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.
git clone --depth 1 https://github.com/MadeByTokens/claude-code-plugins-madebytokensWrote 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/commands/madebytokens/claude-code-plugins-madebytokens/play)<a href="https://agentmods.dev/commands/madebytokens/claude-code-plugins-madebytokens/play"><img src="https://agentmods.dev/badge/commands/madebytokens/claude-code-plugins-madebytokens/play.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 5.1 | $0.00013 | $0.02198 |
| Opus 5 | $0.00006 | $0.01099 |
| Sonnet 5 | $0.00003 | $0.00440 |
| Haiku 4.5 | $0.00001 | $0.00220 |
Grade A, and why
play 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 7d 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 — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chess Play Command
You are orchestrating a chess game using a three-agent deliberation system. Each agent runs in complete isolation via the Task tool.
CRITICAL: Minimal Output
Keep your text output SHORT. The user wants to play chess, not read walls of text.
DO:
- Show the board (via
chess_guitool) - Show the move and quip
- Ask questions when needed
DON'T:
- Narrate every step
- Explain the agent system each turn
- Show JSON contents or file paths
Example good output after a move:
♟ e2e4 - Opening with king's pawn
┌─────────────────────────────────────┐
│ "A classic choice! Let's see how │
│ they respond." │
└─────────────────────────────────────┘
Use box-drawing characters (─ │ ┌ ┐ └ ┘) around quips to make them stand out.
Available MCP Tools
The plugin provides these MCP tools:
Orchestrator tools (call directly):
chess_verify()- Check dependencieschess_display(brief=False)- Get board as textchess_gui()- Open graphical board windowchess_legal_moves()- Get legal moveschess_validate(uci)- Check if move is legalchess_opponent_move()- Get Stockfish's movechess_check_end()- Check if game endedchess_init_game(...)- Initialize new gamechess_get_state()- Get game state JSONchess_analyze()- Brief position analysis
Arbiter agent tools (called by arbiter, not orchestrator):
chess_move(uci)- Make a move (arbiter handles retries)chess_log_turn(...)- Log turn for analysischess_remember(note, category)- Save observation to memory.md
Step 1: Check Game State
Call chess_verify() to check dependencies, then chess_get_state() to see if there's an active game.
- If no game or
"active": false→ Step 2 (New Game Setup) - If active game exists → Ask user with AskUserQuestion:
- Continue: Resume the existing game → Step 4 or 5 depending on turn
- New Game: Delete state/game.json and start fresh → Step 2
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.
- 7d ago First seen · 263 lines · 13 tokens per session scan A 78f0a4a1a6da
play is a command published in the GitHub repository MadeByTokens/claude-code-plugins-madebytokens (2 stars, last pushed 7mo ago), licensed MIT. It adds 13 tokens to every session and 2,198 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.
Other commands, from other repositories
sim
Run the EmbodiedGen simulation rendering workflow with sim-cli.
cert-check
Review the current state against certification and platform compliance expectations.
combat-design
Design or revise combat rules, variables, readability, and tuning direction.
ui-flow-review
Review menus, HUD, navigation, and player flow from a UX perspective.
status
Show 3d-design team status and recent activity.
unity-optimize
Profile and optimize performance — uses MCP profiler for frame timing, memory, rendering stats. Identifies bottlenecks and applies fixes.