Agent skill

AI Literacy Assessment

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

This skill should be used when the user asks to "assess AI literacy", "run an assessment", "check literacy level", "evaluate our AI collaboration", "where are we on the framework", or wants to…

Custom licenceAuto-check passedAgent Workflows

Install AI Literacy Assessment

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

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

GitHub CLI
$ gh skill install Habitat-Thinking/ai-literacy-superpowers ai-literacy-assessment --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/ai-literacy-assessment .claude/skills/ai-literacy-assessment && 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
ai-literacy-assessment
GitHub stars
114
Token cost
~3.7k tokens
SKILL.md length
1,818 words
Files
6 (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 to "assess AI literacy", "run an assessment", "check literacy level", "evaluate our AI collaboration", "where are we on the framework", or wants to…

  • Works in 7 steps: Observable Evidence → Clarifying Questions → Assessment Document → …
  • Asks to assess AI literacy
  • SKILL.md covers The Assessment Process, Scoring Heuristic and Operational Axes (ALCI Part D)
  • Reaches img.shields.io

What it does

AI Literacy Assessment is an agent skill from Habitat-Thinking/ai-literacy-superpowers. This skill should be used when the user asks to "assess AI literacy", "run an assessment", "check literacy level", "evaluate our AI collaboration", "where are we on the framework", or wants to determine their team's AI literacy level using the ALCI instrument.

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/assessment-template.md`, `references/habitat-discovery.md` and `references/operational-axes.md`).

It sits in Agent Workflows. 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 to assess AI literacy
  • Run an assessment
  • Check literacy level
  • Evaluate our AI collaboration

Example prompts

  • “assess AI literacy”
  • “run an assessment”
  • “check literacy level”
  • “/ai-literacy-assessment”

Requirements

  • Docker

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Observable Evidence
  2. Clarifying Questions
  3. Assessment Document
  4. Immediate Habitat Adjustments
  5. Workflow Operation Recommendations
  6. Assessment Reflection
  7. README Badge

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

    Hosts in commands or code, which the agent is likely to contact:

    • img.shields.io

    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

AI Literacy Assessment loads about 3.7k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 1,818 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

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 1,818 words (~3,678 tokens).

“Assess a team's AI collaboration literacy level by combining observable evidence from the repository with clarifying questions, then produce a timestamped assessment document and a README badge.”

— opening of SKILL.md by Habitat-Thinking, Custom licence
name
ai-literacy-assessment

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (references) in ai-literacy-superpowers/skills/ai-literacy-assessment of Habitat-Thinking/ai-literacy-superpowers.

  • SKILL.md
  • references/assessment-template.md
  • references/habitat-discovery.md
  • references/operational-axes.md
  • references/sophistication-markers.md
  • references/tool-config-evidence.md

Open the folder on GitHubat commit 9d35995

Compare with similar skills

AI Literacy Assessment 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.

AI Literacy Assessment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI Literacy Assessment this skillHabitat-Thinking/ai-literacy-superpowers114—~3.7kAutomated safety check: PassCustom licence
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Grillingpietheinstrengholt/rssmonster56431 repos~510Automated safety check: PassMIT
CodeGraph Agent Evalcolbymchenry/codegraph74k—~950Automated safety check: PassMIT
Improvefossasia/eventyay-interpretation1.6k10 repos~3.7kAutomated safety check: WarnMIT
Loop Change Verifiercobusgreyling/loop-engineering11k1 repos~709Automated safety check: PassMIT

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Questions about AI Literacy Assessment

What does AI Literacy Assessment do?

This skill should be used when the user asks to "assess AI literacy", "run an assessment", "check literacy level", "evaluate our AI collaboration", "where are we on the framework", or wants to…. AI Literacy Assessment is an agent skill from Habitat-Thinking/ai-literacy-superpowers. This skill should be used when the user asks to "assess AI literacy", "run an assessment", "check literacy level", "evaluate our AI collaboration", "where are we on the framework", or wants to determine their team's AI literacy level using the ALCI instrument.

When should I use AI Literacy Assessment?

AI Literacy Assessment fits situations like: asks to assess AI literacy; run an assessment; check literacy level; evaluate our AI collaboration.

How do I install AI Literacy Assessment in Claude Code?

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

How do I install AI Literacy Assessment in Codex?

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

Can I use AI Literacy Assessment 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 ai-literacy-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-literacy-assessment, .gemini/skills/ai-literacy-assessment, .github/skills/ai-literacy-assessment and .opencode/skills/ai-literacy-assessment in your project.

What does AI Literacy Assessment need to run?

SKILL.md names no scripts, command-line tools or credentials: AI Literacy Assessment is instructions for the agent only. Our summary lists: Docker.

Does AI Literacy Assessment access the network?

SKILL.md names 1 domain. In commands or code: img.shields.io; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is AI Literacy Assessment 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 AI Literacy Assessment use?

AI Literacy Assessment 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 AI Literacy Assessment use?

About 3.7k tokens (SKILL.md is roughly 15k 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 9.1k tokens, read only when the agent opens those files.

What are the alternatives to AI Literacy Assessment?

Skills that share tags, products or a category with AI Literacy Assessment: Diagnosing Superpowers Sessions (obra/superpowers, 297k stars), Grilling (pietheinstrengholt/rssmonster, 564 stars), CodeGraph Agent Eval (colbymchenry/codegraph, 74k stars) and Improve (fossasia/eventyay-interpretation, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Literacy Assessment?

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.