# Levenshtein Distance

> Use this skill to compute the Levenshtein edit distance between two strings plus a 0-1 similarity ratio. Deterministic, offline. For fuzzy matching and typo detection.

- Skill: `ncreighton/levenshtein-distance` (Agent Skill, multi-file: 10 files)
- Install (CLI): `npx skillmds@latest add ncreighton/levenshtein-distance`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ncreighton/levenshtein-distance/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ncreighton (https://skillmd.com/u/ncreighton)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/ncreighton/levenshtein-distance

---


# levenshtein-distance

Use this skill to compute the Levenshtein edit distance between two strings plus a 0-1 similarity ratio. Deterministic, offline. For fuzzy matching and typo detection.

- **Kind**: analyzer  |  **Niche**: ai  |  **Cost tier**: free  |  **Version**: 0.1.0

## Empire Integration
```python
import sys
sys.path.insert(0, r'C:\D\Claude Code Projects\_SHARED')
import empire_bootstrap  # wires all shared paths
```

## Usage

**As a CLI:**
```bash
python run.py --a <string> --b <string>
```

**From a Python agent (ATEN runtime):**
```python
from skill_library import executor
result = executor.execute("levenshtein-distance", {a=..., b=...})
```

## Parameters

| Name | Type | Required | Description |
|------|------|----------|-------------|
| `a` | string | yes | First string |
| `b` | string | yes | Second string |

## Returns

`object` — `{"status": "ok"|"error", "result": ...}`