# Finsliparn

> Use this tool when you need to refine your code through iterative testing and validation, transforming single-attempt coding into a multi-attempt refinement loop. It solves problems of inefficient coding and debugging by running your actual test suite and feeding failures back as structured directives. This tool is ideal for use cases where automated testing and continuous improvement are crucial, accepting code inputs and producing validated outputs.

Canonical page: https://skillsregistry.net/skills/jgabor-finsliparn  
JSON: https://api.skillsregistry.net/v1/skills/jgabor-finsliparn

## Description

Transforms single-attempt coding into a multi-attempt, test-validated refinement loop by running your actual test suite and feeding failures back to the LLM as structured directives.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uijoht4sb1)
- **Repository:** <https://github.com/jgabor/finsliparn>

## 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": "jgabor-finsliparn"
    }
  }
}
```

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