# darkd-skills

> Use this tool when you need to interpret complex texts, generate strategic foresight, or assess long-term risks and opportunities. The darkd-skills tool offers four specialized AI agent skills to solve problems in text analysis, divination, scenario planning, and strategic alignment, providing outputs such as interpreted texts, divination insights, and gap assessments. It is ideal for use cases requiring in-depth understanding, predictive modeling, and strategic decision-making, accepting inputs such as texts, questions, and scenario parameters.

Canonical page: https://skillsregistry.net/skills/darkd-darkd-mcp  
JSON: https://api.skillsregistry.net/v1/skills/darkd-darkd-mcp

## Description

Four specialized AI agent skills: Integral Hermeneutics (8-lens text interpretation through any text type), Rune Wisdom (Elder Futhark divination), What-If Scenario Builder (15 foresight frameworksg), and Strategical Alignment (6-phase protocol for detecting where short-term optimization builds long-term fragility, with 9-dimension gap assessment)

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lnydf6vd8o)
- **Repository:** <https://github.com/DarkD/darkd-mcp>

## 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": "darkd-darkd-mcp"
    }
  }
}
```

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