Agent skill

Experiment Agent

by Imbad0202 in Imbad0202/experiment-agent

Experiment executor and monitor for academic research. An agent skill from Imbad0202/experiment-agent.

CC-BY-NC-4.0Auto-check passedData & Analytics

Install Experiment Agent

skills CLI
$ npx skills add Imbad0202/experiment-agent --skill experiment-agent -a claude-code

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

GitHub CLI
$ gh skill install Imbad0202/experiment-agent experiment-agent --agent claude-code

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

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
experiment-agent
GitHub stars
199
Token cost
~3.1k tokens
SKILL.md length
1,372 words
Files
44 (incl. scripts, references)
Skills in repo
1
Repo updated
First seen
Licence
CC-BY-NC-4.0

At a glance

Experiment executor and monitor for academic research. An agent skill from Imbad0202/experiment-agent.

  • Works in 5 steps: Detect intent from user's first message… → Code execution keywords → dispatch… → Human study keywords → dispatch… → …
  • A researcher wants to run
  • SKILL.md covers Quick Start, Trigger Keywords, Modes and Mode Selection, plus 9 more sections
  • Calls python3

What it does

Experiment Agent is an agent skill from Imbad0202/experiment-agent. Experiment executor and monitor for academic research. 2-agent system covering code experiments (ML training, statistical analysis, ETL, simulation) and human studies (surveys, field studies, interviews). 4 modes: run (execute + monitor code), manage (track human studies), validate (statistical interpretation + reproducibility verification), plan (Socratic experiment design). Use when a researcher wants to run or monitor a research experiment, manage or resume a human-subject study, check the statistics or…

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 49 other files, including scripts and reference files (for example `.claude/CLAUDE.md`, `.github/FUNDING.yml` and `.github/workflows/release-discipline.yml`).

It sits in Data & Analytics, covering Statistics, Reproducible research and Experimental design. The repository describes itself as: Claude Code skill for experiment execution, monitoring, statistical interpretation, and reproducibility verification.

When your agent uses it

  • A researcher wants to run
  • Monitor a research experiment
  • Resume a human-subject study
  • Check the statistics

Example prompts

  • “/experiment-agent”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Detect intent from user's first message using trigger keywords
  2. Code execution keywords → dispatch code_runner_agent (run mode)
  3. Human study keywords → dispatch study_manager_agent (manage mode)
  4. Validation keywords → enter validate mode (handled inline, see below)
  5. Design keywords → enter plan mode (handled inline, see below)

What it can do on your machine

Read from SKILL.md and the folder at commit 74c9835. 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

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Experiment Agent loads about 3.1k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 162 tokens; SKILL.md has 1,372 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~162
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~15k

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); the scripts in this folder are not scanned.

SKILL.md

Its licence (CC-BY-NC-4.0) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,372 words (~3,125 tokens).

“Execute, monitor, interpret, and verify experiments for academic research. Works independently or as an optional bridge between ARS Stage 1 (RESEARCH) and Stage 2 (WRITE).”

— opening of SKILL.md by Imbad0202, CC-BY-NC-4.0
name
experiment-agent
metadata.version
1.2.0
metadata.last_updated
2026-09-25
metadata.author
Cheng-I Wu
metadata.license
CC-BY-NC 4.0
metadata.status
active
metadata.related_skills
academic-pipeline, deep-research, academic-paper, academic-paper-reviewer

Read the full SKILL.md on GitHub

Files

SKILL.md and 43 other files (scripts, references) in the repository root of Imbad0202/experiment-agent.

  • SKILL.md
  • .claude/CLAUDE.md
  • .github/FUNDING.yml
  • .github/workflows/release-discipline.yml
  • .gitignore
  • .release-discipline.toml
  • CHANGELOG.md
  • LICENSE
  • README.md
  • README.zh-TW.md
  • VERSION
  • agents/code_runner_agent.md
  • agents/study_manager_agent.md
  • docs/plans/2026-05-02-session-resume-implementation.md
  • docs/plans/2026-09-24-study-state-checker-implementation.md
  • … and 29 more

Open the folder on GitHubat commit 74c9835

Compare with similar skills

Experiment Agent 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.

Experiment Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Experiment Agent this skillImbad0202/experiment-agent199—~3.1kAutomated safety check: PassCC-BY-NC-4.0
Pnas Statisticsfranklee16/academic-research-skills2231 repos~1kAutomated safety check: PassNone
Pnasnexus Statisticsbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
Bio Experimental Design Multiple TestingGPTomics/bioSkills1.2k1 repos~3.5kAutomated safety check: PassMIT
Scientific Critical Thinkingjaechang-hits/SciAgent-Skills3701 repos~4.7kAutomated safety check: PassCC-BY-4.0
Statistical Powerspacering-net/codeg3.8k2 repos~3.6kAutomated safety check: NotesMIT

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  • Pnas Statistics

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    223 GitHub starsUsed in 1 repo~1k tokens
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    1.2k GitHub stars~1.4k tokensUpdated 11 days ago
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  • 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…

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  • Scientific Critical Thinking

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  • Statistical Power

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Questions about Experiment Agent

What does Experiment Agent do?

Experiment executor and monitor for academic research. An agent skill from Imbad0202/experiment-agent. Experiment Agent is an agent skill from Imbad0202/experiment-agent. Experiment executor and monitor for academic research.

When should I use Experiment Agent?

Experiment Agent fits situations like: A researcher wants to run; monitor a research experiment; resume a human-subject study; check the statistics.

How do I install Experiment Agent in Claude Code?

Run `npx skills add Imbad0202/experiment-agent --skill experiment-agent -a claude-code`. Or copy the skill folder (the Imbad0202/experiment-agent repository) into .claude/skills/experiment-agent in your project. Claude Code loads it when a task matches its description.

How do I install Experiment Agent in Codex?

Run `npx skills add Imbad0202/experiment-agent --skill experiment-agent -a codex`. Or copy the skill folder (the Imbad0202/experiment-agent repository) into .agents/skills/experiment-agent in your project. Codex loads it when a task matches its description.

Can I use Experiment Agent 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 Imbad0202/experiment-agent --skill experiment-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/experiment-agent, .gemini/skills/experiment-agent, .github/skills/experiment-agent and .opencode/skills/experiment-agent in your project.

What does Experiment Agent need to run?

Going by SKILL.md and its folder, Experiment Agent needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Experiment Agent 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 Experiment Agent 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Experiment Agent use?

Experiment Agent is published under the CC-BY-NC-4.0 licence (from the LICENSE file in the skill folder).

How many tokens does Experiment Agent use?

About 3.1k tokens (SKILL.md is roughly 13k 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 11k tokens, read only when the agent opens those files.

What are the alternatives to Experiment Agent?

Skills that share tags, products or a category with Experiment Agent: Pnas Statistics (franklee16/academic-research-skills, 223 stars), Pnasnexus Statistics (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Bio Experimental Design Multiple Testing (GPTomics/bioSkills, 1.2k stars) and Scientific Critical Thinking (jaechang-hits/SciAgent-Skills, 370 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Experiment Agent?

Imbad0202 (a GitHub user) maintains it in Imbad0202/experiment-agent, which has 199 GitHub stars. The repository was last updated on September 25, 2026.

Source: Imbad0202/experiment-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.