CB apify-app-store-intelligence
Pull structured Apple App Store and Google Play data — app metadata, price, rating, the 1–5★ ratings histogram, version, developer, and reviews — and watch it for changes over time. Use when the user asks to look up an iOS or Android app by App ID, bundle ID, package name or app name, compare a set of competitor apps across both stores, monitor a competitor's price or rating for changes, track when an app ships a new version, scrape App Store or Google Play reviews, resolve a bundle ID to a full app record, check an app's rating across multiple country storefronts, build an ASO or app-market dataset, or set up a recurring app-store watch on an app's price, rating and version. One routed Actor, praise-most-high/app-store-intelligence, is built by this skill's author; every other row is unaffiliated (see Disclosure).
Pull structured Apple App Store and Google Play data — app metadata, price, rating, the 1–5★ ratings histogram, version, developer, and reviews — and watch it…
As a process B 68/100 · Nearly there — weak spots: result and completion, running it twice
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.
Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".
How to improve
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 1
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high Concealment
en-hide-from-userreferences/actor-index.md:26Instruction to hide actions from the user| 1–5★ ratings histogram, charts, in-app purchases | `sourabhbgp/apple-app-store-scraper` | community | `mode` (required, **no default** — the Console prefills `search`), `countries` (default `["us"]`
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "author_url"
Process rating: all ten parameters 68/100
- 0Result and completion. Does not say what the result is
- 30Running it twice. 3 mutating operations with no state check
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 25 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3216 tokens
- 100Progress reporting. Reports progress
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 826: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 9 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (0 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.