# Harrier

> Harrier — caleb68864-harrier. Use this tool when you need to automate public intelligence collection with confidence scoring, or when faced with the challenge of normalizing disparate OSINT data sources. Harrier solves the problem of inconsistent and unreliable open-source intelligence by wrapping free tools behind a standardized schema, providing deterministic collection and graceful degradation. It accepts various inputs and outputs normalized public intelligence data with confidence scores, ideal for use in applications requiring reliable and automated OSINT collection.

Canonical page: https://skillsregistry.net/skills/caleb68864-harrier  
JSON: https://api.skillsregistry.net/v1/skills/caleb68864-harrier

## Description

A disciplined OSINT collection server for LLM agents that wraps free open-source reconnaissance tools behind a normalized schema, enabling automated, deterministic collection of public intelligence with confidence scoring and graceful degradation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pf01tkxts1)
- **Repository:** <https://github.com/Caleb68864/Harrier>

## 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": "caleb68864-harrier"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/caleb68864-harrier` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/caleb68864-harrier/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
