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…
$ npx skills add AI4Scientist/nano-scientist --skill formula-derivation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AI4Scientist/nano-scientist 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/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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 AI4Scientist/nano-scientist --skill formula-derivation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AI4Scientist/nano-scientist formula-derivation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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 AI4Scientist/nano-scientist --skill formula-derivation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AI4Scientist/nano-scientist formula-derivation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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/AI4Scientist/nano-scientist.git --path skills/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 AI4Scientist/nano-scientist --skill formula-derivation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AI4Scientist/nano-scientist formula-derivation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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 AI4Scientist/nano-scientist 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 AI4Scientist/nano-scientist --skill formula-derivation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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 AI4Scientist/nano-scientist --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 AI4Scientist/nano-scientist formula-derivation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/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/AI4Scientist/nano-scientist/tree/main/skills/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-derivationStructures 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…
Formula Derivation is an agent skill from 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 paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.
Its SKILL.md is about 2.3k 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: An autonomous research agent that turns a topic into a peer-reviewed technical report.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7132192. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGrepGlobFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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 2.3k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 1,070 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,070 words (~2,278 tokens).
“Build an honest derivation package, not a fake polished theorem story.”
Just SKILL.md in skills/formula-derivation of AI4Scientist/nano-scientist.
Open the folder on GitHubat commit 7132192
We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.
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 skillAI4Scientist/nano-scientist | 128 | 5 repos | ~2.3k | Automated safety check: Pass | None | |
| Formula Derivationbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Structured Datathedaviddias/Front-End-Checklist | 74k | — | ~420 | Automated safety check: Pass | MIT | |
| Bio Structural Biology Modern Structure PredictionFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Crypto Derivatives StrategiesHKUDS/Vibe-Trading | 35k | — | ~2.4k | Automated safety check: Pass | MIT | |
| List Structurethedaviddias/Front-End-Checklist | 74k | — | ~438 | Automated safety check: Pass | MIT |
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…
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing metadata, crawlability, structured data, or indexability related to Add structured data markup.
FreedomIntelligence/OpenClaw-Medical-Skills
Predict protein structures using modern ML models including AlphaFold3, ESMFold, Chai-1, and Boltz-1.
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.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Use correct list structure.
GPTomics/bioSkills
Reads, writes, downloads, and converts macromolecular structures with Biopython Bio.PDB.
AI4Scientist/nano-scientist
Compile LaTeX paper to PDF, fix errors, and verify output. An agent skill from AI4Scientist/nano-scientist.
AI4Scientist/nano-scientist
Generate publication-quality figures and tables from experiment results.
AI4Scientist/nano-scientist
Find and read academic papers: disambiguate queries, discover papers (search, citation traversal, recommendations, arXiv monitoring, trending, GitHub search), evaluate (TLDR, citations, code, SOTA)…
AI4Scientist/nano-scientist
Writes rigorous mathematical proofs for ML/AI theory. An agent skill from AI4Scientist/nano-scientist.
AI4Scientist/nano-scientist
A skill your agent uses when main results pass result-to-claim (claimsupported=yes or partial) and ablation studies are needed for paper submission.
AI4Scientist/nano-scientist
Generate a structured paper outline from review conclusions and experiment results.
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…. Formula Derivation is an agent skill from 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 paper-ready formula document.
Formula Derivation fits situations like: build a theory line; organize assumptions; turn scattered equations into a coherent derivation; rewrite theory notes into a paper-ready formula document.
Run `npx skills add AI4Scientist/nano-scientist --skill formula-derivation -a claude-code`. Or copy the skill folder (skills/formula-derivation in AI4Scientist/nano-scientist) into .claude/skills/formula-derivation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AI4Scientist/nano-scientist --skill formula-derivation -a codex`. Or copy the skill folder (skills/formula-derivation in AI4Scientist/nano-scientist) 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 AI4Scientist/nano-scientist --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. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob.
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.
No licence was found for Formula Derivation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.3k tokens (SKILL.md is roughly 9.1k 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 Formula Derivation: Formula Derivation (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Structured Data (thedaviddias/Front-End-Checklist, 74k stars), Bio Structural Biology Modern Structure Prediction (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars) and Crypto Derivatives Strategies (HKUDS/Vibe-Trading, 35k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on June 3, 2026.
Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
