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 architecture-decisiongit 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/architecture-decision)<a href="https://agentmods.dev/skills/striderza/opencodegamestudios/architecture-decision"><img src="https://agentmods.dev/badge/skills/striderza/opencodegamestudios/architecture-decision/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/architecture-decision"><img src="https://agentmods.dev/badge/skills/striderza/opencodegamestudios/architecture-decision.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 | $0.00036 | $0.04486 |
| Opus 5.5 | $0.00014 | $0.01794 |
| Sonnet 5.5 | $0.00007 | $0.00897 |
| Haiku 4.5 | $0.00004 | $0.00449 |
Grade A, and why
architecture-decision 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
95% identical to architecture-decision — 458 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 — 456 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When this skill is invoked:
0. Parse Arguments — Detect Retrofit Mode
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.
If the argument starts with retrofit followed by a file path
(e.g., /architecture-decision retrofit docs/architecture/adr-0001-event-system.md):
Enter retrofit mode:
- Read the existing ADR file completely.
- Identify which template sections are present by scanning headings:
## Status— BLOCKING if missing:/story-readinesscannot check ADR acceptance## ADR Dependencies— HIGH if missing: dependency ordering breaks## Engine Compatibility— HIGH if missing: post-cutoff risk unknown## GDD Requirements Addressed— MEDIUM if missing: traceability lost
- Present to the user:
## Retrofit: [ADR title] File: [path] Sections already present (will not be touched): ✓ Status: [current value, or "MISSING — will add"] ✓ [section] Missing sections to add: ✗ Status — BLOCKING (stories cannot validate ADR acceptance without this) ✗ ADR Dependencies — HIGH ✗ Engine Compatibility — HIGH - Ask: "Shall I add the [N] missing sections? I will not modify any existing content."
- If yes:
- For Status: ask the user — "What is the current status of this decision?" Options: "Proposed", "Accepted", "Deprecated", "Superseded by ADR-XXXX"
- For ADR Dependencies: ask — "Does this decision depend on any other ADR? Does it enable or block any other ADR or epic?" Accept "None" for each field.
- For Engine Compatibility: read the engine reference docs (same as Step 0 below) and ask the user to confirm the domain. Then generate the table with verified data.
- For GDD Requirements Addressed: ask — "Which GDD systems motivated this decision? What specific requirement in each GDD does this ADR address?"
- Append each missing section to the ADR file using the Edit tool.
- Never modify any existing section. Only append or fill absent sections.
- After adding all missing sections, update the ADR's
## Datefield if it is absent. - Suggest: "Run
/architecture-reviewto re-validate coverage now that this ADR has its Status and Dependencies fields."
If NOT in retrofit mode, proceed to Step 0 below (normal ADR authoring).
No-argument guard: If no argument was provided (title is empty), ask before running Phase 0:
"What technical decision are you documenting? Please provide a short title (e.g.,
event-system-architecture,physics-engine-choice)."
Use the user's response as the title, then proceed to Step 0.
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 · 456 lines · 36 tokens per session scan A 348e77693f87
architecture-decision is a skill published in the GitHub repository striderZA/OpenCodeGameStudios (99 stars, last pushed 13d ago), licensed MIT. It adds 36 tokens to every session and 4,486 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to architecture-decision, differing in 458 lines, and is treated as a copy.
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design-system
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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.