# audit-code

> audit-code — itsnishi-audit-code. Use this tool when you need to identify security risks in your codebase, such as hardcoded secrets or common vulnerabilities. It solves problems related to insecure coding practices, providing outputs that highlight potential threats and dangerous function calls. By using audit-code, you can review your code and receive actionable insights to improve its security and integrity.

Canonical page: https://skillsregistry.net/skills/itsnishi-audit-code  
JSON: https://api.skillsregistry.net/v1/skills/itsnishi-audit-code

## Description

Security-focused code review for hardcoded secrets, dangerous calls, and common vulnerabilities.

## 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:** security
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/itsnishi-audit-code)

## 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": "itsnishi-audit-code"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/itsnishi-audit-code` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/itsnishi-audit-code/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