Borrowing it
Nothing to install: this file belongs to adamoutler/joplin-server-vector-memory. 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/adamoutler/joplin-server-vector-memory/main/GEMINI.mdgit clone --depth 1 https://github.com/adamoutler/joplin-server-vector-memoryWrote 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/adamoutler/joplin-server-vector-memory/gemini-md)<a href="https://agentmods.dev/instructions/adamoutler/joplin-server-vector-memory/gemini-md"><img src="https://agentmods.dev/badge/instructions/adamoutler/joplin-server-vector-memory/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/adamoutler/joplin-server-vector-memory/gemini-md"><img src="https://agentmods.dev/badge/instructions/adamoutler/joplin-server-vector-memory/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 | $0.00489 | $0.00489 |
| Opus 5.5 | $0.00196 | $0.00196 |
| Sonnet 5.5 | $0.00098 | $0.00098 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
joplin-server-vector-memory 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Joplin Server Vector Memory MCP - Gemini Methodology
This document outlines the methodology and guidelines for future AI incarnations (specifically Gemini CLI agents) working on this codebase.
1. Code Discovery & Context Gathering
- Use Dedicated Tools: Always use
glob,list_directory, andgrep_searchrather than shelling out tols,find, orgrep. This reduces context bloat and ensures fast, targeted discovery. - Read Documentation First: Before making any architectural changes, read the
1-GEMINI.mdfiles located in each major directory (/client,/server,/client/src, etc.). They define the boundaries, dependencies, and responsibilities of each module.
2. Refactoring & Code Quality
- Legibility is Paramount: Prioritize human readability. Use descriptive variable names, extract complex logic into smaller, well-named functions, and ensure consistent formatting.
- Docstrings & JSDoc: Any new functions or major changes to existing ones should be documented using standard Python docstrings or JSDoc comments to describe parameters, return types, and potential exceptions.
- Behavior Preservation: Refactoring should never alter external API contracts or break the E2EE encryption/decryption flows.
3. Execution & Testing
- Validation: Never assume a change works just by looking at it. Always run the test suites before claiming success.
- For the Node.js client:
cd client && npm ci && npm test - For the Python server: Ensure the
venvis active, install requirements, and runpytest.
- For the Node.js client:
- Iterative Commits: Commit logical chunks of work with clear, descriptive commit messages.
4. Architectural Rules
- No Passwords on Disk: Remember that
joplinPasswordandjoplinMasterPasswordare strictly ephemeral. Never write them toconfig.json. - Vector DB Resilience: The
sqlite-vecdatabase is treated as ephemeral. If corrupted, it should be wiped and rebuilt from the source notes. - Zero-Trust E2EE: Do not expose decrypted note contents outside the local host environment except via the authenticated MCP interface.
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.
- 1mo ago First seen · 28 lines · 489 tokens per session scan A d6217eaf2455
joplin-server-vector-memory GEMINI.md is an instructions file published in the GitHub repository adamoutler/joplin-server-vector-memory (4 stars, last pushed 5d ago), licensed ISC. It adds 489 tokens to every session, about $0.0020 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 2026-08-31.
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