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 commands/aegntic/cldcde/fartnode-orchestratorgit clone --depth 1 https://github.com/aegntic/cldcdeWrote 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/aegntic/cldcde/fartnode-orchestrator)<a href="https://agentmods.dev/commands/aegntic/cldcde/fartnode-orchestrator"><img src="https://agentmods.dev/badge/commands/aegntic/cldcde/fartnode-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 | $0.00030 | $0.02829 |
| Opus 5 | $0.00015 | $0.01414 |
| Sonnet 5 | $0.00006 | $0.00566 |
| Haiku 4.5 | $0.00003 | $0.00283 |
Grade A, and why
fartnode-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 4d 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FARTNODE Orchestration Suite by ae.ltd
ᵖᵒʷᵉʳᵉᵈ ᵇʸ ᵃᵉᵍⁿᵗᶦᶜ ᵉᶜᵒˢʸˢᵗᵉᵐˢ ʳᵘᵗʰˡᵉˢˢˡʸ ᵈᵉᵛᵉˡᵒᵖᵉᵈ ᵇʸ ae.ˡᵗᵈ
Master multi-agent orchestration system that deploys and manages specialized subagents for comprehensive viral automation ecosystems with UltraThink integration and collaborative intelligence amplification.
Overview
The FARTNODE Orchestration Suite represents the pinnacle of multi-agent coordination technology, deploying a specialized team of 5 expert subagents each empowered with UltraThink capabilities. This system transforms complex initiatives into coordinated team operations with unprecedented speed, intelligence, and effectiveness through advanced orchestration protocols and collaborative intelligence fusion.
Core Capabilities
- 5 Specialized Subagents: Expert agents with distinct roles and capabilities
- UltraThink Integration: Advanced thinking frameworks for all agents individually and collectively
- Dynamic Skill Delegation: Context-aware skill assignment and real-time optimization
- Sequential Thinking Protocols: FPEF methodology applied across entire agent team
- Adaptive Learning Systems: Continuous improvement through collective experience
- Emergency Response Coordination: Crisis management with specialized protocols
- Real-Time Communication: Instant agent synchronization and conflict resolution
Specialized Subagent Architecture
1. Campaign Strategist Subagent
Role: Strategic campaign planning and multi-platform coordination Primary Skills: viral-campaign-generator, performance-analytics Capabilities: A/B testing, campaign optimization, narrative development, timing coordination
2. Analytics & Intelligence Subagent
Role: Real-time performance monitoring and predictive modeling Primary Skills: performance-analytics, competitive-intelligence Capabilities: ROI optimization, trend identification, market analysis, forecasting
3. Automation Engineer Subagent
Role: Bot infrastructure deployment and workflow automation Primary Skills: bot-infrastructure-deployment, social-media-automation Capabilities: System scaling, security monitoring, technical troubleshooting
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.
- 4d ago First seen · 310 lines · 30 tokens per session scan A 15d8e87f0be2
fartnode-orchestrator is a command published in the GitHub repository aegntic/cldcde (11 stars, last pushed 7d ago), licensed MIT. It adds 30 tokens to every session and 2,829 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 2026-08-30.
Other commands, from other repositories
seed
Load fixture teams + products into the local D1 database.
smoke
Deploy a versioned preview, hit smoke endpoints, print a status table.
migrate
Apply pending D1 migrations to local (default) or remote.
deploy-preview
Build + deploy a versioned preview; print the preview URL.
scriptwriter-draft
Create a writers' room with a seed prompt and (optionally) contribute the first scene. Co-brainstorm space with signed contributions and a live SSE stream for peers.
scriptwriter-draw
Draw a random chaos card from the 13-card deck — a plot-twist prompt the user can use as a scene seed, a basistext for an RRR cascade, or a riff for a room contribution.