Formula Derivation
AI4Scientist/nano-scientist
Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a…
Agent skill
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
Structure and derive research formulas when the user wants to 推导公式, derive a theory line, build equations from a problem statement, clarify assumptions, separate formal derivation from remarks, or…
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill formula-derivation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills formula-derivation --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/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation .claude/skills/formula-derivation && 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 "formula-derivation" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation into .claude/skills/formula-derivation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formula-derivation", 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/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivationType 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 formula-derivation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills formula-derivation --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/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation .agents/skills/formula-derivation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "formula-derivation" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation into .agents/skills/formula-derivation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formula-derivation", 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 formula-derivation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills formula-derivation --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/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation .cursor/skills/formula-derivation && 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 "formula-derivation" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation into .cursor/skills/formula-derivation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formula-derivation", 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/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation--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 formula-derivation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills formula-derivation --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/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation .gemini/skills/formula-derivation && 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 "formula-derivation" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation into .gemini/skills/formula-derivation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formula-derivation", 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 formula-derivationInstalls 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 formula-derivation -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/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation .github/skills/formula-derivation && 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 "formula-derivation" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation into .github/skills/formula-derivation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formula-derivation", 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 formula-derivation -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 formula-derivation --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/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation .opencode/skills/formula-derivation && 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 "formula-derivation" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation into .opencode/skills/formula-derivation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "formula-derivation", 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.
formula-derivationStructure and derive research formulas when the user wants to 推导公式, derive a theory line, build equations from a problem statement, clarify assumptions, separate formal derivation from remarks, or…
Formula Derivation is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Structure and derive research formulas when the user wants to 推导公式, derive a theory line, build equations from a problem statement, clarify assumptions, separate formal derivation from remarks, or turn messy theory notes into a paper-ready derivation skeleton. Use for research-style formula development, not for fully rigorous theorem proving once the claim is already fixed.
Its SKILL.md is about 1.7k 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: 🔬 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…
9 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.
Formula Derivation loads about 1.7k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 913 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 913 words (~1,742 tokens).
“Use this skill when the task is not merely to prove a finished theorem, but to build the derivation itself:”
Just SKILL.md in skills/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Formula Derivation 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 |
|---|---|---|---|---|---|---|
| Formula Derivation this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Formula DerivationAI4Scientist/nano-scientist | 128 | 5 repos | ~2.3k | Automated safety check: Pass | None | |
| Longbridge Derivativessickn33/agentic-awesome-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Math Derivation Auditortradecatlabs/vibe-coding-cn | 17k | — | ~429 | Automated safety check: Pass | MIT | |
| Spreadsheet Formula Helpercomposio-community/awesome-codex-skills | 17k | — | ~328 | Automated safety check: Pass | None | |
| Crypto Derivatives StrategiesHKUDS/Vibe-Trading | 35k | — | ~2.4k | Automated safety check: Pass | MIT |
AI4Scientist/nano-scientist
Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a…
sickn33/agentic-awesome-skills
Curated upstream guidance for Longbridge Derivatives; use when the workflow matches the user goal.
tradecatlabs/vibe-coding-cn
Constructs honest, checkable derivation chains for formulas and theory notes, and keeps approximations and numerical hints from passing as rigorous proof.
composio-community/awesome-codex-skills
Write and debug spreadsheet formulas (Excel/Google Sheets), pivot tables, and array formulas; translate between dialects; use when users need working formulas with examples and edge-case checks.
HKUDS/Vibe-Trading
Covers three crypto-derivatives approaches: perpetual funding-rate arbitrage, futures term-structure trading in contango and backwardation, and options volatility and Greeks analysis.
baserow/baserow
Explain, debug, or extend Baserow runtime formulas, including FormulaField/JSONFormulaField storage, FormulaSerializerField validation, runtime formula functions, backend and frontend data…
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…
Structure and derive research formulas when the user wants to 推导公式, derive a theory line, build equations from a problem statement, clarify assumptions, separate formal derivation from remarks, or…. Formula Derivation is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Structure and derive research formulas when the user wants to 推导公式, derive a theory line, build equations from a problem statement, clarify assumptions, separate formal derivation from remarks, or turn messy theory notes into a paper-ready derivation skeleton.
Formula Derivation fits situations like: derive a theory line; build equations from a problem statement; clarify assumptions; separate formal derivation from remarks.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill formula-derivation -a claude-code`. Or copy the skill folder (skills/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/formula-derivation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill formula-derivation -a codex`. Or copy the skill folder (skills/42-wanshuiyin-ARIS/skills/skills-codex/formula-derivation in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/formula-derivation 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 formula-derivation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/formula-derivation, .gemini/skills/formula-derivation, .github/skills/formula-derivation and .opencode/skills/formula-derivation in your project.
SKILL.md names no scripts, command-line tools or credentials: Formula Derivation 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.
Formula Derivation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.7k tokens (SKILL.md is roughly 7k 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 Formula Derivation: Formula Derivation (AI4Scientist/nano-scientist, 128 stars), Longbridge Derivatives (sickn33/agentic-awesome-skills, 47k stars), Math Derivation Auditor (tradecatlabs/vibe-coding-cn, 17k stars) and Spreadsheet Formula Helper (composio-community/awesome-codex-skills, 17k 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.