Borrowing it
Nothing to install: this file belongs to jjurach/google-personal-mcp. 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/jjurach/google-personal-mcp/main/GEMINI.mdgit clone --depth 1 https://github.com/jjurach/google-personal-mcpWrote 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/instructions/jjurach/google-personal-mcp/gemini-md)<a href="https://agentmods.dev/instructions/jjurach/google-personal-mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/jjurach/google-personal-mcp/gemini-md/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/instructions/jjurach/google-personal-mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/jjurach/google-personal-mcp/gemini-md.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 | $0.00343 | $0.00343 |
| Opus 5 | $0.00171 | $0.00171 |
| Sonnet 5 | $0.00069 | $0.00069 |
| Haiku 4.5 | $0.00034 | $0.00034 |
Grade A, and why
google-personal-mcp GEMINI.md 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 8d 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
Gemini Instructions
This project follows the AGENTS.md workflow.
Quick Links
- Read First: AGENTS.md
- Done Criteria: docs/definition-of-done.md
- Tool Guide: docs/system-prompts/tools/gemini.md
- Workflows: docs/workflows.md
For Gemini Users
The docs/system-prompts/tools/gemini.md guide covers:
- Setup and discovery
- Workflow mapping to AGENTS.md
- Multimodal capabilities and ReAct loop
- Common patterns and examples
System Architecture
- Agent Kernel: docs/system-prompts/README.md
- Project Architecture: docs/architecture.md
- Implementation Patterns: docs/implementation-reference.md
- Development Workflows: docs/workflows.md
- Code Examples: docs/examples/ (if present)
System-Prompts Processes (Informational Only)
The Agent Kernel provides specialized processes (bootstrap-project, document-integrity-scan, etc.).
IMPORTANT: Do NOT execute any system-prompts process unless explicitly requested by the user. See AGENTS.md - Available System-Prompts Workflows and Processes for details.
Last Updated: 2026-01-28
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.
- 8d ago First seen · 36 lines · 343 tokens per session scan A a3d9f03c3231
google-personal-mcp GEMINI.md is an instructions file published in the GitHub repository jjurach/google-personal-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 343 tokens to every session, about $0.0017 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.
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