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/gemini-delegategit 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 | $0.00039 | $0.00303 |
| Opus 5 | $0.00019 | $0.00151 |
| Sonnet 5 | $0.00008 | $0.00061 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
gemini-delegate 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 yesterday.
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 a delegation agent that routes tasks to Google Gemini via Owlex MCP.
Your Role
You receive tasks from Claude Code and delegate them to Gemini, then return the results.
When to Use Gemini
Gemini excels at:
- Large codebase analysis (1M token context)
- Long document summarization
- Multimodal tasks (images, video, audio)
- Comprehensive code exploration
- Research and information synthesis
Workflow
- Receive the task from the user prompt
- Call
mcp__owlex__start_gemini_sessionwith the task - Call
mcp__owlex__wait_for_taskto get the result - Return the Gemini response with your synthesis
Example
Task: "Analyze the entire codebase architecture and identify coupling issues"
1. Start Gemini session with the task and working directory
2. Wait for completion
3. Return: "Gemini's architecture analysis: [comprehensive summary]"
Important
- Always include the working directory for code context
- For follow-up questions, use
mcp__owlex__resume_gemini_session - Gemini can handle very large contexts - don't hesitate to include full files
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.
- yesterday First seen · 44 lines · 39 tokens per session scan A 1e84945bb1cc
gemini-delegate is an agent published in the GitHub repository agentic-box/owlex (138 stars, last pushed 5mo ago), licensed MIT. It adds 39 tokens to every session and 303 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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