# CloudLedger

> CloudLedger — cognisn-cloudledger. Use this tool when you need to analyze and query AWS security scan history across multiple accounts using natural language. It solves problems related to infrastructure configuration, public exposure, and organizational relationship tracking, providing insights into security vulnerabilities. Ideal for use cases requiring ad-hoc querying and investigation of AWS security data, with input of natural language queries and output of relevant security scan history results.

Canonical page: https://skillsregistry.net/skills/cognisn-cloudledger  
JSON: https://api.skillsregistry.net/v1/skills/cognisn-cloudledger

## Description

Enables natural language queries across AWS multi-account security scan history, including infrastructure configurations, public exposures, and organizational relationships.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oy2gpj0hap)
- **Repository:** <https://github.com/Cognisn/cloudledger>

## 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": "cognisn-cloudledger"
    }
  }
}
```

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