# readiness

> readiness — cognis-digital-readiness. Use this tool when you need to assess and evaluate the readiness of units based on personnel, equipment, and training data. It computes unit readiness in a C-ratings style and flags gaps, taking YAML input and providing output that highlights areas for improvement. Ideal for military or organizational planning, this tool helps identify and address readiness gaps to inform strategic decision-making.

Canonical page: https://skillsregistry.net/skills/cognis-digital-readiness  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-readiness

## Description

Compute unit readiness (C-ratings style) from a personnel/equipment/training YAML and flag gaps.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/readiness)

## 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": "cognis-digital-readiness"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-readiness` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-readiness/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