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 RamonBedin/mcp-game-deck --skill architecture-decisiongit clone --depth 1 https://github.com/RamonBedin/mcp-game-deckWrote 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/ramonbedin/mcp-game-deck/architecture-decision)<a href="https://agentmods.dev/skills/ramonbedin/mcp-game-deck/architecture-decision"><img src="https://agentmods.dev/badge/skills/ramonbedin/mcp-game-deck/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/ramonbedin/mcp-game-deck/architecture-decision"><img src="https://agentmods.dev/badge/skills/ramonbedin/mcp-game-deck/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 | $0.00022 | $0.00262 |
| Opus 5 | $0.00011 | $0.00131 |
| Sonnet 5 | $0.00004 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
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 10d 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.
What it actually says
When this skill is invoked:
-
Gather context: Read ARCHITECTURE.md and relevant code/docs.
-
Create ADR with this structure:
## ADR-[NNN]: [Title]
### Status: [Proposed | Accepted | Superseded]
### Date: [YYYY-MM-DD]
### Context
[What is the issue? Why does this decision need to be made?]
### Decision
[What was decided and why]
### Alternatives Considered
| Option | Pros | Cons |
|--------|------|------|
| [A] | ... | ... |
| [B] | ... | ... |
### Consequences
**Positive:**
- ...
**Negative:**
- ...
**Risks:**
- ...
### Unity-Specific Considerations
[How this interacts with Unity's architecture, MCP tools, etc.]
### Validation
[How to verify this decision was correct]
- Save to
docs/adr/ADR-NNN-title.md
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.
- 10d ago First seen · 50 lines · 22 tokens per session scan A 6a34e86746de
architecture-decision is a skill published in the GitHub repository RamonBedin/mcp-game-deck (6 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 262 once invoked, about $0.0001 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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