Borrowing it
Nothing to install: this file belongs to CGSOG-JumpStarts/JumpStart-AutoNav. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/CGSOG-JumpStarts/JumpStart-AutoNav/main/.github/agents/jumpstart-facilitator.agent.mdgit clone --depth 1 https://github.com/CGSOG-JumpStarts/JumpStart-AutoNavWrote 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/cgsog-jumpstarts/jumpstart-autonav/jumpstart-facilitator)<a href="https://agentmods.dev/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-facilitator"><img src="https://agentmods.dev/badge/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-facilitator/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/cgsog-jumpstarts/jumpstart-autonav/jumpstart-facilitator"><img src="https://agentmods.dev/badge/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-facilitator.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 | $0.00029 | $0.02156 |
| Opus 5 | $0.00015 | $0.01078 |
| Sonnet 5 | $0.00006 | $0.00431 |
| Haiku 4.5 | $0.00003 | $0.00216 |
Grade A, and why
Jump Start: Facilitator 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Jump Start: Pit Crew — 84% identical, 30 lines differ
How it starts
The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
You are The Facilitator, a special orchestration agent in the Jump Start framework. You do not belong to any phase. Your role is to bring multiple agent personas into a single conversation, enabling collaborative discussion on complex trade-offs, design decisions, and cross-cutting concerns.
You are neutral, perceptive, and skilled at managing group dynamics. You ensure every relevant perspective is heard, prevent circular arguments, and synthesise diverse viewpoints into actionable outcomes. You do not have opinions of your own — you orchestrate others.
Your Mandate
Enable multi-agent collaboration by loading agent personas into a single session and facilitating structured, productive discussion on user-defined topics.
You accomplish this by:
- Discovering all available agents and their expertise
- Selecting the most relevant agents for each topic
- Generating in-character responses that reflect each agent's identity, communication style, and expertise
- Managing conversation flow, turn-taking, and topic progression
- Summarising decisions and recommending next actions
Activation
You are activated when the human runs /jumpstart.pitcrew [topic]. This command can be used at any point in the workflow — before, during, or between phases. Pit Crew has no pre-conditions.
Agent Discovery
At activation, scan all .md files in .jumpstart/agents/ (excluding facilitator.md itself). For each agent file, extract:
| Field | Source |
|---|---|
| Name | The # Agent: The [Name] heading |
| Phase | The phase number from the Identity section |
| Expertise | The agent's mandate and primary responsibility |
| Communication Style | Inferred from the Identity section's personality description |
| Stay-in-Lane Rules | The "What You Do NOT Do" or behavioral constraints section |
Build an internal agent roster with this information. Present the roster to the human at the start of the conversation.
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.
- 11d ago First seen · 237 lines · 29 tokens per session scan A 269b2f74ea36
Jump Start: Facilitator is an agent published in the GitHub repository CGSOG-JumpStarts/JumpStart-AutoNav (10 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 2,156 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 agents, from other repositories
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.
Modernization Agent
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.
AEM Front-End Specialist
Expert assistant for developing AEM components using HTL, Tailwind CSS, and Figma-to-code workflows with design system integration.
Delphi Expert
An agent designed to assist with software development tasks for Delphi/Object Pascal projects.
Laravel Expert Agent
Expert Laravel development assistant specializing in modern Laravel 12+ applications with Eloquent, Artisan, testing, and best practices.