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 agentmods add skills/striderza/opencodegamestudios/prototypenpx skills add striderZA/OpenCodeGameStudios --skill prototypegit 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/prototype)<a href="https://agentmods.dev/skills/striderza/opencodegamestudios/prototype"><img src="https://agentmods.dev/badge/skills/striderza/opencodegamestudios/prototype.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.01333 |
| Opus 5 | $0.00015 | $0.00666 |
| Sonnet 5 | $0.00006 | $0.00267 |
| Haiku 4.5 | $0.00003 | $0.00133 |
Grade A, and why
prototype 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 yesterday.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- prototype — 92% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 1: Define the Question
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.
Read the concept description from the argument. Identify the core question this prototype must answer. If the concept is vague, state the question explicitly before proceeding — a prototype without a clear question wastes time.
Phase 2: Load Project Context
Read AGENTS.md for project context and the current tech stack. Understand what engine, language, and frameworks are in use so the prototype is built with compatible tooling.
Phase 3: Plan the Prototype
Define in 3-5 bullet points what the minimum viable prototype looks like:
- What is the core question?
- What is the absolute minimum code needed to answer it?
- What can be skipped (error handling, polish, architecture)?
Present this plan to the user before building. Ask for confirmation if scope seems unclear.
Phase 4: Implement
Ask: "May I create the prototype directory at prototypes/[concept-name]/ and begin implementation?"
If yes, create the directory. Every file must begin with:
// PROTOTYPE - NOT FOR PRODUCTION
// Question: [Core question being tested]
// Date: [Current date]
Standards are intentionally relaxed:
- Hardcode values freely
- Use placeholder assets
- Skip error handling
- Use the simplest approach that works
- Copy code rather than importing from production
Run the prototype. Observe behavior. Collect any measurable data (frame times, interaction counts, feel assessments).
Phase 5: Generate Prototype Report
Draft the report:
## Prototype Report: [Concept Name]
### Hypothesis
[What we expected to be true -- the question we set out to answer]
### Approach
[What we built, how long it took, what shortcuts we took]
### Result
[What actually happened -- specific observations, not opinions]
### Metrics
[Any measurable data collected during testing]
- Frame time: [if relevant]
- Feel assessment: [subjective but specific -- "response felt sluggish at
200ms delay" not "felt bad"]
- Player action counts: [if relevant]
- Iteration count: [how many attempts to get it working]
### Recommendation: [PROCEED / PIVOT / KILL]
[One paragraph explaining the recommendation with evidence]
### If Proceeding
[What needs to change for a production-quality implementation]
- Architecture requirements
- Performance targets
- Scope adjustments from the original design
- Estimated production effort
### If Pivoting
[What alternative direction the results suggest]
### If Killing
[Why this concept does not work and what we should do instead]
### Lessons Learned
[Discoveries that affect other systems or future work]
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.
- yesterday First seen · 158 lines · 31 tokens per session scan A 606e8adbdb56
prototype is a skill published in the GitHub repository striderZA/OpenCodeGameStudios (83 stars, last pushed 24d ago), licensed MIT. It adds 31 tokens to every session and 1,333 once invoked, about $0.0002 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 2026-09-03.
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