SKILLEMALL.ai

BD asc-ad-hoc-distribution

Prepare, publish, resume, and verify private iOS release-testing installs with asc distribute. Use when distributing an IPA to registered devices outside TestFlight, reconciling ad hoc profiles, publishing through caller-owned S3-compatible storage, or diagnosing a resumable private distribution run.

The skillemall take

This skill handles private iOS releases via App Store Connect: prepare IPAs, publish to S3-compatible storage, resume interrupted distributions, verify ad hoc profiles. Single instruction file at 1750 tokens, no scripts. Quality score 84, safety 100, but process score sits at 48. No critical errors found, medium-level findings unreported.

Requires App Store Connect CLI and S3 access. Positioned as diagnostic for private testing, yet no model runs clarify how well it handles ad hoc profiles or session recovery. Worth installing if you have S3 infrastructure and ASC experience already—otherwise expect to spend time decoding documentation without guarantees it'll work for your setup.

rorkai/app-store-connect-cli-skills Agent Skills author: rorkai 1 file body ≈ 1 750 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Prepare, publish, resume, and verify private iOS release-testing installs with asc distribute.

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
48/100
Unfinished process
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: 1. 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 48/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 8 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 13 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1750 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 301: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (8 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.