# feedback

> feedback — inwardis-feedback. Use this tool when you need to report bugs, request new features, or provide feedback on Inwardis, allowing you to interact with the development roadmap through git capabilities. It solves problems related to issue tracking, feature requests, and community engagement. Input your concerns or suggestions to receive outputs such as bug fixes, feature implementations, or status updates on the development process.

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

## Description

Roadmap & feedback for Inwardis — report bugs and request features

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Inwardis/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": "inwardis-feedback"
    }
  }
}
```

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

---
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