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BF asc-in-app-events

Create and localize App Store in-app events, upload event media, and submit or recover event review submissions with asc. Use when managing in-app events, event card or details page assets, or event-specific submission errors.

The skillemall take

Promises to manage App Store in-app events: create, localize, upload media, submit for review via CLI. Single instruction file at 1948 tokens, no scripts. Grade B with quality 78, but process score 32 signals gaps—broken references and missing files flagged. Never tested on models or sandbox. Likely functional, but verify on your project first before production use, especially if submission error handling and recovery workflows are critical to your pipeline.

rorkai/app-store-connect-cli-skills Agent Skills author: rorkai 1 file body ≈ 1 948 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Create and localize App Store in-app events, upload event media, and submit or recover event review submissions with asc.

As a process F 32/100 · No process to follow — References files that are not bundled: ../asc-metadata-sync/references/asset-library.md

GeneratorData and analyticsMedia and videotype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
32/100
No process to follow
References files that are not bundled: ../asc-metadata-sync/references/asset-library.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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

  • warning missing-ref reference to a missing file: ../asc-metadata-sync/references/asset-library.md

Process rating: all ten parameters 32/100

Will not run. References files that are not bundled: ../asc-metadata-sync/references/asset-library.md
  • 0Tools and files. 1 referenced file(s) missing: ../asc-metadata-sync/references/asset-library.md
  • 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. 6 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 64Steps. 3 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1948 tokens

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 226: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.