# hashid

> hashid — cognis-digital-hashid. Use this tool when you need to identify unknown hash types and estimate the cost and feasibility of cracking them. It solves problems related to hash analysis and password cracking, providing insights into the type of hash and potential vulnerabilities. The tool takes a hash as input and outputs the identified hash type and estimated crack cost, making it useful in contexts such as penetration testing and security assessments.

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

## Description

Identify hash types and estimate crack cost/feasibility

## 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/hashid)

## 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-hashid"
    }
  }
}
```

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