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 agentmods add skills/ahad690/open-app-intel/appscopenpx skills add Ahad690/open-app-intel --skill appscopegit clone --depth 1 https://github.com/Ahad690/open-app-intelWrote 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/ahad690/open-app-intel/appscope)<a href="https://agentmods.dev/skills/ahad690/open-app-intel/appscope"><img src="https://agentmods.dev/badge/skills/ahad690/open-app-intel/appscope.svg" alt="Measured on agentmods" 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 | $0.00103 | $0.01403 |
| Opus 5 | $0.00051 | $0.00701 |
| Sonnet 5 | $0.00021 | $0.00281 |
| Haiku 4.5 | $0.00010 | $0.00140 |
Grade A, and why
appscope 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AppScope — honest app market intelligence
Self-hosted app intel from data captured on the user's own machine. Every number is produced by a documented model on real, locally-captured data, with a confidence label, method tag, and flags. The system refuses to fabricate the figures vendors model from private panels.
When to use
The user asks: how many downloads does app X get; estimate an app's revenue; what rank is an app; track a competitor app; app-store market research / ASO intelligence.
Hard rules (NON-NEGOTIABLE)
- Never invent an app-market number. Downloads, revenue, ranks, installs,
review counts come ONLY from
python3 -m appscope.cli ...output. Surface the JSON envelopes verbatim. - Estimates are ranges, capped at MEDIUM confidence. Observed facts (ranks, install buckets, review counts) are HIGH. Never present an estimate as a fact.
- Refuse what can't be known: dollar ad spend (intensity proxies only) and panel-grade installs are never modeled. Say so if asked.
- Uncalibrated segment → "no data", plus how to fix it (collect Android
anchor apps in that category, or
refresh_datasetto pull community anchors). Never fill the gap with a guess. - Local-first. The DB, ads, and creator data stay on the machine. Only public calibration anchors are ever shared, opt-in (see Federation).
Run every command from the plugin root:
cd ${CLAUDE_PLUGIN_ROOT} && python3 -m appscope.cli <cmd> ...
(First run: copy config.sample.json to config.json if missing.)
Workflow
Step 1 — Intake (ONE message)
Ask for: the app (name + a store URL, or the id directly), platform if
ambiguous, and country (default us). Resolve the id yourself from a store
URL — iOS ids are the digits after /id (e.g. .../id284882215 → 284882215);
Android ids are the ?id= package (e.g. ?id=com.spotify.music). If only a
name is given, ask for the store link — do NOT guess ids.
Step 2 — Collect (writes are append-only; nothing is overwritten)
python3 -m appscope.cli collect --app <id> — metadata, install buckets
(Android), reviews. Add --charts to also capture the Apple top charts (needed
for rank-based estimates). Report what was collected.
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 First seen · 109 lines · 103 tokens per session scan A 42aefb0f9d9d
appscope is a skill published in the GitHub repository Ahad690/open-app-intel (0 stars, last pushed 27d ago), licensed MIT. It adds 103 tokens to every session and 1,403 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 2026-08-31.
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