# pingfusi

> pingfusi — yusuf88548-pingfusi. Use this tool when you need to inject human oversight into automated coding tasks, ensuring accuracy and quality by allowing reviewers to pinpoint errors and provide feedback mid-task. It solves problems of unreviewed automated code changes, providing a collaborative interface for humans and AI agents to work together. The tool takes in automated code changes, outputs reviewed and approved code, and is ideal for use cases where human validation is crucial, such as critical software development or high-stakes coding projects.

Canonical page: https://skillsregistry.net/skills/yusuf88548-pingfusi  
JSON: https://api.skillsregistry.net/v1/skills/yusuf88548-pingfusi

## Description

MCP server + CLI that puts a real human in your coding agent's loop. It publishes work mid-task, a reviewer pins what's wrong and returns a verdict, and the agent iterates until approved.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-19

## Source

- **Source listing:** [GitHub](https://github.com/yusuf88548/pingfusi)

## 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": "yusuf88548-pingfusi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yusuf88548-pingfusi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yusuf88548-pingfusi/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