Install
$ agentstack add skill-frabcd-codex-ai-game-studio-onboard ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
> Port provenance: adapted from the pinned upstream source at 984023ddac0d5e27624f2baacde6105e45de375f under MIT; see the repository parity ledger for the exact path and blob.
Phase 1: Load Project Context
Read AGENTS.md for project overview and standards.
Read the relevant agent definition from .codex/agents/ if a specific role is specified.
Phase 2: Scan Relevant Area
- For programmers: scan
src/for architecture, patterns, key files - For designers: scan
design/for existing design documents - For narrative: scan
design/narrative/for world-building and story docs - For QA: scan
tests/for existing test coverage - For production: scan
production/for current sprint and milestone
Read recent changes (git log if available) to understand current momentum.
Phase 3: Generate Onboarding Document
# Onboarding: [Role/Area]
## Project Summary
[2-3 sentence summary of what this game is and its current state]
## Your Role
[What this role does on this project, key responsibilities, who you report to]
## Project Architecture
[Relevant architectural overview for this role]
### Key Directories
| Directory | Contents | Your Interaction |
|-----------|----------|-----------------|
### Key Files
| File | Purpose | Read Priority |
|------|---------|--------------|
## Current Standards and Conventions
[Summary of conventions relevant to this role from AGENTS.md and agent definition]
## Current State of Your Area
[What has been built, what is in progress, what is planned next]
## Current Sprint Context
[What the team is working on now and what is expected of this role]
## Key Dependencies
[What other roles/systems this role interacts with most]
## Common Pitfalls
[Things that trip up new contributors in this area]
## First Tasks
[Suggested first tasks to get oriented and productive]
1. [Read these documents first]
2. [Review this code/content]
3. [Start with this small task]
## Questions to Ask
[Questions the new contributor should ask to get fully oriented]
Phase 4: Save Document
Present the onboarding document to the user.
Ask: "May I write this to production/onboarding/onboard-[role]-[date].md?"
If yes, write the file, creating the directory if needed.
Phase 5: Next Steps
Verdict: COMPLETE — onboarding document generated.
- Share the onboarding doc with the new contributor before their first session.
- Run
$ai-game-studio:sprint-statusto show the new contributor current progress. - Run
$ai-game-studio:helpif the contributor needs guidance on what to work on next.
Codex portability
Use the search, file-editing, shell, user-input, and subagent capabilities available in the active Codex surface. Use PowerShell syntax on Windows and POSIX syntax on macOS/Linux; do not require a Unix compatibility layer on Windows. Inherit the active model and permission mode, and do not weaken approval or sandbox boundaries.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: frabcd
- Source: frabcd/codex-ai-game-studio
- License: MIT
- Homepage: https://frabcd.github.io/codex-ai-game-studio/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.