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.
git clone --depth 1 https://github.com/avelikiy/great_ctonpx agentmods add agents/avelikiy/great_cto/growth-engineerWrote 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.
[](https://agentmods.dev/agents/avelikiy/great_cto/growth-engineer)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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
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.
- 3d ago Changed 76b3209ffe9f
- 6d ago Changed · -30 tokens per session 41b613594a44
- 9d ago First seen · 240 lines · 132 tokens per session scan A b058634ed87a
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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