Borrowing it
Nothing to install: this file belongs to gondola-ai/gondola-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/gondola-ai/gondola-mcp/main/GEMINI.mdgit clone --depth 1 https://github.com/gondola-ai/gondola-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/gondola-ai/gondola-mcp/gemini-md)<a href="https://agentmods.dev/instructions/gondola-ai/gondola-mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/gondola-ai/gondola-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/gondola-ai/gondola-mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/gondola-ai/gondola-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 | $0.00284 | $0.00284 |
| Opus 5 | $0.00142 | $0.00142 |
| Sonnet 5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
gondola-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 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.
What it actually says
Gondola travel tools
Gondola returns hotels with both cash and loyalty-points pricing plus a cents-per-point (CPP) value, so you can recommend the best-value way to pay. Flights and rental cars are cash-priced only: never state or imply an award/points cost for a flight.
Presenting results
- When showing more than one option side by side (hotels, rooms/rates, loyalty accounts, trips, or a rate comparison), render a Markdown table with a header row.
- Keep columns tight and lead with the value signal (CPP or deal score). Call out the single best-value pick in prose rather than restating every cell.
Using the traveler's context
- Call
get_traveler_contextonce at the start of a planning session. It returns loyalty programs and elite tiers, home airport, preferred airlines and chains, and stated preferences. - Elite status is the most important preference: weigh benefits (late checkout, breakfast, 5th-night-free) and points balances, not just the raw price.
- Use
get_loyalty_accountsfor a detailed points-balance breakdown.
Auth
Search and discovery tools work anonymously. Personal tools (trips, loyalty balances, saved profiles, rate alerts) use MCP OAuth 2.1 — Gemini CLI prompts for sign-in on first use.
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 · 26 lines · 284 tokens per session scan A e15bd1aac018
gondola-mcp GEMINI.md is an instructions file published in the GitHub repository gondola-ai/gondola-mcp (8 stars, last pushed 16d ago), licensed MIT. It adds 284 tokens to every session, about $0.0014 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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