# genpark-speculative-decoding-verifier-skill

> genpark-speculative-decoding-verifier-skill — alpha-park-genpark-speculative-decoding-verifier-skill. Use this tool when you need to verify the accuracy of speculative decoding in draft-target models, solving problems of inefficient decoding and inaccurate results. It takes in decoding outputs and model parameters as inputs, producing verified decoding results and telemetry data as outputs. Ideal for use in natural language processing and machine learning applications where decoding accuracy is crucial.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-speculative-decoding-verifier-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-speculative-decoding-verifier-skill

## Description

Draft-target model speculative decoding verification engine with rejection sampling, acceptance rate telemetry, and dynamic speedup ratio estimation.

## 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:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-speculative-decoding-verifier-skill)

## 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": "alpha-park-genpark-speculative-decoding-verifier-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-speculative-decoding-verifier-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-speculative-decoding-verifier-skill/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
