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 DanMcInerney/orchflows --skill 3d-browser-gamegit clone --depth 1 https://github.com/DanMcInerney/orchflowsWrote 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/danmcinerney/orchflows/3d-browser-game)<a href="https://agentmods.dev/skills/danmcinerney/orchflows/3d-browser-game"><img src="https://agentmods.dev/badge/skills/danmcinerney/orchflows/3d-browser-game/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/danmcinerney/orchflows/3d-browser-game"><img src="https://agentmods.dev/badge/skills/danmcinerney/orchflows/3d-browser-game.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 | $0.00028 | $0.01109 |
| Opus 5.5 | $0.00011 | $0.00444 |
| Sonnet 5.5 | $0.00006 | $0.00222 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
3d-browser-game 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.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The coordinator applies library context. Inputs: player brief, existing project, target conditions, workspace and constraints. Choose and record unspecified creative details; ask only when a missing choice blocks progress. A bounded phase uses its prerequisites and returns reached work without claiming a finished game.
Use shared creative direction and one integration owner. Production staffing follows core execution rules; only the two playtests require fresh independent reviewers. Missing capabilities block dependent work.
Checkpoints
Use evidence for candidate identities and ready, needs change or unverified conclusions. Freeze each candidate until its independent playtest report completes. These are work gates, not user approval prompts.
Each checkpoint permits at most one necessary repair pass: reproduce material findings, fix shared causes, rebuild and replay affected situations plus start–play–outcome–retry. Recapture changed visuals and remeasure affected performance. Preserve the original report and identify the delivered revision; subsequent checks are maker verification, not renewed independent acceptance.
An unchanged ready candidate needs no repair, rebuild or replay. Pre-checkpoint QA/tuning is ordinary production. If a checkpoint remains needs change or unverified, stop dependent production and return the best runnable state, findings and precise next action.
1. Establish scope and capabilities
Record the player promise, requirements versus defaults, browser/device/input, session scope and observable completion criteria. Preserve existing intent and architecture; bound a larger release without silently dropping requirements. Select browser-game for design.
Probe install/build/preview, rendered browser input/captures and Blender source-to-GLB loading in Three.js under the test interface and library capability rules. Probe promised audio. Remove disposable probe content from the finished game. Continue only with a feasible ordinary-play route and recorded capability results.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed e4f0f41798dc
- 1mo ago Changed f34417fb6599
- 1mo ago Changed · -84 lines · -14 tokens per session 5591d0f8658f
- 1mo ago Changed · +1 lines c13915fe7dc0
- 1mo ago Changed · +71 lines · +13 tokens per session 409ecd2ca174
- 1mo ago Changed · -4 lines dc27f9602972
- 1mo ago First seen · 70 lines · 29 tokens per session scan A 395e10f651fd
3d-browser-game is a skill published in the GitHub repository DanMcInerney/orchflows (126 stars, last pushed 2d ago), licensed MIT. It adds 28 tokens to every session and 1,109 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-10.
3d-browser-game compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| 3d-browser-gameDanMcInerney/orchflows | Skill | 126 | 2d ago | MIT | A | 28 | Claude Code, Codex |
| scenario-walkable-roomscenario-labs/skills | Skill | 3.2k | yesterday | MIT | A | 113 | Claude Code |
| browser-a2d9b0b0FuRongJun-1999/dsh-memory | Skill | 604 | today | MIT | A | 75 | Claude Code |
| webg-spec-to-goalnathanonn/agent-skills | Skill | 22 | yesterday | MIT | A | 201 | Claude Code |
| bevy-wasm-webgpuchrisgliddon/bevy-skills | Skill | 29 | 3d ago | MIT | A | 101 | Claude Code |
| agent-casino-gamblingrondoflow/rondoflow | Skill | 29 | 2d ago | MIT | A | 24 | Claude Code, Codex |
| multiplatform-conversionvchelaru/FlatRedBall2 | Skill | 15 | today | MIT | A | 97 | Claude Code, Codex |