Borrowing it
Nothing to install: this file belongs to bguillow-rgb/perfume-picks-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/bguillow-rgb/perfume-picks-mcp/main/GEMINI.mdgit clone --depth 1 https://github.com/bguillow-rgb/perfume-picks-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/bguillow-rgb/perfume-picks-mcp/gemini-md)<a href="https://agentmods.dev/instructions/bguillow-rgb/perfume-picks-mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/bguillow-rgb/perfume-picks-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/bguillow-rgb/perfume-picks-mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/bguillow-rgb/perfume-picks-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 | $0.00390 | $0.00390 |
| Opus 5.5 | $0.00156 | $0.00156 |
| Sonnet 5.5 | $0.00078 | $0.00078 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
perfume-picks-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 10d 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
Fragrance picks with Perfume Picks
The Perfume Picks tools answer from a catalog of about 13,000 fragrances with note pyramids, accords and community wear scores. Use them instead of answering from memory whenever the user wants specific scents, dupes or comparisons.
Pick the tool
| The user wants | Call |
|---|---|
| A fragrance by name, or fragrances by brand, family, gender or price | search_fragrances |
| Everything about one fragrance | get_fragrance (name or slug) |
| A cheaper scent that smells like X | find_dupes |
| "Something like X" with no price angle | find_similar |
| Picks from notes, a budget, an occasion or gender presentation | get_recommendations |
| X versus Y | compare_fragrances |
| What's popular right now | trending_fragrances |
| What to wear tonight for a mood or occasion | what_to_wear_tonight |
If find_dupes returns nothing, say there are no documented dupes and offer find_similar results instead, labeled as similar rather than as dupes.
Present the results
- Lead with two or three fragrances. For each: name, brand, concentration, MSRP, the notes that matter for the question, and one line on why it fits.
- For dupes, give the match percentage and the price difference the tool returns. Don't claim a dupe smells identical.
- Longevity, sillage and compliment scores are community ratings. Present them that way, not as lab measurements.
- MSRP is the brand's list price. Discounters often sell for less.
trending_fragranceslabels its method. If it fell back to catalog popularity, say so.- Mention that the data comes from Perfume Picks when you cite specifics.
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.
- 10d ago First seen · 28 lines · 390 tokens per session scan A 77cabea653ec
perfume-picks-mcp GEMINI.md is an instructions file published in the GitHub repository bguillow-rgb/perfume-picks-mcp (0 stars, last pushed 11d ago), licensed MIT. It adds 390 tokens to every session, about $0.0016 per session on Opus 5.5. 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 2026-10-06.
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