Autonomous growth experimentation framework. An agent skill from evolution-foundation/evo-nexus.

Custom licenceAuto-check passedMarketing & SEO

Install Mkt Experiment

skills CLI
$ npx skills add evolution-foundation/evo-nexus --skill mkt-experiment -a claude-code

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

GitHub CLI
$ gh skill install evolution-foundation/evo-nexus mkt-experiment --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/evolution-foundation/evo-nexus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/mkt-experiment .claude/skills/mkt-experiment && 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
mkt-experiment
GitHub stars
545
Token cost
~1.2k tokens
SKILL.md length
382 words
Files
7
Skills in repo
117
Repo updated
First seen
Licence
Custom licence

At a glance

Autonomous growth experimentation framework. An agent skill from evolution-foundation/evo-nexus.

  • Works in 5 steps: Before creating content: playbook →… → When publishing: log → record which… → Periodically: score → check if… → …
  • Managing marketing experiments
  • SKILL.md covers Usage, Commands, Workflow and Configuration
  • Runs Python scripts from its folder; calls python3 and pip; needs PIPELINE_AUTH_TOKEN and RECRUITING_AUTH_TOKEN

What it does

Mkt Experiment is an agent skill from evolution-foundation/evo-nexus. Autonomous growth experimentation framework. Creates A/B/multivariate experiments with hypotheses, logs data points, runs statistical analysis (bootstrap CI + Mann-Whitney U), auto-promotes winners to a living playbook, and suggests next experiments. Use when creating or managing marketing experiments, logging data points, scoring experiments, or generating weekly scorecards.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `README.md`, `autogrowth-weekly-scorecard.py` and `experiment-engine.py`).

It sits in Marketing & SEO, covering A/B testing and Statistics. The repository describes itself as: The open source operating system for AI-powered businesses.

When your agent uses it

  • Managing marketing experiments
  • Logging data points
  • Scoring experiments
  • Generating weekly scorecards

Example prompts

  • “/mkt-experiment”

Requirements

  • Python 3
  • A credential in PIPELINE_AUTH_TOKEN
  • A credential in RECRUITING_AUTH_TOKEN

Workflow steps

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

  1. Before creating content: playbook → apply proven rules
  2. When publishing: log → record which variant was used and its metrics
  3. Periodically: score → check if experiments have reached statistical significance
  4. Weekly: autogrowth-weekly-scorecard.py → review all channels
  5. After completing experiments: suggest → pick the next variable to test

What it can do on your machine

Read from SKILL.md and the folder at commit 7f5dd76. 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 script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • PIPELINE_AUTH_TOKEN
    • RECRUITING_AUTH_TOKEN
    • EMAIL_AUTH_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mkt Experiment loads about 1.2k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 382 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 382 words (~1,213 tokens).

“Autonomous growth experimentation framework based on Karpathy's autoresearch pattern applied to marketing. Creates experiments with hypotheses, logs data points, runs statistical analysis (bootstrap CI + Mann-Whitney U), auto-promotes winners to a living playbook, and suggests next experiments. Supports batch mode…”

— opening of SKILL.md by evolution-foundation, Custom licence
name
mkt-experiment

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files in .claude/skills/mkt-experiment of evolution-foundation/evo-nexus.

  • SKILL.md
  • .env.example
  • README.md
  • autogrowth-weekly-scorecard.py
  • experiment-engine.py
  • pacing-alert.py
  • requirements.txt

Open the folder on GitHubat commit 7f5dd76

Compare with similar skills

Mkt Experiment 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.

Mkt Experiment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mkt Experiment this skillevolution-foundation/evo-nexus545—~1.2kAutomated safety check: PassCustom licence
Ab Test Analysisnimrodfisher/data-analytics-skills465—~708Automated safety check: PassMIT
Measure Experiment Resultsproduct-on-purpose/pm-skills715—~989Automated safety check: PassApache-2.0
A/B Test Analysisphuryn/pm-skills27k—~893Automated safety check: PassMIT
Experimentai-analyst-lab/ai-analyst304—~2kAutomated safety check: PassMIT
Statistical Analystalirezarezvani/claude-skills28k1 repos~2.5kAutomated safety check: PassMIT

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Questions about Mkt Experiment

What does Mkt Experiment do?

Autonomous growth experimentation framework. An agent skill from evolution-foundation/evo-nexus. Mkt Experiment is an agent skill from evolution-foundation/evo-nexus. Autonomous growth experimentation framework.

When should I use Mkt Experiment?

Mkt Experiment fits situations like: managing marketing experiments; logging data points; scoring experiments; generating weekly scorecards.

How do I install Mkt Experiment in Claude Code?

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

How do I install Mkt Experiment in Codex?

Run `npx skills add evolution-foundation/evo-nexus --skill mkt-experiment -a codex`. Or copy the skill folder (.claude/skills/mkt-experiment in evolution-foundation/evo-nexus) into .agents/skills/mkt-experiment in your project. Codex loads it when a task matches its description.

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

What does Mkt Experiment need to run?

Going by SKILL.md and its folder, Mkt Experiment needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip) and credentials named PIPELINE_AUTH_TOKEN, RECRUITING_AUTH_TOKEN and EMAIL_AUTH_TOKEN. Our summary lists: Python 3; A credential in PIPELINE_AUTH_TOKEN; A credential in RECRUITING_AUTH_TOKEN.

Does Mkt Experiment access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Mkt Experiment 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 Mkt Experiment use?

Mkt Experiment 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 Mkt Experiment use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Mkt Experiment?

Skills that share tags, products or a category with Mkt Experiment: Ab Test Analysis (nimrodfisher/data-analytics-skills, 465 stars), Measure Experiment Results (product-on-purpose/pm-skills, 715 stars), A/B Test Analysis (phuryn/pm-skills, 27k stars) and Experiment (ai-analyst-lab/ai-analyst, 304 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mkt Experiment?

evolution-foundation (a GitHub organization) maintains it in evolution-foundation/evo-nexus, which has 545 GitHub stars. The repository holds 117 skills in this directory. The repository was last updated on May 13, 2026.

Source: evolution-foundation/evo-nexus on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.