Borrowing it
Nothing to install: this file belongs to JHdehao/gemini-mem-v3. 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/JHdehao/gemini-mem-v3/main/GEMINI.mdgit clone --depth 1 https://github.com/JHdehao/gemini-mem-v3Wrote 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/jhdehao/gemini-mem-v3/gemini-md)<a href="https://agentmods.dev/instructions/jhdehao/gemini-mem-v3/gemini-md"><img src="https://agentmods.dev/badge/instructions/jhdehao/gemini-mem-v3/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/jhdehao/gemini-mem-v3/gemini-md"><img src="https://agentmods.dev/badge/instructions/jhdehao/gemini-mem-v3/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 | $0.00099 | $0.00099 |
| Opus 5 | $0.00049 | $0.00049 |
| Sonnet 5 | $0.00020 | $0.00020 |
| Haiku 4.5 | $0.00010 | $0.00010 |
Grade A, and why
gemini-mem-v3 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.
This is a copy
100% identical to gemini-mem GEMINI.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
GEMINI.md
Use this extension as persistent memory for project-level coding context.
Memory behavior
- Memory cards are generated from completed agent turns.
- Retrieval combines local FTS shortlist and Gemini reranking.
- Injected context is concise and biasing toward decisions, constraints, and active tasks.
Operator notes
- Keep memory cards technical and concrete.
- Avoid storing secrets; redaction is enforced before persistence.
- Use
npm run mem:statusto inspect health quickly.
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 · 16 lines · 99 tokens per session scan A 47ed99dad7c3
gemini-mem-v3 GEMINI.md is an instructions file published in the GitHub repository JHdehao/gemini-mem-v3 (1 stars, last pushed 4mo ago), licensed MIT. It adds 99 tokens to every session, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gemini-mem GEMINI.md, differing in 0 lines, and is treated as a copy.
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