SKILLEMALL.ai

AB asc-release-flow

Orchestrate App Store releases with asc, including staging a version, uploading or building an artifact, publishing, and submitting for review. Use when the user wants to prepare or execute a release. Keep Game Center item preparation in this skill; route other readiness failures, stuck submissions, cancellation, and retry decisions to asc-submission-health.

The skillemall take

This skill orchestrates App Store releases: stages versions, uploads or builds artifacts, publishes, and submits for review. All four steps sit in one place according to the description.

Grade A with 88 quality and 100 safety score. No critical findings, linter passes. Two files, 1928 tokens—reasonable for an orchestrator. Process score 68 means execution won't lag, though it's not lightning-fast. Game Center prep stays here; other issues (stuck submissions, cancellations, retries) route to asc-submission-health.

Supports Claude, Cursor, Copilot, DeepSeek, and eight more platforms. Safe to install—quality is documented, security checks pass, responsibility split with the sibling skill is clear.

rorkai/app-store-connect-cli-skills Agent Skills author: rorkai 2 files body ≈ 1 928 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Orchestrate App Store releases with asc, including staging a version, uploading or building an artifact, publishing, and submitting for review.

As a process B 68/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

AnalyzerData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
68/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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 · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 68/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 18 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 1928 tokens
    • 100Running it twice. Mutating operations check current state
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 top-level sections: this looks like several domains in one skill

    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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 360: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 18 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.