# TokenSkein

> TokenSkein — flaviomartil-token-skein. Use this tool when you need to optimize token usage and recover compacted content in local context-economy interactions with GPT/Codex. TokenSkein provides compression, retrieval, and statistics to solve problems of inefficient token utilization and content loss. It takes in local context data as input and outputs compressed tokens, retrieved content, and usage statistics, making it ideal for applications requiring precise control over token economy.

Canonical page: https://skillsregistry.net/skills/flaviomartil-token-skein  
JSON: https://api.skillsregistry.net/v1/skills/flaviomartil-token-skein

## Description

Provides compression, retrieval, and statistics for local context-economy when interacting with GPT/Codex, enabling efficient token usage and exact recovery of compacted content.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c7nxy4omtu)
- **Repository:** <https://github.com/flaviomartil/token-skein>

## 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": "flaviomartil-token-skein"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flaviomartil-token-skein` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flaviomartil-token-skein/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