Tooluniverse Epigenomics
wu-yc/LabClaw
Production-ready genomics and epigenomics data processing for BixBench questions.
Run the instrumented specification search in the user's own statistical language — Stata (reghdfe, ivreghdfe, rdrobust, did2s), R (fixest, rdrobust, did2s), Python (statsmodels, linearmodels) or…
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill phack-polyglot -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills phack-polyglot --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/73-brycewang-p-hacking-skills/skills/10-phack-polyglot .claude/skills/phack-polyglot && 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 "phack-polyglot" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/10-phack-polyglot into .claude/skills/phack-polyglot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phack-polyglot", 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/73-brycewang-p-hacking-skills/skills/10-phack-polyglotType 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 phack-polyglot -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills phack-polyglot --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/73-brycewang-p-hacking-skills/skills/10-phack-polyglot .agents/skills/phack-polyglot && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "phack-polyglot" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/10-phack-polyglot into .agents/skills/phack-polyglot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phack-polyglot", 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 phack-polyglot -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills phack-polyglot --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/73-brycewang-p-hacking-skills/skills/10-phack-polyglot .cursor/skills/phack-polyglot && 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 "phack-polyglot" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/10-phack-polyglot into .cursor/skills/phack-polyglot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phack-polyglot", 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/73-brycewang-p-hacking-skills/skills/10-phack-polyglot--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 phack-polyglot -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills phack-polyglot --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/73-brycewang-p-hacking-skills/skills/10-phack-polyglot .gemini/skills/phack-polyglot && 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 "phack-polyglot" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/10-phack-polyglot into .gemini/skills/phack-polyglot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phack-polyglot", 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 phack-polyglotInstalls 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 phack-polyglot -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/73-brycewang-p-hacking-skills/skills/10-phack-polyglot .github/skills/phack-polyglot && 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 "phack-polyglot" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/10-phack-polyglot into .github/skills/phack-polyglot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phack-polyglot", 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 phack-polyglot -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 phack-polyglot --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/73-brycewang-p-hacking-skills/skills/10-phack-polyglot .opencode/skills/phack-polyglot && 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 "phack-polyglot" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/73-brycewang-p-hacking-skills/skills/10-phack-polyglot into .opencode/skills/phack-polyglot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phack-polyglot", 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.
phack-polyglotRun the instrumented specification search in the user's own statistical language — Stata (reghdfe, ivreghdfe, rdrobust, did2s), R (fixest, rdrobust, did2s), Python (statsmodels, linearmodels) or…
Phack Polyglot is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Run the instrumented specification search in the user's own statistical language — Stata (reghdfe, ivreghdfe, rdrobust, did2s), R (fixest, rdrobust, did2s), Python (statsmodels, linearmodels) or StatsPAI — and bring the results back into the audit, null calibration and honest report. Exports the enumerated grid as a language-neutral specs table plus a generated runner, ingests the runner's ledger, replays the null draws in that language, and reports cross-language parity. Use when an analysis or an agent…
Its SKILL.md is about 2.1k 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 Research & Science, covering Econometrics and empirical research, Statistics and Agent evaluation and testing. It works with Python and statsmodels. 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…
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.
Shell commands in SKILL.md call:
pythonFrom 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.
Phack Polyglot loads about 2.1k tokens when it runs. Until then it costs about 215 tokens; SKILL.md has 933 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 933 words (~2,070 tokens).
“An agent that p-hacks in Stata reports Stata's p-values, with Stata's small-sample conventions; the honest counterpart has to be computed on the same footing, not on a Python re-implementation. So the engine does the one thing that must be identical…”
Just SKILL.md in skills/73-brycewang-p-hacking-skills/skills/10-phack-polyglot of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Phack Polyglot 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 |
|---|---|---|---|---|---|---|
| Phack Polyglot this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Tooluniverse Epigenomicswu-yc/LabClaw | 1.1k | 2 repos | ~14k | Automated safety check: Pass | None | |
| Bio Experimental Design Multiple TestingGPTomics/bioSkills | 1.2k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Bio Temporal Genomics Temporal GrnGPTomics/bioSkills | 1.2k | 1 repos | ~5k | Automated safety check: Pass | MIT | |
| Bio Workflows Timecourse PipelineGPTomics/bioSkills | 1.2k | 1 repos | ~6k | Automated safety check: Pass | MIT | |
| Bio Proteomics Differential AbundanceFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | — | ~1.2k | Automated safety check: Pass | None |
wu-yc/LabClaw
Production-ready genomics and epigenomics data processing for BixBench questions.
GPTomics/bioSkills
Controls error rates across thousands of simultaneous tests in genomics discovery using false-discovery-rate methods (Benjamini-Hochberg 1995; Benjamini-Yekutieli 2001 for arbitrary dependence…
GPTomics/bioSkills
Infers directed, time-delayed gene regulatory edges from BULK time-series expression using Granger causality (statsmodels VAR F-test), dynGENIE3 (tree ensembles regressing ODE-derived derivatives…
GPTomics/bioSkills
End-to-end bulk time-course analysis from an expression matrix to temporal gene modules and per-cluster pathway enrichment.
FreedomIntelligence/OpenClaw-Medical-Skills
Statistical testing for differentially abundant proteins between conditions.
lingzhi227/agent-research-skills
Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
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
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
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…
Works with
Categories
Run the instrumented specification search in the user's own statistical language — Stata (reghdfe, ivreghdfe, rdrobust, did2s), R (fixest, rdrobust, did2s), Python (statsmodels, linearmodels) or…. Phack Polyglot is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Run the instrumented specification search in the user's own statistical language — Stata (reghdfe, ivreghdfe, rdrobust, did2s), R (fixest, rdrobust, did2s), Python (statsmodels, linearmodels) or StatsPAI — and bring the results back into the audit, null calibration and honest report.
Phack Polyglot fits situations like: an agent evaluation must happen in Stata; statsPAI rather than the Python engine; A p-hacked result was produced in one of those languages and needs auditing on its own footing; reading Stata / R / StatsPAI code for search and disclosure signals.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill phack-polyglot -a claude-code`. Or copy the skill folder (skills/73-brycewang-p-hacking-skills/skills/10-phack-polyglot in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/phack-polyglot in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill phack-polyglot -a codex`. Or copy the skill folder (skills/73-brycewang-p-hacking-skills/skills/10-phack-polyglot in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/phack-polyglot 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 phack-polyglot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/phack-polyglot, .gemini/skills/phack-polyglot, .github/skills/phack-polyglot and .opencode/skills/phack-polyglot in your project.
Going by SKILL.md and its folder, Phack Polyglot needs the command-line tools its instructions call (python). Our summary lists: Python 3.
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.
Phack Polyglot has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 2.1k tokens (SKILL.md is roughly 8.3k 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 Phack Polyglot: Tooluniverse Epigenomics (wu-yc/LabClaw, 1.1k stars), Bio Experimental Design Multiple Testing (GPTomics/bioSkills, 1.2k stars), Bio Temporal Genomics Temporal Grn (GPTomics/bioSkills, 1.2k stars) and Bio Workflows Timecourse Pipeline (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 4,542 GitHub stars. The repository holds 383 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.