# software-observatory

> software-observatory — justinabrahms-software-observatory. Use this tool when you need to monitor and assess the correctness of software systems, reducing uncertainty through observable signals. It provides a catalog of epistemic sensors that generate signals to evaluate system correctness, accepting git data as input and producing insights on software reliability as output. Utilize it in development and testing contexts to ensure software quality and accuracy.

Canonical page: https://skillsregistry.net/skills/justinabrahms-software-observatory  
JSON: https://api.skillsregistry.net/v1/skills/justinabrahms-software-observatory

## Description

A catalog of epistemic sensors for software correctness — the observable signals that reduce uncertainty about whether a system is correct

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **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/justinabrahms/software-observatory)

## 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": "justinabrahms-software-observatory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/justinabrahms-software-observatory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/justinabrahms-software-observatory/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