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Agent skill

Model Sovereignty

by Habitat-Thinking in Habitat-Thinking/ai-literacy-superpowers

This skill should be used when the user asks about "local models", "custom models", "fine-tuning", "self-hosting models", "model selection", "which model should I use", "data privacy and models"…

Custom licenceAuto-check passedAI & LLM Engineering

Install Model Sovereignty

skills CLI
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-sovereignty -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Habitat-Thinking/ai-literacy-superpowers model-sovereignty --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-literacy-superpowers/skills/model-sovereignty .claude/skills/model-sovereignty && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
model-sovereignty
GitHub stars
114
Token cost
~1k tokens
SKILL.md length
492 words
Files
4 (incl. references)
Skills in repo
42
Repo updated
First seen
Licence
Custom licence

At a glance

This skill should be used when the user asks about "local models", "custom models", "fine-tuning", "self-hosting models", "model selection", "which model should I use", "data privacy and models"…

  • Works in 5 steps: Prompting + context engineering — the… → RAG — when the limitation is knowledge… → Fine-tuning (LoRA/QLoRA) — when the… → …
  • Asks about local models
  • SKILL.md covers The Decision Hierarchy, The Decision Framework, The Sovereignty Test and Getting Started, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Model Sovereignty is an agent skill from Habitat-Thinking/ai-literacy-superpowers. This skill should be used when the user asks about "local models", "custom models", "fine-tuning", "self-hosting models", "model selection", "which model should I use", "data privacy and models", "LoRA", "RAG vs fine-tuning", "Ollama", "vLLM", or wants guidance on whether to build, host, or customise their own AI models.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/decision-framework.md`, `references/hosting-options.md` and `references/technique-comparison.md`).

It sits in AI & LLM Engineering, covering Fine-tuning, LLM inference and serving and Privacy and GDPR. It works with Ollama and vLLM. The repository describes itself as: A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate….

When your agent uses it

  • Asks about local models
  • Self-hosting models
  • Model selection
  • Which model should I use

Example prompts

  • “local models”
  • “custom models”
  • “fine-tuning”
  • “/model-sovereignty”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Prompting + context engineering — the default. Most teams
  2. RAG — when the limitation is knowledge (volatile, large, or
  3. Fine-tuning (LoRA/QLoRA) — when the limitation is behaviour
  4. Distillation — when the limitation is size or speed (edge
  5. Local hosting — when the limitation is privacy, cost at scale,

What it can do on your machine

Read from SKILL.md and the folder at commit 9d35995. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Model Sovereignty loads about 1k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 492 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 492 words (~1,048 tokens).

“Model sovereignty is the practice of making deliberate decisions about which models to use, where they run, and whether to create custom models. It extends the framework's Theme #2 (Agency and Sovereignty) into the model layer.”

— opening of SKILL.md by Habitat-Thinking, Custom licence
name
model-sovereignty

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in ai-literacy-superpowers/skills/model-sovereignty of Habitat-Thinking/ai-literacy-superpowers.

  • SKILL.md
  • references/decision-framework.md
  • references/hosting-options.md
  • references/technique-comparison.md

Open the folder on GitHubat commit 9d35995

Compare with similar skills

Model Sovereignty next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Model Sovereignty compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Model Sovereignty this skillHabitat-Thinking/ai-literacy-superpowers114—~1kAutomated safety check: PassCustom licence
Open Weightsericrisco/rsc-harness180—~4.1kAutomated safety check: PassMIT
Unslothericrisco/rsc-harness180—~3.6kAutomated safety check: PassMIT
Vllmericrisco/rsc-harness180—~3.6kAutomated safety check: PassMIT
Aider DelegateamElnagdy/delegate-skills2.3k2 repos~3kAutomated safety check: PassMIT
Debug InferenceNVIDIA/OpenShell16k—~1.9kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Model Sovereignty

What does Model Sovereignty do?

This skill should be used when the user asks about "local models", "custom models", "fine-tuning", "self-hosting models", "model selection", "which model should I use", "data privacy and models"…. Model Sovereignty is an agent skill from Habitat-Thinking/ai-literacy-superpowers. This skill should be used when the user asks about "local models", "custom models", "fine-tuning", "self-hosting models", "model selection", "which model should I use", "data privacy and models", "LoRA", "RAG vs fine-tuning", "Ollama", "vLLM", or wants guidance on whether to build, host, or customise their own AI models.

When should I use Model Sovereignty?

Model Sovereignty fits situations like: asks about local models; self-hosting models; model selection; which model should I use.

How do I install Model Sovereignty in Claude Code?

Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-sovereignty -a claude-code`. Or copy the skill folder (ai-literacy-superpowers/skills/model-sovereignty in Habitat-Thinking/ai-literacy-superpowers) into .claude/skills/model-sovereignty in your project. Claude Code loads it when a task matches its description.

How do I install Model Sovereignty in Codex?

Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-sovereignty -a codex`. Or copy the skill folder (ai-literacy-superpowers/skills/model-sovereignty in Habitat-Thinking/ai-literacy-superpowers) into .agents/skills/model-sovereignty in your project. Codex loads it when a task matches its description.

Can I use Model Sovereignty in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-sovereignty -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-sovereignty, .gemini/skills/model-sovereignty, .github/skills/model-sovereignty and .opencode/skills/model-sovereignty in your project.

What does Model Sovereignty need to run?

SKILL.md names no scripts, command-line tools or credentials: Model Sovereignty is instructions for the agent only.

Does Model Sovereignty access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Model Sovereignty safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Model Sovereignty use?

Model Sovereignty has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Model Sovereignty use?

About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Model Sovereignty?

Skills that share tags, products or a category with Model Sovereignty: Open Weights (ericrisco/rsc-harness, 180 stars), Unsloth (ericrisco/rsc-harness, 180 stars), Vllm (ericrisco/rsc-harness, 180 stars) and Aider Delegate (amElnagdy/delegate-skills, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Model Sovereignty?

Habitat-Thinking (a GitHub organization) maintains it in Habitat-Thinking/ai-literacy-superpowers, which has 114 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on September 20, 2026.

Source: Habitat-Thinking/ai-literacy-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.