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 skills add haoyu-haoyu/Multi-AI-Workflow --skill collaborating-with-geminigit clone --depth 1 https://github.com/haoyu-haoyu/Multi-AI-WorkflowWrote 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/skills/haoyu-haoyu/multi-ai-workflow/collaborating-with-gemini)<a href="https://agentmods.dev/skills/haoyu-haoyu/multi-ai-workflow/collaborating-with-gemini"><img src="https://agentmods.dev/badge/skills/haoyu-haoyu/multi-ai-workflow/collaborating-with-gemini/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/skills/haoyu-haoyu/multi-ai-workflow/collaborating-with-gemini"><img src="https://agentmods.dev/badge/skills/haoyu-haoyu/multi-ai-workflow/collaborating-with-gemini.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 | $0.00047 | $0.00488 |
| Opus 5 | $0.00023 | $0.00244 |
| Sonnet 5 | $0.00009 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
collaborating-with-gemini 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:
- collaborating-with-gemini — 100% identical, 0 lines differ
What it actually says
Quick Start
python scripts/gemini_bridge.py --cd "/path/to/project" --PROMPT "Your task"
Output: JSON with success, SESSION_ID, agent_messages, and optional error.
Parameters
usage: gemini_bridge.py [-h] --PROMPT PROMPT --cd CD [--sandbox] [--SESSION_ID SESSION_ID] [--return-all-messages] [--model MODEL]
Gemini Bridge
options:
-h, --help show this help message and exit
--PROMPT PROMPT Instruction for the task to send to gemini.
--cd CD Set the workspace root for gemini before executing the task.
--sandbox Run in sandbox mode. Defaults to `False`.
--SESSION_ID SESSION_ID
Resume the specified session of the gemini. Defaults to empty string, start a new session.
--return-all-messages
Return all messages (e.g. reasoning, tool calls, etc.) from the gemini session. Set to `False` by default, only the agent's final reply message is
returned.
--model MODEL The model to use for the gemini session. This parameter is strictly prohibited unless explicitly specified by the user.
Multi-turn Sessions
Always capture SESSION_ID from the first response for follow-up:
# Initial task
python scripts/gemini_bridge.py --cd "/project" --PROMPT "Analyze auth in login.py"
# Continue with SESSION_ID
python scripts/gemini_bridge.py --cd "/project" --SESSION_ID "uuid-from-response" --PROMPT "Write unit tests for that"
Common Patterns
Prototyping (request diffs):
python scripts/gemini_bridge.py --cd "/project" --PROMPT "Generate unified diff to add logging"
Debug with full trace:
python scripts/gemini_bridge.py --cd "/project" --PROMPT "Debug this error" --return-all-messages
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 57 lines · 47 tokens per session scan A 32ed8a879899
collaborating-with-gemini is a skill published in the GitHub repository haoyu-haoyu/Multi-AI-Workflow (109 stars, last pushed 4mo ago), licensed MIT. It adds 47 tokens to every session and 488 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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