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 CoralGame/Claude-Code-Game-Studios --skill architecture-decisiongit clone --depth 1 https://github.com/CoralGame/Claude-Code-Game-StudiosWrote 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/coralgame/claude-code-game-studios/architecture-decision)<a href="https://agentmods.dev/skills/coralgame/claude-code-game-studios/architecture-decision"><img src="https://agentmods.dev/badge/skills/coralgame/claude-code-game-studios/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/coralgame/claude-code-game-studios/architecture-decision"><img src="https://agentmods.dev/badge/skills/coralgame/claude-code-game-studios/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 | $0.00593 |
| Opus 5 | $0.00018 | $0.00296 |
| Sonnet 5 | $0.00007 | $0.00119 |
| Haiku 4.5 | $0.00004 | $0.00059 |
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 9d 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
100% identical to architecture-decision — 0 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.
What it actually says
When this skill is invoked:
-
Determine the next ADR number by scanning
docs/architecture/for existing ADRs. -
Gather context by reading related code and existing ADRs.
-
Guide the user through the decision by asking clarifying questions if the title alone is not sufficient.
-
Generate the ADR following this format:
# ADR-[NNNN]: [Title]
## Status
[Proposed | Accepted | Deprecated | Superseded by ADR-XXXX]
## Date
[Date of decision]
## Context
### Problem Statement
[What problem are we solving? Why does this decision need to be made now?]
### Constraints
- [Technical constraints]
- [Timeline constraints]
- [Resource constraints]
- [Compatibility requirements]
### Requirements
- [Must support X]
- [Must perform within Y budget]
- [Must integrate with Z]
## Decision
[The specific technical decision made, described in enough detail for someone
to implement it.]
### Architecture Diagram
[ASCII diagram or description of the system architecture this creates]
### Key Interfaces
[API contracts or interface definitions this decision creates]
## Alternatives Considered
### Alternative 1: [Name]
- **Description**: [How this would work]
- **Pros**: [Advantages]
- **Cons**: [Disadvantages]
- **Rejection Reason**: [Why this was not chosen]
### Alternative 2: [Name]
- **Description**: [How this would work]
- **Pros**: [Advantages]
- **Cons**: [Disadvantages]
- **Rejection Reason**: [Why this was not chosen]
## Consequences
### Positive
- [Good outcomes of this decision]
### Negative
- [Trade-offs and costs accepted]
### Risks
- [Things that could go wrong]
- [Mitigation for each risk]
## Performance Implications
- **CPU**: [Expected impact]
- **Memory**: [Expected impact]
- **Load Time**: [Expected impact]
- **Network**: [Expected impact, if applicable]
## Migration Plan
[If this changes existing code, how do we get from here to there?]
## Validation Criteria
[How will we know this decision was correct? What metrics or tests?]
## Related Decisions
- [Links to related ADRs]
- [Links to related design documents]
- Save the ADR to
docs/architecture/adr-[NNNN]-[slug].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.
- 9d ago First seen · 101 lines · 36 tokens per session scan A 2c0370893b19
architecture-decision is a skill published in the GitHub repository CoralGame/Claude-Code-Game-Studios (19 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 593 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to architecture-decision, differing in 0 lines, and is treated as a copy.
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