# skill-feedback

> skill-feedback — servicenow-skill-feedback. Use this tool when you need to provide feedback on Claude skills, as it auto-detects context and streamlines the process by creating ServiceNow SBOs. It solves problems related to inefficient feedback submission and tracking, allowing for seamless issue reporting. Ideal for use during skill testing and development, it takes in user feedback as input and outputs a ServiceNow SBO for further review.

Canonical page: https://skillsregistry.net/skills/servicenow-skill-feedback  
JSON: https://api.skillsregistry.net/v1/skills/servicenow-skill-feedback

## Description

MCP skill for submitting feedback about Claude skills - auto-detects context and creates ServiceNow SBOs

## 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:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ServiceNow/skill-feedback)

## 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": "servicenow-skill-feedback"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/servicenow-skill-feedback` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/servicenow-skill-feedback/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