# Apply Diasporic Intelligence With Source Credit

AI writing can erase sources or omit consent boundaries when discussing culturally rooted knowledge. This skill preserves attribution, provenance, revocation, and human authority.

## Install

```bash
npx skillstore add ministajazz/diasporic-intelligence
```

## Metadata

- Status: approved
- Slug: ministajazz-diasporic-intelligence
- Version: 0.1.0
- Author version: 0.1.0
- Skillstore revision: r2
- Version status: valid
- Tree hash: 213f20cb84aa6be246af303a20f79b277f4f4c602b26b309f536dc91f1840653
- Author: MinistaJazz
- GitHub username: MinistaJazz
- License: MIT
- Repository: https://github.com/MinistaJazz/diasporic-intelligence/tree/main/
- Ref: 02be9409c79ca1183f7844009c14d9df684d0cf9
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: network
- Quality score: 82
- Quality tier: silver
- Public page: https://skillstore.pages.dev/skills/ministajazz-diasporic-intelligence
- Manifest: https://skillstore.pages.dev/api/skills/ministajazz-diasporic-intelligence/manifest

## Capabilities

- Explains Diasporic Intelligence using canonical, short, plain-language, or technical definitions.
- Reviews writing for source attribution, consent, provenance, revocation, and community accountability.
- Distinguishes the framework from generic cultural AI, voice cloning, and ancestor impersonation.
- Drafts attribution language for academic, grant, product, engineering, and public contexts.
- Evaluates proposed systems against explicit minimum governance conditions.
- Suggests consent states, provenance metadata, audit logs, revocation paths, and role boundaries.

## Use Cases

- Review Public Language: Check an article, grant, or website for correct definition, attribution, and governance boundaries.
- Design Governed AI: Translate the framework into consent states, provenance records, revocation paths, and non-impersonation controls.
- Assess Cultural Projects: Evaluate oral history or heritage technology proposals for extraction, source erasure, and unsupported authority claims.

## Prompt Templates

### Explain the Framework

```
Explain Diasporic Intelligence in plain language. Include the source attribution and the roles of consent, provenance, revocation, and community accountability.
```

### Review a Paragraph

```
Review this text for alignment with Diasporic Intelligence: [text]. Identify missing attribution or governance boundaries, then provide a revised version.
```

### Evaluate a Proposal

```
Assess this project proposal against the Core DI Minimum: [proposal]. Report each requirement as aligned, incomplete, or conflicting, with specific reasons.
```

### Draft an Architecture

```
Design a Diasporic Intelligence governance architecture for [system]. Define consent states, provenance, revocation, auditability, role boundaries, refusals, and documented limitations.
```

## Limitations

- It provides a normative interpretation framework, not legal advice or enforcement.
- It does not grant certification, endorsement, or access to private implementations and records.
- It cannot verify whether an organization follows its stated consent and governance processes.
- It does not replace clinical, pastoral, legal, or community authority.

## Best Practices

- Place source attribution near the first use of the term.
- Start with consent and human authority before describing AI capabilities.
- Test every implementation for provenance, revocation, role boundaries, and understandable limitations.

## Anti Patterns

- Do not describe generic diverse AI as Diasporic Intelligence.
- Do not use scraped cultural material or cloned voices without explicit consent and provenance.
- Do not present AI as an ancestor, deity, clinician, pastor, or other unsupported authority.

## Security Audit

- Audited at: 2026-08-09T08:58:53.229\+00:00
- Summary: The repository URL is citation metadata and does not initiate network access. The six system-reconnaissance matches are false positives on governance and review language, with no malicious instructions or reconnaissance behavior found.

## Stats

- Views: 33
- Downloads: 5
- Favorites: 0
- Popularity score: 0