Datasets
Arize-ai/phoenix
Understand what a Phoenix dataset is and reason well about its examples, outputs, splits, and how it feeds evaluators and experiments.
Document a dataset so others know what it is, how it was made, and when not to use it.
MITAuto-check passed
Install Dataset Datasheet
$ npx skills add mohitagw15856/pm-claude-skills --skill dataset-datasheet -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills dataset-datasheet --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dataset-datasheet .claude/skills/dataset-datasheet && 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 "dataset-datasheet" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/dataset-datasheet into .claude/skills/dataset-datasheet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-datasheet", 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/mohitagw15856/pm-claude-skills/tree/main/skills/dataset-datasheetType 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 mohitagw15856/pm-claude-skills --skill dataset-datasheet -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills dataset-datasheet --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dataset-datasheet .agents/skills/dataset-datasheet && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dataset-datasheet" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/dataset-datasheet into .agents/skills/dataset-datasheet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-datasheet", 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 mohitagw15856/pm-claude-skills --skill dataset-datasheet -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills dataset-datasheet --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dataset-datasheet .cursor/skills/dataset-datasheet && 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 "dataset-datasheet" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/dataset-datasheet into .cursor/skills/dataset-datasheet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-datasheet", 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/mohitagw15856/pm-claude-skills.git --path skills/dataset-datasheet--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 mohitagw15856/pm-claude-skills --skill dataset-datasheet -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills dataset-datasheet --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dataset-datasheet .gemini/skills/dataset-datasheet && 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 "dataset-datasheet" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/dataset-datasheet into .gemini/skills/dataset-datasheet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-datasheet", 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 mohitagw15856/pm-claude-skills dataset-datasheetInstalls 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 mohitagw15856/pm-claude-skills --skill dataset-datasheet -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dataset-datasheet .github/skills/dataset-datasheet && 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 "dataset-datasheet" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/dataset-datasheet into .github/skills/dataset-datasheet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-datasheet", 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 mohitagw15856/pm-claude-skills --skill dataset-datasheet -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills dataset-datasheet --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dataset-datasheet .opencode/skills/dataset-datasheet && 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 "dataset-datasheet" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/dataset-datasheet into .opencode/skills/dataset-datasheet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-datasheet", 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
dataset-datasheet- GitHub stars
- 1.4k
- Token cost
- ~939 tokens
- SKILL.md length
- 453 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Document a dataset so others know what it is, how it was made, and when not to use it.
- Asked to write a datasheet for a dataset
- SKILL.md covers Required Inputs, Output Format, Quality Checks and Anti-Patterns, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Document training/eval data
What it does
Dataset Datasheet is an agent skill from mohitagw15856/pm-claude-skills. Document a dataset so others know what it is, how it was made, and when not to use it. Use when asked to write a datasheet for a dataset, document training/eval data, or assess whether a dataset is fit for a use. Produces a datasheet — motivation, composition, collection process, preprocessing, recommended uses & limits, distribution, and maintenance.
Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked to write a datasheet for a dataset
- Document training/eval data
- Assess whether a dataset is fit for a use
Example prompts
- “/dataset-datasheet”
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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
Dataset Datasheet loads about 939 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 453 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
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 453 words, ~939 tokens.
Download SKILL.mdSave it as
.claude/skills/dataset-datasheet/SKILL.md (or your agent's skills folder).- name
- dataset-datasheet
- description
- Document a dataset so others know what it is, how it was made, and when not to use it. Use when asked to write a datasheet for a dataset, document training/eval data, or assess whether a dataset is fit for a use. Produces a datasheet — motivation, composition, collection process, preprocessing, recommended uses & limits, distribution, and maintenance.
Dataset Datasheet Skill
Models inherit the flaws of their data, and most data debt is invisible because nobody wrote down where the data came from. A datasheet is that record: how the dataset was collected, what's in it, what's missing, and what it should not be used for. It's the difference between a reusable asset and a liability.
Required Inputs
Ask for these only if they aren't already provided:
- Dataset name, version, owner and what it's used for today.
- Motivation — why it was created and for what task.
- Composition — what an instance is, how many, fields/labels, and time range.
- Collection — sources, method (scraped, logged, purchased, annotated), and consent/licensing basis.
- Known issues — gaps, imbalances, label noise, sensitive attributes, duplicates.
Output Format
Datasheet: [dataset] v[version]
Owner: [team] · Created: [date] · License: [license]
1. Motivation — why this dataset exists, the task it serves, and who funded/created it.
2. Composition
- What a single instance represents; total count; the schema (fields, label definitions).
