# leak-check

> leak-check — khaney64-leak-check. Use this tool when you need to detect and identify leaked credentials in session logs, solving problems related to security breaches and data exposure. It scans log data to pinpoint potential credential leaks, providing output that highlights vulnerable areas. Ideal for use in security auditing and compliance contexts, where sensitive information may be at risk.

Canonical page: https://skillsregistry.net/skills/khaney64-leak-check  
JSON: https://api.skillsregistry.net/v1/skills/khaney64-leak-check

## Description

Scan session logs for leaked credentials.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/khaney64-leak-check)

## 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": "khaney64-leak-check"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khaney64-leak-check` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khaney64-leak-check/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