Investigating Anomalous Results
K-Dense-AI/science-superpowers
A skill your agent uses when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything
Document datasets, variables, sources, and merge keys for replication
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-doc -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-doc --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/30-zirui-song-claude-skills/data-doc .claude/skills/data-doc && 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 "data-doc" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/30-zirui-song-claude-skills/data-doc into .claude/skills/data-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-doc", 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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/30-zirui-song-claude-skills/data-docType 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill data-doc -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-doc --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/30-zirui-song-claude-skills/data-doc .agents/skills/data-doc && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-doc" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/30-zirui-song-claude-skills/data-doc into .agents/skills/data-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-doc", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill data-doc -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-doc --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/30-zirui-song-claude-skills/data-doc .cursor/skills/data-doc && 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 "data-doc" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/30-zirui-song-claude-skills/data-doc into .cursor/skills/data-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-doc", 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/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/30-zirui-song-claude-skills/data-doc--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 brycewang-stanford/Auto-Empirical-Research-Skills --skill data-doc -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-doc --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/30-zirui-song-claude-skills/data-doc .gemini/skills/data-doc && 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 "data-doc" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/30-zirui-song-claude-skills/data-doc into .gemini/skills/data-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-doc", 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 brycewang-stanford/Auto-Empirical-Research-Skills data-docInstalls 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill data-doc -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/30-zirui-song-claude-skills/data-doc .github/skills/data-doc && 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 "data-doc" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/30-zirui-song-claude-skills/data-doc into .github/skills/data-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-doc", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill data-doc -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-doc --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/30-zirui-song-claude-skills/data-doc .opencode/skills/data-doc && 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 "data-doc" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/30-zirui-song-claude-skills/data-doc into .opencode/skills/data-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-doc", 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.
data-docDocument datasets, variables, sources, and merge keys for replication
Data Doc is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Document datasets, variables, sources, and merge keys for replication
Its SKILL.md is about 1k 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 Databases. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Data Doc loads about 1k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 281 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 281 words (~1,020 tokens).
“Help document datasets systematically for replication packages, co-author handoffs, and future reference.”
Just SKILL.md in skills/30-zirui-song-claude-skills/data-doc of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Data Doc 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 |
|---|---|---|---|---|---|---|
| Data Doc this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1k | Automated safety check: Pass | Custom licence | |
| Investigating Anomalous ResultsK-Dense-AI/science-superpowers | 348 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| LamindbK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Bio Chipseq Cut And Run TagGPTomics/bioSkills | 1.2k | 2 repos | ~4k | Automated safety check: Pass | MIT | |
| Bio Chipseq Spike In NormalizationGPTomics/bioSkills | 1.2k | 2 repos | ~4.4k | Automated safety check: Pass | MIT | |
| Bio Methylation Array PreprocessingGPTomics/bioSkills | 1.2k | 1 repos | ~4.5k | Automated safety check: Pass | MIT |
K-Dense-AI/science-superpowers
A skill your agent uses when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything
K-Dense-AI/scientific-agent-skills
Manages biological datasets and models with LaminDB, including artifact registration, lineage tracking, schema validation, Bionty ontology annotation, query/search, collections, branches, storage…
GPTomics/bioSkills
Analyzes CUT&RUN (Skene Henikoff 2017) and CUT&Tag (Kaya-Okur 2019) chromatin profiling data.
GPTomics/bioSkills
Normalizes ChIP-seq data using exogenous spike-in (ChIP-Rx with Drosophila chromatin per Orlando 2014 / Egan 2016; E.
GPTomics/bioSkills
Turns raw Illumina Infinium methylation BeadChip IDATs (450K, EPIC, EPICv2) into a defensible beta/M matrix with sesame (openSesame/SigDF) or minfi (RGChannelSet - MethylSet - GenomicRatioSet).
GPTomics/bioSkills
Stratifies patients into multi-omics subtypes by building one patient-by-patient similarity network per omic, fusing them with SNF's cross-network diffusion, and spectral-clustering the fused graph…
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
brycewang-stanford/Auto-Empirical-Research-Skills
Chinese LaTeX thesis assistant for existing .tex degree thesis projects (XeLaTeX/LuaLaTeX/latexmk).
brycewang-stanford/Auto-Empirical-Research-Skills
This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes…
Categories
Document datasets, variables, sources, and merge keys for replication. Data Doc is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Data Doc fits situations like: databases work in your project.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-doc -a claude-code`. Or copy the skill folder (skills/30-zirui-song-claude-skills/data-doc in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/data-doc in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-doc -a codex`. Or copy the skill folder (skills/30-zirui-song-claude-skills/data-doc in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/data-doc in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-doc -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-doc, .gemini/skills/data-doc, .github/skills/data-doc and .opencode/skills/data-doc in your project.
SKILL.md names no scripts, command-line tools or credentials: Data Doc is instructions for the agent only.
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.
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.
Data Doc has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Data Doc: Investigating Anomalous Results (K-Dense-AI/science-superpowers, 348 stars), Lamindb (K-Dense-AI/scientific-agent-skills, 48k stars), Bio Chipseq Cut And Run Tag (GPTomics/bioSkills, 1.2k stars) and Bio Chipseq Spike In Normalization (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,517 GitHub stars. The repository holds 369 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.