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.
npx skills add frabcd/codex-ai-game-studio --skill onboardgit clone --depth 1 https://github.com/frabcd/codex-ai-game-studioWrote 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.
[](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/onboard)<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/onboard"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/onboard.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.00713 |
| Opus 5 | $0.00020 | $0.00357 |
| Sonnet 5 | $0.00008 | $0.00143 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
onboard 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 7d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Port provenance: adapted from the pinned upstream source at
984023ddac0d5e27624f2baacde6105e45de375funder 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]
What ships with it
1 file 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.
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.
- 7d ago First seen · 99 lines · 40 tokens per session scan A 0d362a0f0fc8
onboard is a skill published in the GitHub repository frabcd/codex-ai-game-studio (9 stars, last pushed 6d ago), licensed MIT. It adds 40 tokens to every session and 713 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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