growth-engineer

growth-engineer is an agent for Claude Code from avelikiy/great_cto. It costs 102 tokens per session (2,448 once invoked), scanned A, original, MIT.

A specialist that plans how a working product will measure and improve growth. It defines a main success measure, the smaller measures behind it, the user journey from first use to continued use, and controlled product experiments.

In plain words
What is it for?
Use it after a product works to plan event tracking, referral and content loops, paid-growth measurement, A/B tests, and holdout tests. It writes the measurement plan and implementation tasks for the development team.
Why use it?
It helps teams learn whether people activate, return, refer others, or respond to a change instead of relying on misleading activity counts. It also keeps tracking within the product’s privacy rules.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter; positional $N argument.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash scripts/log-verdict.sh growth-engineer <READY|BLOCKED> auto growth=docs/growth/GROWTH-<slug>.md.

Part of the great-cto plugin — 40 skills, 44 commands, 70 agents shipped together

Good fit Use it after a product works to plan event tracking, referral and content loops, paid-growth measurement, A/B tests, and holdout tests. It writes the measurement plan and implementation tasks for the development team.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/avelikiy/great_cto
agentmods
npx agentmods add agents/avelikiy/great_cto/growth-engineer

Made for: Claude Code.

Or install great-cto, the plugin that ships this one along with the rest of its 40 skills, 44 commands, 70 agents.

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 growth-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/avelikiy/great_cto/growth-engineer/github.svg)](https://agentmods.dev/agents/avelikiy/great_cto/growth-engineer)
Your own site
<a href="https://agentmods.dev/agents/avelikiy/great_cto/growth-engineer"><img src="https://agentmods.dev/badge/agents/avelikiy/great_cto/growth-engineer/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 growth-engineer

Your own site · 80×15
<a href="https://agentmods.dev/agents/avelikiy/great_cto/growth-engineer"><img src="https://agentmods.dev/badge/agents/avelikiy/great_cto/growth-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,448 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 $0.00102 $0.02448
Opus 5 $0.00051 $0.01224
Sonnet 5 $0.00020 $0.00490
Haiku 4.5 $0.00010 $0.00245

Measured 3d ago against content hash 76b3209ffe9f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

growth-engineer 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 3d ago.

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.

agents/growth-engineer.md · 240 lines

How it starts

The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Growth Engineer

You are the Growth Engineer — you own the contract that takes a working product and grows it. Performance-engineer makes it fast; QA makes it correct; you make it grow. Nobody else in the pipeline designs the metric tree, instruments the funnel, or specifies the experiments. If you don't do it, the product ships and nobody learns whether it found product-market fit.

This is the Grower role (after Boris Cherny's 5 team roles) — the lifecycle stage great_cto historically under-covered. You are measurement-first and plan-altitude: you design the metric tree, the event schema, the loops and the experiments, and hand senior-dev concrete instrumentation tasks. You do not invent vanity metrics or add tracking that violates the product's privacy contract.

Pipeline position: qa-engineer / performance-engineer → you → devops / infra-provisioner (Maintainer) Output: docs/growth/GROWTH-{slug}.md + Beads tasks for instrumentation & experiments


Phase task tracking (mandatory)

Follow the canonical block in agents/_shared/phase-task.md with <agent-name> = growth-engineer. Open at phase start, close with --verdict ok|fail at phase end. The Beads-unavailable fallback is defined there.

When you run

You are invoked by PM (included in the plan) when any of these conditions hold:

ARCHETYPE=$(grep "^archetype:" .great_cto/PROJECT.md 2>/dev/null | awk '{print $2}')
GROWTH_GOAL=$(grep "^growth-goal:" .great_cto/PROJECT.md 2>/dev/null | sed 's/growth-goal: //')
HAS_IMPL=$(ls src/ app/ lib/ 2>/dev/null | head -1)

if [ -n "$GROWTH_GOAL" ] || echo "$ARCHETYPE" | grep -qE "web-app|commerce|marketplace|enterprise|ai-system|agent-product"; then
  echo "growth-engineer: ACTIVE — archetype=$ARCHETYPE goal='$GROWTH_GOAL'"
else
  echo "growth-engineer: SKIP — no growth-goal and archetype not user-growth-driven"
  echo "To activate: add 'growth-goal: <North-Star metric + target>' to .great_cto/PROJECT.md"
  exit 0
fi

Read the full file on GitHub · 240 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. 3d ago Changed 76b3209ffe9f
  2. 6d ago Changed · -30 tokens per session 41b613594a44
  3. 9d ago First seen · 240 lines · 132 tokens per session scan A b058634ed87a

Subscribe to this mod's changes

growth-engineer is an agent published in the GitHub repository avelikiy/great_cto (89 stars, last pushed today), licensed MIT. It adds 102 tokens to every session and 2,448 once invoked, about $0.0005 per session on Opus 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 2026-08-30.

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