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.
git clone --depth 1 https://github.com/christopherlouet/claude-baseWrote 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/commands/christopherlouet/claude-base/growth-app-store-analytics)<a href="https://agentmods.dev/commands/christopherlouet/claude-base/growth-app-store-analytics"><img src="https://agentmods.dev/badge/commands/christopherlouet/claude-base/growth-app-store-analytics/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/commands/christopherlouet/claude-base/growth-app-store-analytics"><img src="https://agentmods.dev/badge/commands/christopherlouet/claude-base/growth-app-store-analytics.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 | $0.00000 | $0.00360 |
| Opus 5.5 | $0.00000 | $0.00144 |
| Sonnet 5.5 | $0.00000 | $0.00072 |
| Haiku 4.5 | $0.00000 | $0.00036 |
Grade A, and why
growth-app-store-analytics 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 1mo 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.
What it actually says
APP-STORE-ANALYTICS Agent
Monitoring of App Store and Google Play metrics via official APIs.
Target
$ARGUMENTS
Goal
Set up a pipeline to collect store metrics (downloads, revenue, ratings, retention, crashes) with Prometheus export and Grafana dashboards.
Workflow
- Configure credentials (App Store Connect API + Google Play Developer API)
- Deploy the Prometheus exporter (Python) with Apple and Google collectors
- Configure the metrics (downloads, users, revenue, ratings, conversion, crashes)
- Create the Grafana dashboards (overview, trends, geo, ratings)
- Configure the alerts (downloads drop, bad reviews, crash rate)
- Set up the automatic weekly report
Expected output
Configuration
- Credentials configured (Apple + Google)
- Exporter deployed and operational
Dashboards
- Overview (downloads, rating, subscribers, revenue, conversion, crashes)
- 30-day trends, geo, retention curve
Alerts
- Downloads drop > 50%, bad review spike, rating < 4.0, crash rate > 1%
Related agents
| Agent | When to use it |
|---|---|
/ops:ops-mobile-release |
Publish to the stores |
/growth:growth-analytics |
In-app analytics |
/ops:ops-grafana-dashboard |
Custom dashboards |
/growth:growth-retention |
Retention strategies |
IMPORTANT: Data is available with a 24-48h delay.
YOU MUST secure the credentials (never commit them).
NEVER exceed the API rate limits (Apple: 1000 req/h, Google: 200 req/s).
Think hard about the metrics that really matter for the app's growth.
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.
- 1mo ago First seen · 52 lines · 0 tokens per session scan A 7b522b07c047
growth-app-store-analytics is a command published in the GitHub repository christopherlouet/claude-base (5 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 360 tokens. 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 2026-09-03.
Other commands, from other repositories
migrate
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update-counts
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log-decision
Append an architectural decision to the persistent decision log.
session-log
Explain where session history lives now that the toolkit keeps no session log.
update-docs
Scan recently modified files and update the matching documentation.
backup-config
Backup Claude Code configuration files.