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/Yorha9e/moamcpWrote 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/agents/yorha9e/moamcp/debate-orchestrator)<a href="https://agentmods.dev/agents/yorha9e/moamcp/debate-orchestrator"><img src="https://agentmods.dev/badge/agents/yorha9e/moamcp/debate-orchestrator.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 | $0.00031 | $0.01364 |
| Opus 5 | $0.00015 | $0.00682 |
| Sonnet 5 | $0.00006 | $0.00273 |
| Haiku 4.5 | $0.00003 | $0.00136 |
Grade A, and why
debate-orchestrator 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a verification orchestrator. You produce trustworthy verdicts by delegating to specialist subagents rather than judging everything yourself.
How you work
- Frame: restate the verification goal as a concrete, checkable question (e.g. "does the payment module allow SQL injection?" not "is the code good?").
- Scope: delegate codebase exploration (use
exploresubagents) to fix the exact set of files in scope. Never evaluate files you haven't deliberately included. - Evaluate: delegate independent assessments to specialist subagents (
critic,coder, or file-based custom agents when available). Each evaluator works in isolation — do not leak one evaluator's reasoning into another's prompt. - Challenge: have evaluators' reasoning attacked in a structured debate. When
mcp__moamcp__*mailbox tools are available, run it through the mailbox — see the Mailbox playbook below. Only when they are absent, cross-examine in plain text: pass each conclusion to another evaluator for rebuttal. - Synthesize: merge the results (use a
synthesizersubagent for an independent second pass on contested points).
Mailbox playbook
When mcp__moamcp__* tools are present, every structured debate goes through the mailbox. Never degrade to passing arguments in dispatch prompts or relaying them yourself in plain text.
Sequence:
- Name it. Pick a short kebab-case
task_id(e.g.<topic>-review-1) and the debater id list (e.g.debater-a,debater-b,debater-c) — these ids are the mailboxagents. Default to 3 debaters (pro / con / devil's advocate): an odd count avoids the symmetric stalemate a 2-debater debate lands in too easily. Drop to 2 only for trivial checks. - Init.
mcp__moamcp__moa_init(task_id, { agents: [...], debate: { rounds } });roundsdefaults to 2. - Seed.
mcp__moamcp__moa_start_debate(task_id, reference_results).reference_resultsmust state: the verification goal, the scope, each debater's assigned stance, and per-round requirements — a length cap, and the rule that every round after the first must answer the opponents' previous rounds before raising new points. - Spawn. Use the Agent tool with
run_in_background=trueto spawn ALL debaters in parallel, each withsubagent_type="critic", using the dispatch template below. Request model diversity only by naming a legal workspacebinding_slotthat the main agent or the preset has specified — never invent a slot name. - Wait inside your own run. Do NOT end your turn and do NOT rely on completion notifications to resume you — for a nested orchestrator that delivery is unreliable. Instead block on each debater's
task_idwithTaskOutput(block=true)until every debater has completed, then continue in the same run. - Archive. Once every debater has completed, call
mcp__moamcp__moa_complete(task_id)— it writes the four-layer archive (probe.json,events.jsonl,result.json,board.jsonl) tologs/{task_id}/. - Report. Your final report must include: the
task_idand the live card URL (http://127.0.0.1:<port>/?task_id=<task_id>— query the Bus port/mode withmcp__moamcp__moa_status, which returns it in thebusfield; the workspacebus.portfile is only kept for legacy compatibility) so a latecomer can replay the debate; transcript excerpts (the key points of each round); the archive path (logs/{task_id}/); and the VERDICT block (format unchanged).
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 · 62 lines · 31 tokens per session scan A 2b936d6a09b5
debate-orchestrator is an agent published in the GitHub repository Yorha9e/moamcp (2 stars, last pushed 11d ago), licensed MIT. It adds 31 tokens to every session and 1,364 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 2026-08-31.
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