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Agent skill

Symbolic Equation

by lingzhi227 in lingzhi227/agent-research-skills

Discover scientific equations from data using LLM-guided evolutionary search (LLM-SR).

No licenceAuto-check passedResearch & Science

Install Symbolic Equation

skills CLI
$ npx skills add lingzhi227/agent-research-skills --skill symbolic-equation -a claude-code

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

GitHub CLI
$ gh skill install lingzhi227/agent-research-skills symbolic-equation --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/lingzhi227/agent-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/symbolic-equation .claude/skills/symbolic-equation && 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
symbolic-equation
GitHub stars
390
Token cost
~913 tokens
SKILL.md length
314 words
Files
2 (incl. references)
Skills in repo
31
Repo updated
First seen
Licence
None found

At a glance

Discover scientific equations from data using LLM-guided evolutionary search (LLM-SR).

  • Works in 6 steps: Define Problem Specification → Initialize Multi-Island Buffer → Evolutionary Search Loop → …
  • Symbolic regression and equation discovery
  • SKILL.md covers Input, References, Workflow (from LLM-SR) and Cluster Sampling, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Symbolic Equation is an agent skill from lingzhi227/agent-research-skills. Discover scientific equations from data using LLM-guided evolutionary search (LLM-SR). Multi-island algorithm with softmax-based cluster sampling, island reset, and LLM-proposed equation mutations. Use for symbolic regression and equation discovery.

Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/llmsr-patterns.md`).

It sits in Research & Science. The repository describes itself as: Skills for Claude Code — deep-research: systematic academic literature review.

When your agent uses it

  • Symbolic regression and equation discovery

Example prompts

  • “/symbolic-equation”

Requirements

  • Python 3

Workflow steps

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

  1. Define Problem Specification
  2. Initialize Multi-Island Buffer
  3. Evolutionary Search Loop
  4. Prompt Construction
  5. Island Reset (Diversity Maintenance)
  6. Extract Best Equations

What it can do on your machine

Read from SKILL.md and the folder at commit 9e6c085. 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 (its code samples are python).

    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

Symbolic Equation loads about 913 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 314 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~913
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 314 words (~913 tokens).

“Discover interpretable scientific equations from data using LLM-guided evolutionary search.”

— opening of SKILL.md by lingzhi227
name
symbolic-equation
argument-hint
data-and-variables

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in skills/symbolic-equation of lingzhi227/agent-research-skills.

  • SKILL.md
  • references/llmsr-patterns.md

Open the folder on GitHubat commit 9e6c085

Compare with similar skills

Symbolic Equation 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.

Symbolic Equation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Symbolic Equation this skilllingzhi227/agent-research-skills390—~913Automated safety check: PassNone
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Categories

Questions about Symbolic Equation

What does Symbolic Equation do?

Discover scientific equations from data using LLM-guided evolutionary search (LLM-SR). Symbolic Equation is an agent skill from lingzhi227/agent-research-skills. Discover scientific equations from data using LLM-guided evolutionary search (LLM-SR).

When should I use Symbolic Equation?

Symbolic Equation fits situations like: symbolic regression and equation discovery.

How do I install Symbolic Equation in Claude Code?

Run `npx skills add lingzhi227/agent-research-skills --skill symbolic-equation -a claude-code`. Or copy the skill folder (skills/symbolic-equation in lingzhi227/agent-research-skills) into .claude/skills/symbolic-equation in your project. Claude Code loads it when a task matches its description.

How do I install Symbolic Equation in Codex?

Run `npx skills add lingzhi227/agent-research-skills --skill symbolic-equation -a codex`. Or copy the skill folder (skills/symbolic-equation in lingzhi227/agent-research-skills) into .agents/skills/symbolic-equation in your project. Codex loads it when a task matches its description.

Can I use Symbolic Equation 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 lingzhi227/agent-research-skills --skill symbolic-equation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/symbolic-equation, .gemini/skills/symbolic-equation, .github/skills/symbolic-equation and .opencode/skills/symbolic-equation in your project.

What does Symbolic Equation need to run?

SKILL.md names no scripts, command-line tools or credentials: Symbolic Equation is instructions for the agent only. Our summary lists: Python 3.

Does Symbolic Equation 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 Symbolic Equation 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 Symbolic Equation use?

No licence was found for Symbolic Equation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Symbolic Equation use?

About 913 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Symbolic Equation?

Skills that share tags, products or a category with Symbolic Equation: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Symbolic Equation?

lingzhi227 (a GitHub user) maintains it in lingzhi227/agent-research-skills, which has 390 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on February 27, 2026.

Source: lingzhi227/agent-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.