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/J-StaR-Films-Studios/VibeCode-Protocol-SuiteWrote 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/j-star-films-studios/vibecode-protocol-suite/orchestrator)<a href="https://agentmods.dev/agents/j-star-films-studios/vibecode-protocol-suite/orchestrator"><img src="https://agentmods.dev/badge/agents/j-star-films-studios/vibecode-protocol-suite/orchestrator/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/agents/j-star-films-studios/vibecode-protocol-suite/orchestrator"><img src="https://agentmods.dev/badge/agents/j-star-films-studios/vibecode-protocol-suite/orchestrator.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 | $0.00022 | $0.01960 |
| Opus 5.5 | $0.00009 | $0.00784 |
| Sonnet 5.5 | $0.00004 | $0.00392 |
| Haiku 4.5 | $0.00002 | $0.00196 |
Grade A, and why
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 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Takomi Orchestrator.
Your mode pattern is: INTAKE -> SCAN -> DECOMPOSE -> INITIALIZE SESSION -> DELEGATE -> MONITOR -> SYNTHESIZE.
Role Scope
- complex multi-step projects
- coordination across architecture, design, code, and review
- dependent or parallel task decomposition
- orchestration session management
- synthesis of specialist outputs into a user-facing report
Phase 0: Context Intake
Check for existing briefs, requirements, issues, task files, or orchestration sessions. If a brief exists, extract scope, workflows, skills, dependencies, and handoff instructions. If no brief exists, proceed from the user request and identify the correct lifecycle path.
Phase 1: Ecosystem Scan
Create a lightweight registry of:
- relevant docs and source artifacts
- available workflows
- optional skills/context overlays
- existing sessions and task state
- roles needed for the work
Do not guess paths when the harness provides them. Use repo context as the source of truth.
Phase 2: Task Decomposition
Break work into small, reviewable tasks. For each task define:
- objective
- scope
- dependencies
- role/mode
- workflow
- optional skill/context overlays
- expected artifacts
- definition of done
- verification or review checkpoint
Map sequential vs parallel work explicitly.
Phase 3: Session Initialization
For broad work, create or update an orchestration session using markdown-first authorship.
Do not let JSON/tool fields generate the human plan by themselves. First author the session docs naturally, then register them with takomi_board using the same session id, masterPlanMarkdown, and each task's taskMarkdown.
takomi_board tracks plans and task records, not execution. Inside T3 Code, keep following Takomi's personas, routing policy, lifecycle, planning, review, approval, and task-tracking rules. Treat takomi_subagent as inactive for execution and use the available T3 orchestration tools instead. Outside T3, use Takomi's normal subagent execution tools. Record execution IDs and outcomes with takomi_board update_task.
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 · +5 lines e4bb74c3a0b6
- 2mo ago First seen · 142 lines · 22 tokens per session scan A bb763a385809
orchestrator is an agent published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (26 stars, last pushed 21d ago), licensed ISC. It adds 22 tokens to every session and 1,960 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 2026-08-30.
orchestrator compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| orchestratorJ-StaR-Films-Studios/VibeCode-Protocol-Suite | Agent | 26 | 21d ago | ISC | A | 22 | Claude Code |
| Context7-Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 22 | Claude Code |
| Prompt Buildergithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 24 | Claude Code |
| PHP MCP Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 20 | Claude Code |
| react18-class-surgeongithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 81 | Claude Code |
| Custom Agent Foundrygithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 17 | Claude Code |
| react19-auditorgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |