ML Dataset Discovery
OpenLAIR/dr-claw
Searches Hugging Face Hub, OpenML, GitHub and paper references for datasets that fit a research task and returns a ranked, de-duplicated table.
A skill your agent uses when authoring or interpreting Mitchell-extended model cards in this plugin.
Install Model Cards
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-cards -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers model-cards --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/model-cards/skills/model-cards .claude/skills/model-cards && rm -rf skills-srcUse ~/.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/
Install the "model-cards" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/model-cards/skills/model-cards into .claude/skills/model-cards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-cards", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/model-cards/skills/model-cardsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-cards -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers model-cards --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/model-cards/skills/model-cards .agents/skills/model-cards && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "model-cards" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/model-cards/skills/model-cards into .agents/skills/model-cards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-cards", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-cards -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers model-cards --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/model-cards/skills/model-cards .cursor/skills/model-cards && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "model-cards" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/model-cards/skills/model-cards into .cursor/skills/model-cards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-cards", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Habitat-Thinking/ai-literacy-superpowers.git --path model-cards/skills/model-cards--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-cards -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers model-cards --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/model-cards/skills/model-cards .gemini/skills/model-cards && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "model-cards" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/model-cards/skills/model-cards into .gemini/skills/model-cards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-cards", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers model-cardsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-cards -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .github/skills && cp -r skills-src/model-cards/skills/model-cards .github/skills/model-cards && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "model-cards" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/model-cards/skills/model-cards into .github/skills/model-cards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-cards", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-cards -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Habitat-Thinking/ai-literacy-superpowers model-cards --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/model-cards/skills/model-cards .opencode/skills/model-cards && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "model-cards" agent skill from https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/model-cards/skills/model-cards into .opencode/skills/model-cards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-cards", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
model-cards- GitHub stars
- 114
- Token cost
- ~1.3k tokens
- SKILL.md length
- 612 words
- Files
- 1
- Skills in repo
- 42
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when authoring or interpreting Mitchell-extended model cards in this plugin.
- Works in 10 steps: Model Details → Intended Use → Factors → …
- Interpreting Mitchell-extended model cards in this plugin
- SKILL.md covers The ten sections, Citation discipline, Honesty rules and Tiered source strategy, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Model Cards is an agent skill from Habitat-Thinking/ai-literacy-superpowers. Use when authoring or interpreting Mitchell-extended model cards in this plugin. Covers when each of the 10 sections applies, the citation discipline, the honesty rules (claim-level and card-level), and the tiered source strategy. Reference for the model-card-researcher agent and the /model-card command.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Model hubs and datasets. 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
- Interpreting Mitchell-extended model cards in this plugin
- Tasks that involve Model hubs and datasets
Example prompts
- “/model-cards”
Workflow steps
10 steps, taken from the step headings in SKILL.md.
- Model Details
- Intended Use
- Factors
- Metrics
- Evaluation Data
- Training Data
- Quantitative Analyses
- Ethical Considerations
- Caveats and Recommendations
- Operational Details
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 Cards loads about 1.3k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 612 words of instructions outside code blocks.
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 612 words (~1,262 tokens).
“This plugin produces 10-section model cards: Mitchell et al.'s 9 canonical sections plus an "Operational Details" 10th section for the consumer-evaluator audience. This skill is the reference for what each section is for and how to fill it honestly.”
- name
- model-cards
Files
Just SKILL.md in model-cards/skills/model-cards of Habitat-Thinking/ai-literacy-superpowers.
Open the folder on GitHubat commit 9d35995
Compare with similar skills
Model Cards 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Model Cards this skillHabitat-Thinking/ai-literacy-superpowers | 114 | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| ML Dataset DiscoveryOpenLAIR/dr-claw | 1.2k | — | ~741 | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Upload Post Imagehuggingface/blog | 3.5k | — | ~1.1k | Automated safety check: Pass | None |
Similar skills
LLM Benchmarking with lm-evaluation-harness
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
- Official
SageMaker Serving Image Selection
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
- Official
Hugging Face Local Model Evals
huggingface/skills
Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
- Official
Upload Post Image
huggingface/blog
A skill your agent uses when adding or migrating non-thumbnail images for a Hugging Face Blog post.
Add Archon Model
areal-project/AReaL
Guide for adding a new model to the Archon engine. An agent skill from areal-project/AReaL.
More from Habitat-Thinking/ai-literacy-superpowers
All 42 skills in this repoAdvocatus Diaboli
Habitat-Thinking/ai-literacy-superpowers
A skill your agent uses when acting as the adversarial spec reviewer — raises steel-manned objections across six categories before plan approval, requires evidence per objection, and discloses what…
AI Literacy Assessment
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…
Carpaccio
Habitat-Thinking/ai-literacy-superpowers
A skill your agent uses when acting as the cadence governor — slices a raw task description into thin, end-to-end-complete pieces before any spec is written; produces a structured slicing record for…
Choice Cartographer
Habitat-Thinking/ai-literacy-superpowers
A skill your agent uses when acting as the decision-archaeology agent — surfaces decisions a spec has made (including the silent ones), emits each material choice as a Henney-style pattern story for…
Constraint Design
Habitat-Thinking/ai-literacy-superpowers
This skill should be used when the user asks to "add a constraint", "design a constraint", "write a harness rule", "choose enforcement type", "promote a constraint", "configure a verification slot"…
Cost Tracking
Habitat-Thinking/ai-literacy-superpowers
A skill your agent uses when the user wants to capture AI tool costs, review spending trends, set cost budgets, or integrate cost data into health snapshots — guides quarterly cost capture, records…
Related
Categories
Questions about Model Cards
What does Model Cards do?
A skill your agent uses when authoring or interpreting Mitchell-extended model cards in this plugin. Model Cards is an agent skill from Habitat-Thinking/ai-literacy-superpowers. Use when authoring or interpreting Mitchell-extended model cards in this plugin.
When should I use Model Cards?
Model Cards fits situations like: interpreting Mitchell-extended model cards in this plugin; tasks that involve Model hubs and datasets.
How do I install Model Cards in Claude Code?
Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-cards -a claude-code`. Or copy the skill folder (model-cards/skills/model-cards in Habitat-Thinking/ai-literacy-superpowers) into .claude/skills/model-cards in your project. Claude Code loads it when a task matches its description.
How do I install Model Cards in Codex?
Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill model-cards -a codex`. Or copy the skill folder (model-cards/skills/model-cards in Habitat-Thinking/ai-literacy-superpowers) into .agents/skills/model-cards in your project. Codex loads it when a task matches its description.
Can I use Model Cards 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-cards -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-cards, .gemini/skills/model-cards, .github/skills/model-cards and .opencode/skills/model-cards in your project.
What does Model Cards need to run?
SKILL.md names no scripts, command-line tools or credentials: Model Cards is instructions for the agent only.
Does Model Cards 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 Cards 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 Cards use?
Model Cards 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 Cards use?
About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Model Cards?
Skills that share tags, products or a category with Model Cards: ML Dataset Discovery (OpenLAIR/dr-claw, 1.2k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars) and Hugging Face Local Model Evals (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Model Cards?
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.