# backping

> backping — sitaramshelke-backping. Use this tool when you need to unblock AI agents like Codex or Claude by receiving questions through Telegram or Slack, providing a seamless interface to resolve stuck instances and facilitate continuous workflow. It takes input from MCP clients and outputs questions to messaging platforms, allowing for efficient human intervention. Ideal for use cases where AI agents require human clarification or input to proceed with tasks.

Canonical page: https://skillsregistry.net/skills/sitaramshelke-backping  
JSON: https://api.skillsregistry.net/v1/skills/sitaramshelke-backping

## Description

A macOS menu-bar app that lets Codex, Claude, and other MCP clients ask you questions through Telegram or Slack when they would otherwise get stuck.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** communication
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/sitaramshelke/backping)

## 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": "sitaramshelke-backping"
    }
  }
}
```

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