game-screenshot-showcase-and-store-packaging

game-screenshot-showcase-and-store-packaging is a skill for Codex from hoatv2211/GameStudio-CodexKIT. It costs 44 tokens per session (1,592 once invoked), scanned A, original, MIT.

An approval-based workflow for capturing and packaging Unity game screenshots for showcases and store listings. It preserves raw capture evidence and does not upload, sign, or submit anything.

In plain words
What is it for?
Use it to choose capture moments, propose a checklist, capture approved PlayMode scenes, visually review images, create contact sheets or slide decks, and package approved files for Steam, mobile, or WebGL listings.
Why use it?
It keeps screenshot work reviewable and prevents unapproved storefront actions or accidental loss of the original evidence.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to choose capture moments, propose a checklist, capture approved PlayMode scenes, visually review images, create contact sheets or slide decks, and package approved files for Steam, mobile, or WebGL listings.

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Install with agentmods
npx agentmods add skills/hoatv2211/gamestudio-codexkit/game-screenshot-showcase-and-store-packaging
Install

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.

Any agent
npx skills add hoatv2211/GameStudio-CodexKIT --skill game-screenshot-showcase-and-store-packaging
Clone the repo
git clone --depth 1 https://github.com/hoatv2211/GameStudio-CodexKIT

Made for: Codex.

Wrote 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.

agentmods badge for game-screenshot-showcase-and-store-packaging

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoatv2211/gamestudio-codexkit/game-screenshot-showcase-and-store-packaging/github.svg)](https://agentmods.dev/skills/hoatv2211/gamestudio-codexkit/game-screenshot-showcase-and-store-packaging)
Your own site
<a href="https://agentmods.dev/skills/hoatv2211/gamestudio-codexkit/game-screenshot-showcase-and-store-packaging"><img src="https://agentmods.dev/badge/skills/hoatv2211/gamestudio-codexkit/game-screenshot-showcase-and-store-packaging/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for game-screenshot-showcase-and-store-packaging

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoatv2211/gamestudio-codexkit/game-screenshot-showcase-and-store-packaging"><img src="https://agentmods.dev/badge/skills/hoatv2211/gamestudio-codexkit/game-screenshot-showcase-and-store-packaging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,592 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.01592
Opus 5 $0.00022 $0.00796
Sonnet 5 $0.00009 $0.00318
Haiku 4.5 $0.00004 $0.00159

Measured 11d ago against content hash e4d8f0c6c5b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

game-screenshot-showcase-and-store-packaging 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/screenshot_showcase.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/game-screenshot-showcase-and-store-packaging/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Game Screenshot Showcase and Store Packaging

Overview

Capture and package Unity screenshots through an approval-gated workflow: discover the target moments, propose the exact checklist, capture only after approval, review the images visually, and package approved outputs without overwriting raw evidence or taking storefront actions.

Provenance

This workflow is conceptually inspired by ParthJadhav/app-store-screenshots (MIT). No source text or code was copied into this skill.

When to use

Use for Unity PlayMode feature capture, showcase contact sheets, approved slide decks, and report-only screenshot packaging for Steam, mobile stores, or WebGL listings.

When NOT to use

Do not use for qualitative playtest synthesis without capture/package scope; route that work to playtest-evidence. Do not use to upload assets, sign binaries, accept legal terms, log into storefront accounts, or press submit; route publication readiness to store-submission-checklist. If the core question is runtime execution proof, Unity build proof, or a missing HUD/widget, route to build-and-runtime-verification, unity-batchmode-build-verification, or unity-ui-rendering-debugging.

Required inputs and context discovery

Collect the Unity project root, target scenes or entry points, feature beats to capture, viewport/device targets, locale, intended store/platform, approved evidence/output roots, privacy redaction rules, reviewer identity, and whether a Unity Editor or PlayMode runner is actually available.

Safety and risk level

This workflow may write new evidence files and report-only HTML/JSON outputs, but it must never overwrite raw captures, delete rejected evidence, traverse outside approved roots, consume credentials, or perform upload/signing/submission. Redact or exclude player names, email addresses, account IDs, chats, or other sensitive content that appears in screenshots.

Workflow

  1. Discover. Completion criterion: the exact feature moments, scenes, capture roots, device targets, and no-touch paths are named, and adjacent concerns are routed to playtest-evidence, build-and-runtime-verification, unity-batchmode-build-verification, unity-ui-rendering-debugging, or store-submission-checklist when they are the real owner.
  2. Propose the interactive checklist. Completion criterion: an explicit capture-plan is prepared with ordered flows, viewport, locale, timeout, reviewer, and approval state, and no capture starts before human approval.
  3. Capture only after approval. Completion criterion: Unity Editor or PlayMode capture runs only after approval, raw files are preserved as immutable evidence, and each capture yields a capture-record with hash, byte size, dimensions, build/editor snapshot, runtime result, visual review placeholder, and limitations. If Unity Editor, PlayMode, or the approved runtime path is unavailable, this phase is BLOCKED; do not substitute old screenshots, mocked renders, or compile confidence.
  4. Visual review. Completion criterion: approved and rejected captures remain traceable through verify-capture results and an HTML contact sheet, and runtime verdicts stay separate from visual verdicts. A visually strong image with weak runtime evidence is not a runtime PASS; a runtime PASS does not auto-approve composition, crops, or messaging.
  5. Package. Completion criterion: only approved showcase selections become a showcase-deck and store-export-manifest, store readiness stays separate from runtime and visual verdicts, and packaging remains report-only with no resizing, upload, signing, or submission.

Read the full file on GitHub · 112 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 11d ago First seen · 112 lines · 44 tokens per session scan A e4d8f0c6c5b1

Subscribe to this mod's changes

game-screenshot-showcase-and-store-packaging is a skill published in the GitHub repository hoatv2211/GameStudio-CodexKIT (3 stars, last pushed 4d ago), licensed MIT. It adds 44 tokens to every session and 1,592 once invoked, about $0.0002 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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