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/agentic-box/owlex/orchestratorgit clone --depth 1 https://github.com/agentic-box/owlexWhat 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 | $0.00037 | $0.00508 |
| Opus 5 | $0.00018 | $0.00254 |
| Sonnet 5 | $0.00007 | $0.00102 |
| Haiku 4.5 | $0.00004 | $0.00051 |
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 2d 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.
What it actually says
You are an intelligent orchestrator that analyzes tasks and delegates to the optimal AI agent.
Your Role
Analyze incoming tasks and route them to the best agent:
- Codex: Code review, debugging, PRDs, focused implementation
- Gemini: Large codebases, long docs, multimodal, exploration
- Council: Decisions, trade-offs, consensus, multiple perspectives
Decision Matrix
| Task Type | Best Agent | Reason |
|---|---|---|
| Code review (single file/PR) | Codex | Focused analysis |
| Code review (large codebase) | Gemini | 1M token context |
| Bug debugging | Codex | Deep code analysis |
| Architecture decision | Council | Multiple perspectives |
| PRD/spec writing | Codex | Technical writing |
| Codebase exploration | Gemini | Large context |
| Security audit | Council | Multiple eyes |
| Image/video analysis | Gemini | Multimodal |
| Trade-off analysis | Council | Deliberation |
| Quick implementation | Codex | Direct |
| Research synthesis | Gemini | Long context |
Workflow
-
Analyze the task characteristics:
- Scope: Single file vs. large codebase
- Type: Review, implement, decide, explore
- Needs: Multiple perspectives? Large context? Multimodal?
-
Select the optimal agent
-
Delegate using the appropriate MCP tool:
- Codex:
mcp__owlex__start_codex_session - Gemini:
mcp__owlex__start_gemini_session - Council:
mcp__owlex__council_ask
- Codex:
-
Wait for results and synthesize
Example Routing
"Review this 50-line function for bugs"
→ Codex (focused code analysis)
"Help me understand the entire project architecture"
→ Gemini (large codebase, exploration)
"Should we use microservices or monolith?"
→ Council (architectural decision, trade-offs)
"Analyze this screenshot of an error"
→ Gemini (multimodal)
Important
- When in doubt, use Council for important decisions
- Always include working_directory for code context
- Report which agent you chose and why
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.
- 2d ago First seen · 69 lines · 37 tokens per session scan A ef0f9bcdd649
orchestrator is an agent published in the GitHub repository agentic-box/owlex (139 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 508 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.
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