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…

Custom licenceAuto-check passed

Install Formula Derivation

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill formula-derivation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills formula-derivation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
formula-derivation
GitHub stars
4.5k
Token cost
~1.7k tokens
SKILL.md length
913 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

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…

  • Works in 9 steps: Freeze the Target → Choose the Invariant Object → Put Assumptions and Notation First → …
  • Derive a theory line
  • SKILL.md covers Core Principle, What to Produce, Workflow and Common Derivation Patterns, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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…

When your agent uses it

  • Derive a theory line
  • Build equations from a problem statement
  • Clarify assumptions
  • Separate formal derivation from remarks

Example prompts

  • “/formula-derivation”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Freeze the Target
  2. Choose the Invariant Object
  3. Put Assumptions and Notation First
  4. Classify Every Step
  5. Derive from the Global Quantity When Splitting Costs
  6. Keep Special Cases and General Cases in One Line
  7. Treat Simplified Parameters as Analysis Slices
  8. Separate Main Text from Remarks
  9. Write Boundaries Explicitly

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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

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.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 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:”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
formula-derivation

Read the full SKILL.md on GitHub

Files

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

Compare with similar skills

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.

Formula Derivation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Formula Derivation this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.7kAutomated safety check: PassCustom licence
Formula DerivationAI4Scientist/nano-scientist1285 repos~2.3kAutomated safety check: PassNone
Longbridge Derivativessickn33/agentic-awesome-skills47k1 repos~1.1kAutomated safety check: PassMIT
Math Derivation Auditortradecatlabs/vibe-coding-cn17k—~429Automated safety check: PassMIT
Spreadsheet Formula Helpercomposio-community/awesome-codex-skills17k—~328Automated safety check: PassNone
Crypto Derivatives StrategiesHKUDS/Vibe-Trading35k—~2.4kAutomated safety check: PassMIT

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Questions about Formula Derivation

What does Formula Derivation do?

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.

When should I use Formula Derivation?

Formula Derivation fits situations like: derive a theory line; build equations from a problem statement; clarify assumptions; separate formal derivation from remarks.

How do I install Formula Derivation in Claude Code?

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.

How do I install Formula Derivation in Codex?

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.

Can I use Formula Derivation 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 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.

What does Formula Derivation need to run?

SKILL.md names no scripts, command-line tools or credentials: Formula Derivation is instructions for the agent only.

Does Formula Derivation 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 Formula Derivation 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 Formula Derivation use?

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.

How many tokens does Formula Derivation use?

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.

What are the alternatives to Formula Derivation?

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.

Who maintains Formula Derivation?

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.