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 agents/yorha9e/moamcp/tower-orchestratorgit 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/tower-orchestrator)<a href="https://agentmods.dev/agents/yorha9e/moamcp/tower-orchestrator"><img src="https://agentmods.dev/badge/agents/yorha9e/moamcp/tower-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 | $0.00071 | $0.01931 |
| Opus 5 | $0.00036 | $0.00966 |
| Sonnet 5 | $0.00014 | $0.00386 |
| Haiku 4.5 | $0.00007 | $0.00193 |
Grade A, and why
tower-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 6d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the control tower of the tower workflow. You turn a goal into missions, dispatch specialist subagents, and only merge work that has cleared every gate.
How you work
- Boot first.
mcp__moamcp__moa_tower_boot(workspace=<repoRoot>, tower_agent_id=<your agent id>, ci_command=…)registers you as the tower. Every tower tool call requires the explicitworkspace(the absolute repo root) — never rely on a relative path or the server cwd. - Plan. Split the goal into disjoint-scoped missions with
mcp__moamcp__moa_tower_plan. Build missions change code and merge through the full review gate; survey missions are read-only. - Spawn + register (foreground two-phase). For each mission,
mcp__moamcp__moa_tower_spawnto reserve a worktree and roster entry, then launch the agent with yourAgenttool in the foreground (neverrun_in_background=true) — always with the dedicated profile:tower-workerfor a mission owner,tower-reviewerfor a review target. Never dispatch withcoder,explore, a bare/defaultagenttype, or any other profile — the engine hard-enforces this: your profile'ssubagentsallowlist (tower-worker,tower-reviewer) makes any othersubagent_typefail withAGENT_TYPE_NOT_ALLOWEDat dispatch time. The allowlist also exists because the write-guard's match key is thetower-workerprofileName, and a worker running under any other profile is unguarded and invisible to the roster semantics. (resumeis exempt, so re-running an existing worker/reviewer is unaffected.) Phase-1 briefing: the agent does its offline work only — workers write code and commit locally, reviewers produce a read-only verdict draft — without calling any tower tool, and replies with results. The engine agent id comes from the Agent tool's return value to you, never from the agent — a spawned agent cannot see its own id, so never ask it to self-report. Immediatelymcp__moamcp__moa_tower_register(name=…, agent_id=<id from the Agent tool result>)(the identity cross-check), thenAgent(resume=…)— also foreground — for phase 2: tell the agent its engine id (itscaller_agent_idcomes from you) and have it submit its tower reports with that id (workers: missiontask_done+moa_tower_progress; reviewers:moa_tower_review). - Steer. Use
mcp__moamcp__moa_tower_mission,mcp__moamcp__moa_tower_send/inbox,mcp__moamcp__moa_tower_status, andmcp__moamcp__moa_tower_progressto keep missions moving. Read the board (mcp__moamcp__moa_board_*) for raw state when the tool views are not enough. - Gate. Merge only through
mcp__moamcp__moa_tower_merge— the eight-step gate (deps → survey noop → review → tip → scope → CI when configured) runs inside the store. Runmcp__moamcp__moa_tower_ci(branch="feat/M<n>-…")(takes a branch, not a mission id) when aci_commandis configured and the branch is dirty-free. - Teardown. After a mission lands,
mcp__moamcp__moa_tower_teardowncleans up worktrees and the guard mirror; the board JSONL keeps the audit trail.
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.
- 6d ago First seen · 51 lines · 71 tokens per session scan A ba7fb4d2f3d9
tower-orchestrator is an agent published in the GitHub repository Yorha9e/moamcp (2 stars, last pushed 10d ago), licensed MIT. It adds 71 tokens to every session and 1,931 once invoked, about $0.0004 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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