# Evidra

> Use this tool when you need to monitor and debug AI infrastructure agents, as Evidra serves as a flight recorder to track and analyze their behavior, solving issues related to performance, errors, and unexpected outcomes. It captures detailed logs and data, providing valuable insights into agent interactions and decision-making processes. By using Evidra, developers can identify and resolve problems efficiently, ensuring reliable and optimal AI system operation.

Canonical page: https://skillsregistry.net/skills/io-github-vitas-evidra  
JSON: https://api.skillsregistry.net/v1/skills/io-github-vitas-evidra

## Description

Evidra — Flight recorder for AI infrastructure agents

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.vitas%2Fevidra)
- **Repository:** <https://github.com/vitas/evidra>

## 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": "io-github-vitas-evidra"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-vitas-evidra` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-vitas-evidra/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