developer-knowledge: Instructions file for Gemini CLI

GEMINI.md

developer-knowledge GEMINI.md is an instructions file for Gemini CLI from gemini-cli-extensions/developer-knowledge. It costs 612 tokens per session, scanned A, original, Apache-2.0.

Instructions for using a developer-knowledge server that searches and retrieves documentation about Google developer products. The server can search documents, fetch full documents, and answer questions from that material.

In plain words
What is it for?
Use it when answering questions about the Google developer products covered by the server. It helps find relevant documentation and retrieve the source content needed for an answer.
Why use it?
It tells an agent which documentation operation to use first and when to retrieve a complete document. This avoids using the server for unrelated questions or using the wrong lookup method.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md.

This is gemini-cli-extensions/developer-knowledge's own configuration. It tells Gemini CLI how to work on developer-knowledge itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything developer-knowledge configures →

Reuse

Borrowing it

Nothing to install: this file belongs to gemini-cli-extensions/developer-knowledge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/gemini-cli-extensions/developer-knowledge/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/gemini-cli-extensions/developer-knowledge

Made for: Gemini CLI.

Wrote this? Show the measurements

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README.md
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Per session 612 This file is loaded in full into every session.
When invoked 612 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00612 $0.00612
Opus 5.5 $0.00245 $0.00245
Sonnet 5.5 $0.00122 $0.00122
Haiku 4.5 $0.00061 $0.00061

Measured 2mo ago against content hash e3b1c4c540d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

developer-knowledge 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 2mo 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.

GEMINI.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DeveloperKnowledge MCP Server

This server provides access to documentation about Google developer products. It can search for relevant documents based on a query and retrieve the full content of those documents.

Tools

search_documents

This is the primary tool to search for documentation. It returns snippets of relevant documents, along with their names and URLs. If snippets are insufficient, use get_documents to retrieve full content.

When to use:

  • Use this tool as the first step when a user asks a question about one of the covered Google developer products and you need to find relevant documentation.

When not to use:

  • Do not use this tool if the user's question is not related to one of the covered Google developer products.
  • Do not use this tool if you already have a document name and need its content; use get_documents instead.

Example: If a user asks "How do I create a Cloud Storage bucket?", you should call: print(developer_knowledge.search_documents(query="How to create a Cloud Storage bucket?"))

answer_query

Use this tool to let another model search for content and synthesize an answer. This can save tokens in your own context window. This can be helpful for summarizing complex results. answer_query returns citations for its response. If needed, you can fetch the full content of the citations using get_documents, just like you can with search_documents.

When to use:

  • Use this to synthesize complex information without using as many tokens as search_documents.

When not to use:

  • Do not use this tool if the user's question is not related to one of the covered Google developer products.
  • Do not use this tool if you already have a document name and need its content; use get_documents instead.

get_documents

This tool retrieves the full content of multiple documents (up to 20) in a single call, based on their names.

When to use:

  • After calling search_documents, if multiple results seem relevant but their snippets are insufficient to answer the user's question, use this tool to retrieve the full document content of up to 20 results in a single call, using the parent returned by search_documents.

Read the full file on GitHub · 74 lines

Changes

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.

  1. 2mo ago First seen · 74 lines · 612 tokens per session scan A e3b1c4c540d6

Subscribe to this mod's changes

developer-knowledge GEMINI.md is an instructions file published in the GitHub repository gemini-cli-extensions/developer-knowledge (9 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 612 tokens to every session, about $0.0024 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 2026-08-30.

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