- Class/label balance and key distributions (and notable skews).
- Sensitive attributes present (directly or by proxy), and whether individuals are identifiable.
- Known missing data, duplicates, or noise.
3. Collection process — sources, mechanism (scrape/log/survey/annotation), time window, sampling strategy, and the legal/consent basis (license, ToS, opt-in).
4. Preprocessing / labelling — cleaning, dedup, filtering, and how labels were produced (who annotated, guidelines, inter-annotator agreement).
5. Recommended uses & limits
- Appropriate uses: tasks this data supports well.
- Do not use for: tasks where its biases/gaps would cause harm or invalid results.
6. Distribution & access — who can use it, how it's shared, and tenancy/PII handling.
7. Maintenance — owner, update cadence, versioning, and how errors get reported and fixed.
Show full SKILL.md (186 more words)Show less
Quality Checks
- The collection method and legal/consent basis are stated — not assumed
- Class balance and key distribution skews are quantified, not hand-waved
- Sensitive attributes (and proxies for them) are identified explicitly
- "Do not use for" lists concrete tasks where the data would mislead
- Label provenance is documented (who labelled, with what guidelines, and agreement level)
- An owner and update/error-reporting process are named
Anti-Patterns
- Do not describe only the happy-path contents — the gaps, skews, and noise are what cause model failures
- Do not omit the consent/licensing basis — "we scraped it" is a legal and ethical liability if undocumented
- Do not ignore proxy variables — removing race/gender columns doesn't remove the bias if zip code or name encodes it
- Do not present label quality as perfect — state who labelled it and the agreement rate, or note it's unmeasured
- Do not leave the dataset ownerless — an unmaintained dataset silently rots as the world changes
Based On
Datasheets for Datasets (Gebru et al., 2018) and data-documentation practice in responsible-AI reviews.
Example Trigger Phrases
- "Write a datasheet for a dataset."
- "Document training/eval data."
- "Assess whether a dataset is fit for a use."
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/dataset-datasheet of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Dataset Datasheet 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 |
|---|---|---|---|---|---|---|
| Dataset Datasheet this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~939 | Automated safety check: Pass | MIT | |
| DatasetsArize-ai/phoenix | 12k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Dataset Curationwshobson/agents | 40k | — | ~2k | Automated safety check: Pass | MIT | |
| Arize Datasetgithub/awesome-copilot | 40k | 1 repos | ~3.9k | Automated safety check: Notes | MIT | |
| Create Test DatasetsClickHouse/ClickHouse | 50k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face Datasetssickn33/agentic-awesome-skills | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT |
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Questions about Dataset Datasheet
What does Dataset Datasheet do?
Document a dataset so others know what it is, how it was made, and when not to use it. Dataset Datasheet is an agent skill from mohitagw15856/pm-claude-skills. Document a dataset so others know what it is, how it was made, and when not to use it.
When should I use Dataset Datasheet?
Dataset Datasheet fits situations like: asked to write a datasheet for a dataset; document training/eval data; assess whether a dataset is fit for a use.
How do I install Dataset Datasheet in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill dataset-datasheet -a claude-code`. Or copy the skill folder (skills/dataset-datasheet in mohitagw15856/pm-claude-skills) into .claude/skills/dataset-datasheet in your project. Claude Code loads it when a task matches its description.
How do I install Dataset Datasheet in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill dataset-datasheet -a codex`. Or copy the skill folder (skills/dataset-datasheet in mohitagw15856/pm-claude-skills) into .agents/skills/dataset-datasheet in your project. Codex loads it when a task matches its description.
Can I use Dataset Datasheet 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 mohitagw15856/pm-claude-skills --skill dataset-datasheet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dataset-datasheet, .gemini/skills/dataset-datasheet, .github/skills/dataset-datasheet and .opencode/skills/dataset-datasheet in your project.
What does Dataset Datasheet need to run?
SKILL.md names no scripts, command-line tools or credentials: Dataset Datasheet is instructions for the agent only.
Does Dataset Datasheet 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 Dataset Datasheet 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 Dataset Datasheet use?
Dataset Datasheet is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dataset Datasheet use?
About 939 tokens (SKILL.md is roughly 3.8k 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 Dataset Datasheet?
Skills that share tags, products or a category with Dataset Datasheet: Datasets (Arize-ai/phoenix, 12k stars), Dataset Curation (wshobson/agents, 40k stars), Arize Dataset (github/awesome-copilot, 40k stars) and Create Test Datasets (ClickHouse/ClickHouse, 50k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dataset Datasheet?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,433 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 8, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.