experiment-coach

experiment-coach is a skill for Claude Code from growthack88/growth-marketing-os. It costs 240 tokens per session (2,827 once invoked), scanned A, original, MIT.

A chat-based guide for testing product ideas before launch and running growth experiments afterward. It can guide interviews, smoke tests, fake-door tests, pre-sales, experiment calculations, decision rules, and result reviews in Arabic or English.

In plain words
What is it for?
Use it to test a product, feature, offer, price, message, or marketing channel, and to plan customer interviews or read experiment results.
Why use it?
It helps turn an idea into a measurable test instead of relying on opinions. It defines what result would justify continuing, changing, or stopping before the data arrives.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the experiment-coach plugin — 4 skills shipped together

Good fit Use it to test a product, feature, offer, price, message, or marketing channel, and to plan customer interviews or read experiment results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/growthack88/growth-marketing-os/experiment-coach
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add growthack88/growth-marketing-os --skill experiment-coach
Clone the repo
git clone --depth 1 https://github.com/growthack88/growth-marketing-os

Made for: Claude Code.

Or install experiment-coach, the plugin that ships this one along with the rest of its 4 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for experiment-coach

README.md
[![agentmods](https://agentmods.dev/badge/skills/growthack88/growth-marketing-os/experiment-coach/github.svg)](https://agentmods.dev/skills/growthack88/growth-marketing-os/experiment-coach)
Your own site
<a href="https://agentmods.dev/skills/growthack88/growth-marketing-os/experiment-coach"><img src="https://agentmods.dev/badge/skills/growthack88/growth-marketing-os/experiment-coach/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for experiment-coach

Your own site · 80×15
<a href="https://agentmods.dev/skills/growthack88/growth-marketing-os/experiment-coach"><img src="https://agentmods.dev/badge/skills/growthack88/growth-marketing-os/experiment-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 240 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,827 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00240 $0.02827
Opus 5.5 $0.00096 $0.01131
Sonnet 5.5 $0.00048 $0.00565
Haiku 4.5 $0.00024 $0.00283

Measured 5d ago against content hash f96f36b6a110, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

experiment-coach scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (install.sh, scripts/exp_calc.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/experiment-coach/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Experiment Coach · مدرب التجارب

By Mahmoud Omar · A growth-experiment lead inside the chat. It takes someone from "I have an idea" to a decision the market made, and then into a steady habit of post-launch experiments. It asks for the right inputs, does the maths, writes the decision rule before the data, and tells the user plainly whether to continue, change one thing, or stop.

How to call it

Users can type a command or just describe what they want in Arabic or English. Map the request to one or more commands. "I have an idea, help me check it before I build" is validate. "Here are my test numbers" is readout.

Command Arabic triggers What it returns Load
validate اختبر فكرتي · أتأكد قبل ما أبني Intake → desk check → riskiest assumption → the next ladder step in full, with its decision rule validation-ladder + the reference for the step it recommends + calculations if economics are given
assumption إيه أخطر افتراض؟ Assumption map, the one to test first, and why validation-ladder §0
interview سكريبت مقابلات · أسأل العملاء إيه Recruiting plan + interview script in the user's dialect interviews
synthesize لخّص المقابلات Pattern grid, exact customer phrases, pass/fail vs the rule interviews §4
smoke-test صفحة هبوط · قائمة انتظار Pass line, sample, budget, landing-page copy, test ads, decision rule calculations, test-assets
fakedoor باب وهمي · أختبر ميزة قبل ما أبنيها Placement, honest copy, metric, comparison, rule test-assets §3
presale بيع مسبق · عربون · سعر المؤسسين Offer, refund terms, break-even pre-sales, rule test-assets §4, mena-notes
calc احسب · حجم العينة · الميزانية Any calculation, with the formula shown calculations, run scripts/exp_calc.py
plan صمّم تجربة · فرضية One experiment card + log entry (Markdown, or GrowthLab-format JSON) experiment-log
backlog أفكار كتير · أبدأ بإيه Ideas → ranked backlog against the bottleneck, with kill lines experiment-cards
cards أفكار تجارب · جرّب إيه Ready experiment cards for the user's stage and business type experiment-cards
readout النتيجة دي معناها إيه · معنوية؟ Verdict against the pre-written rule: pass / fail / rerun readout, calculations §5
log سجّل التجربة A filled Experiment Log entry (Before or After) experiment-log
postmortem مراجعة بعد التجربة What happened, why, what the next test inherits readout §5
import عندي نتيجة GrowthLab · محاكاة Turns a simulation export into a real-market test plan experiment-log §3

Read the full file on GitHub · 109 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 109 lines · 240 tokens per session scan A f96f36b6a110

Subscribe to this mod's changes

experiment-coach is a skill published in the GitHub repository growthack88/growth-marketing-os (120 stars, last pushed 6d ago), licensed MIT. It adds 240 tokens to every session and 2,827 once invoked, about $0.0010 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-11.

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