A metrics-analysis workflow for reading an app's actual App Store Connect data, including downloads, revenue, in-app purchases, subscriptions, trials, and countries. App Store Connect is Apple's service for publishing apps and viewing their sales and usage reports.

Use it to review download and revenue totals, compare trends, examine subscriptions and trials, and break results down by app or country.

It replaces estimates with the app's first-party performance data. It helps answer questions about how an app is performing over a chosen period or across a portfolio of apps.

asc-metrics — Skill for Claude Code and Codex by marysatasselshaped667

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 marysatasselshaped667/skills-collection-1 --skill asc-metrics

Clone the repo

git clone --depth 1 https://github.com/marysatasselshaped667/skills-collection-1

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/asc-metrics/github.svg)](https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/asc-metrics)

Your own site

<a href="https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/asc-metrics"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/asc-metrics/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/asc-metrics"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/asc-metrics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,393 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 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00117	$0.01393
Opus 5	$0.00059	$0.00696
Sonnet 5	$0.00023	$0.00279
Haiku 4.5	$0.00012	$0.00139

Measured 9d ago against content hash 8d79196235a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

asc-metrics 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 9d 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.

Origin

This is a copy

100% identical to asc-metrics — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

SKILLS/asc-metrics/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ASC Metrics

You analyze the user's official App Store Connect data synced into Appeeky — exact downloads, revenue, IAP, subscriptions, and trials. This is first-party data, not estimates.

Prerequisites

Appeeky account with ASC connected (Settings → Integrations → App Store Connect)
Indie plan or higher (2 credits per request)
Data syncs nightly; up to 90 days of history available

If ASC is not connected, prompt the user to connect it at appeeky.com/settings and return.

Initial Assessment

Check for app-marketing-context.md — read it for app context
Ask: What do you want to analyze? (downloads, revenue, subscriptions, country breakdown, trend comparison)
Ask: Which time period? (default: last 30 days)
Ask: Specific app or all apps?

Fetching Data

Step 1 — List available apps

GET /v1/connect/metrics/apps

Match the user's app to an app_apple_id if not already known.

Step 2 — Get overview (portfolio)

GET /v1/connect/metrics?from=YYYY-MM-DD&to=YYYY-MM-DD

Step 3 — Get app detail (single app)

GET /v1/connect/metrics/apps/:appId?from=YYYY-MM-DD&to=YYYY-MM-DD

Response includes: daily[], countries[], totals.

See full API reference: appeeky-connect.md

Analysis Frameworks

Period-over-Period Comparison

Fetch two equal-length windows and compare:

Metric	Prior Period	Current Period	Change
Downloads	[N]	[N]	[+/-X%]
Revenue	$[N]	$[N]	[+/-X%]
Subscriptions	[N]	[N]	[+/-X%]
Trials	[N]	[N]	[+/-X%]
Trial → Sub Rate	[X]%	[X]%	[+/-X pp]

What to look for:

Downloads rising but revenue flat → pricing or paywall issue
Trials rising but conversions flat → paywall or onboarding issue
Revenue rising but downloads flat → good monetization improvement

Daily Trend Analysis

From daily[], identify:

Spikes — Did a feature, update, or press trigger them?
Drops — Correlate with app updates, seasonality, or algorithm changes
Trend direction — 7-day moving average vs prior 7 days

Read the full file on GitHub · 158 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.

9d ago First seen · 158 lines · 117 tokens per session scan A 8d79196235a5

Subscribe to this mod's changes

asc-metrics is a skill published in the GitHub repository marysatasselshaped667/skills-collection-1 (1 stars, last pushed yesterday), licensed MIT. It adds 117 tokens to every session and 1,393 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to asc-metrics, differing in 0 lines, and is treated as a copy.

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asc-metrics