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.
npx skills add akoskomuves/appstoreconnect-mcp --skill ppp-rebalancegit clone --depth 1 https://github.com/akoskomuves/appstoreconnect-mcpWrote 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/skills/akoskomuves/appstoreconnect-mcp/ppp-rebalance)<a href="https://agentmods.dev/skills/akoskomuves/appstoreconnect-mcp/ppp-rebalance"><img src="https://agentmods.dev/badge/skills/akoskomuves/appstoreconnect-mcp/ppp-rebalance/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/skills/akoskomuves/appstoreconnect-mcp/ppp-rebalance"><img src="https://agentmods.dev/badge/skills/akoskomuves/appstoreconnect-mcp/ppp-rebalance.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 | $0.00084 | $0.01669 |
| Opus 5 | $0.00042 | $0.00834 |
| Sonnet 5 | $0.00017 | $0.00334 |
| Haiku 4.5 | $0.00008 | $0.00167 |
Grade A, and why
ppp-rebalance 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 12d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PPP rebalance
You are helping the user rebalance their iOS app's subscription prices across App Store territories using a Purchasing Power Parity index. The appstoreconnect-mcp server is connected and provides the necessary tools.
The MCP does the math for you — ppp_compute_proposal is the single tool that produces the dry-run table. Your job is to drive the conversation, validate the proposal with the user, and apply it via the write tools.
Workflow
Run these phases in order. Never skip the dry-run.
1. Discover the subscription
If the user hasn't named the app + subscription:
asc_list_apps— find the app (filter by bundle ID if known).asc_list_subscription_groupsfor that app.asc_list_subscriptionsfor the relevant group.- Confirm with the user which subscription is being repriced and the anchor base price (e.g.
$29.99 USD).
2. Compute the proposal (dry-run)
ppp_compute_proposal(
subscriptionId: "...",
basePriceAnchor: 29.99,
anchorTerritory: "USA",
roundStrategy: "nearest" // or "down" / "up"
)
The tool:
- Fetches the current price schedule for every territory.
- Loads the bundled Apple Music index (
ppp_load_indexshows the snapshot). - Computes a PPP factor per territory using Apple Music ratios as implied PPP-FX.
- Fetches the valid price points for every territory whose target differs from current, in parallel.
- Snaps each target to the nearest valid Apple price point.
- Applies a 15% floor (
floorFactor) so a bad index entry can't crash the price. - Returns a compact table with current, target, snapped, Δ%, factor, and a NOTE column for skipped/no-data rows.
Show the table to the user. Stop and wait for explicit approval before any writes.
3. Iterate the proposal if needed
If the user wants to tweak:
- Different round strategy: re-run with
roundStrategy: "down"(more conservative for emerging markets) or"up"(more revenue-protective). - Subset of territories: pass
territories: ["BRA", "MEX", "ARG", "TUR", "IND", "IDN"]to scope the proposal. - Different base price: change
basePriceAnchor. - Show all rows including unchanged: pass
skipUnchanged: false. - Surface no-index rows: pass
skipMissingIndex: falseso the user can see which territories Apple Music data is missing for.
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.
- 12d ago First seen · 135 lines · 84 tokens per session scan A 51e4311d5dc3
ppp-rebalance is a skill published in the GitHub repository akoskomuves/appstoreconnect-mcp (5 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 1,669 once invoked, about $0.0004 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 2026-08-31.
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