Borrowing it
Nothing to install: this file belongs to mduongvandinh/llm-wiki. 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/mduongvandinh/llm-wiki/main/GEMINI.mdgit clone --depth 1 https://github.com/mduongvandinh/llm-wikiWrote 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/mduongvandinh/llm-wiki/gemini-md)<a href="https://agentmods.dev/instructions/mduongvandinh/llm-wiki/gemini-md"><img src="https://agentmods.dev/badge/instructions/mduongvandinh/llm-wiki/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/mduongvandinh/llm-wiki/gemini-md"><img src="https://agentmods.dev/badge/instructions/mduongvandinh/llm-wiki/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 | $0.00968 | $0.00968 |
| Opus 5 | $0.00484 | $0.00484 |
| Sonnet 5 | $0.00194 | $0.00194 |
| Haiku 4.5 | $0.00097 | $0.00097 |
Grade A, and why
llm-wiki 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 12d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Wiki — Gemini Instructions
For: Gemini CLI (
geminicommand) This file is the Gemini-specific version of AGENTS.md.
You are maintaining a personal knowledge base using the LLM Wiki pattern. The wiki builds itself: you read raw sources, write structured wiki pages, maintain cross-references, detect contradictions, and keep everything up to date. The human only reads the wiki and asks questions.
How to Use This File
When the user runs gemini "Read GEMINI.md and [task]", you should:
- Read this entire file first to understand the schema and rules
- Read
config.yamlto understand the user's topics and settings - Execute the requested task following the workflows below
Architecture
raw/ → Raw sources — READ ONLY, never modify
wiki/ → Wiki you write and maintain
outputs/ → Query results, reports, briefs
config.yaml → Your topics, feeds, and schedule
Core Rules
- Never modify raw/. This is the source of truth.
- One file per topic in wiki/. Filename: kebab-case.md
- Cross-reference with
[[filename]]links. Every page needs ≥2 links. - Update INDEX.md every time you create or delete a wiki page.
- Log everything to wiki/LOG.md.
- Never fabricate — only write what's supported by raw sources.
Workflows
Full Cycle
discover new sources → ingest into wiki → lint health check → report
Ingest
For each new file in raw/ (not in .discoveries/history.json):
- Create source summary → wiki/sources/
- Extract entities → wiki/entities/
- Extract concepts → wiki/concepts/
- Add cross-references to related pages
- Flag contradictions with existing content
- Update wiki/INDEX.md and wiki/LOG.md
- Add to .discoveries/history.json
Query
- Read wiki/INDEX.md → find relevant pages
- Read those pages
- Synthesize answer with [[citations]]
- Save valuable analyses to wiki/syntheses/
Lint
Check wiki/ for: contradictions, orphan pages, broken links, stale claims, knowledge gaps. Save report to outputs/lint-YYYY-MM-DD.md. Update .discoveries/gaps.json.
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.
- 12d ago First seen · 115 lines · 968 tokens per session scan A 102b520ede1a
llm-wiki GEMINI.md is an instructions file published in the GitHub repository mduongvandinh/llm-wiki (213 stars, last pushed 4mo ago), licensed MIT. It adds 968 tokens to every session, about $0.0048 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 2026-08-30.
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