# shpbl-fleet-immune-system

> shpbl-fleet-immune-system — sweetkenneth-shpbl-fleet-immune-system. Use this tool when you need to detect and respond to security threats by analyzing scan findings and synthesizing defenses. It solves problems related to vulnerability management and incident response by discovering patterns and remembering effective countermeasures. The tool takes in normalized scan findings as input and outputs synthesized non-executing defenses, making it a valuable asset in a security operations context.

Canonical page: https://skillsregistry.net/skills/sweetkenneth-shpbl-fleet-immune-system  
JSON: https://api.skillsregistry.net/v1/skills/sweetkenneth-shpbl-fleet-immune-system

## Description

Treat normalized scan findings as immune signals: discover patterns, synthesize non-executing defenses, remember what worked.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SweetKenneth/shpbl-fleet-immune-system)

## 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": "sweetkenneth-shpbl-fleet-immune-system"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sweetkenneth-shpbl-fleet-immune-system` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sweetkenneth-shpbl-fleet-immune-system/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
