://skillsregistry.net/skills/krulewis-tokencast  
JSON: https://api.skillsregistry.net/v1/skills/krulewis-tokencast

## Description

Pre-execution cost estimation for LLM agent workflows, providing cost estimates before running tasks and improving accuracy over time through calibration.

## Trust

- **Trust score (0–1):** 0.38
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xvntf58ebp)
- **Repository:** <https://github.com/krulewis/tokencast>

## 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": "krulewis-tokencast"
    }
  }
}
```

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