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 striderZA/OpenCodeGameStudios --skill create-architecturegit clone --depth 1 https://github.com/striderZA/OpenCodeGameStudiosWrote 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/striderza/opencodegamestudios/create-architecture)<a href="https://agentmods.dev/skills/striderza/opencodegamestudios/create-architecture"><img src="https://agentmods.dev/badge/skills/striderza/opencodegamestudios/create-architecture/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/striderza/opencodegamestudios/create-architecture"><img src="https://agentmods.dev/badge/skills/striderza/opencodegamestudios/create-architecture.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 | $0.00068 | $0.03469 |
| Opus 5.5 | $0.00027 | $0.01388 |
| Sonnet 5.5 | $0.00014 | $0.00694 |
| Haiku 4.5 | $0.00007 | $0.00347 |
Grade A, and why
create-architecture 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 create-architecture — 387 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 — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Architecture
This skill produces docs/architecture/architecture.md — the master architecture
document that translates all approved GDDs into a concrete technical blueprint.
It sits between design and implementation, and must exist before sprint planning begins.
Distinct from /architecture-decision: ADRs record individual point decisions.
This skill creates the whole-system blueprint that gives ADRs their context.
Resolve the review mode (once, store for all gate spawns this run):
- If
--review [full|lean|solo]was passed → use that - Else read
production/review-mode.txt→ use that value - Else → default to
lean
See docs/framework/director-gates.md for the full check pattern.
Argument modes:
- No argument /
full: Full guided walkthrough — all sections, start to finish layers: Focus on the system layer diagram onlydata-flow: Focus on data flow between modules onlyapi-boundaries: Focus on API boundary definitions onlyadr-audit: Audit existing ADRs for engine compatibility gaps only
Phase 0: Load All Context
Before anything else, load the full project context in this order:
0a. Engine Context (Critical)
Read the engine reference library completely:
docs/engine-reference/[engine]/VERSION.md→ Extract: engine name, version, LLM cutoff, post-cutoff risk levelsdocs/engine-reference/[engine]/breaking-changes.md→ Extract: all HIGH and MEDIUM risk changesdocs/engine-reference/[engine]/deprecated-apis.md→ Extract: APIs to avoiddocs/engine-reference/[engine]/current-best-practices.md→ Extract: post-cutoff best practices that differ from training data- All files in
docs/engine-reference/[engine]/modules/→ Extract: current API patterns per domain
If no engine is configured, stop and prompt:
"No engine is configured. Run
/setup-enginefirst. Architecture cannot be written without knowing which engine and version you are targeting."
0b. Design Context + Technical Requirements Extraction
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 · 403 lines · 68 tokens per session scan A 6e30d131830e
create-architecture is a skill published in the GitHub repository striderZA/OpenCodeGameStudios (99 stars, last pushed 13d ago), licensed MIT. It adds 68 tokens to every session and 3,469 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 84% identical to create-architecture, differing in 387 lines, and is treated as a copy.
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design-system
Guided, section-by-section GDD authoring for a single game system. Gathers context from existing docs, walks through each required section collaboratively, cross-references dependencies, and writes incrementally to file.
setup-engine
Configure the project's game engine and version. Pins the engine in OPENCODE.md, detects knowledge gaps, and populates engine reference docs via WebSearch when the version is beyond the LLM's training data.
gate-check
Validate readiness to advance between development phases. Produces a PASS/CONCERNS/FAIL verdict with specific blockers and required artifacts.
reverse-document
Generate design or architecture documents from existing implementation. Works backwards from code/prototypes to create missing planning docs.
estimate
Estimates task effort by analyzing complexity, dependencies, historical velocity, and risk factors. Produces a structured estimate with confidence levels.