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 release-checklistgit 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/release-checklist)<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/release-checklist"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/release-checklist/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.
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/release-checklist"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/release-checklist.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.01521 |
| Opus 5.5 | $0.00010 | $0.00608 |
| Sonnet 5.5 | $0.00005 | $0.00304 |
| Haiku 4.5 | $0.00003 | $0.00152 |
Grade A, and why
release-checklist 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 1mo 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.
This is a copy
84% identical to release-checklist — 182 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 185 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.
Explicit invocation only: This skill should only run when the user explicitly requests it with
$ai-game-studio:release-checklist. Do not auto-invoke based on context matching.
Phase 1: Parse Arguments
Read the argument for the target platform (pc, console, mobile, or all). If no platform is specified, default to all.
Phase 2: Load Project Context
- Read
AGENTS.mdfor project context, version information, and platform targets. - Read the current milestone from
production/milestones/to understand what features and content should be included in this release.
Phase 3: Scan Codebase
Scan for outstanding issues:
- Count
TODOcomments - Count
FIXMEcomments - Count
HACKcomments - Note their locations and severity
Check for test results in any test output directories or CI logs if available.
Phase 4: Generate the Release Checklist
## Release Checklist: [Version] -- [Platform]
Generated: [Date]
### Codebase Health
- TODO count: [N] ([list top 5 if many])
- FIXME count: [N] ([list all -- these are potential blockers])
- HACK count: [N] ([list all -- these need review])
### Build Verification
- [ ] Clean build succeeds on all target platforms
- [ ] No compiler warnings (zero-warning policy)
- [ ] All assets included and loading correctly
- [ ] Build size within budget ([target size])
- [ ] Build version number correctly set ([version])
- [ ] Build is reproducible from tagged commit
### Quality Gates
- [ ] Zero S1 (Critical) bugs
- [ ] Zero S2 (Major) bugs -- or documented exceptions with producer approval
- [ ] All critical path features tested and signed off by QA
- [ ] Performance within budgets:
- [ ] Target FPS met on minimum spec hardware
- [ ] Memory usage within budget
- [ ] Load times within budget
- [ ] No memory leaks over extended play sessions
- [ ] No regression from previous build
- [ ] Soak test passed (4+ hours continuous play)
### Content Complete
- [ ] All placeholder assets replaced with final versions
- [ ] All TODO/FIXME in content files resolved or documented
- [ ] All player-facing text proofread
- [ ] All text localization-ready (no hardcoded strings)
- [ ] Audio mix finalized and approved
- [ ] Credits complete and accurate
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.
- 1mo ago First seen · 185 lines · 26 tokens per session scan A 7ce836ddfa0a
release-checklist is a skill published in the GitHub repository frabcd/codex-ai-game-studio (18 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 1,521 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 84% identical to release-checklist, differing in 182 lines, and is treated as a copy.
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