lusha-mcp-plugin: Instructions file for Gemini CLI

GEMINI.md

lusha-mcp-plugin GEMINI.md is an instructions file for Gemini CLI from lusha-oss/lusha-mcp-plugin. It costs 955 tokens per session, scanned A, original, MIT.

Repository guidance for a Lusha extension for Gemini CLI, connecting Gemini to Lusha's business-contact intelligence service. It explains when to look up contacts, build prospect lists, find buying signals, or find similar prospects, as well as authentication rules.

In plain words
What is it for?
Use it when changing or operating contact lookups, prospect searches, buying-signal searches, lookalike searches, or authentication behavior.
Why use it?
It tells coding agents how to use the extension consistently and which workflow fits each kind of contact or company research.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions Claude Code; mentions Codex; mentions Gemini CLI.

This is lusha-oss/lusha-mcp-plugin's own configuration. It tells Gemini CLI how to work on lusha-mcp-plugin 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 lusha-mcp-plugin configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lusha-oss/lusha-mcp-plugin. 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/lusha-oss/lusha-mcp-plugin/master/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/lusha-oss/lusha-mcp-plugin

Made for: Gemini CLI.

Wrote this? Show the measurements

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README.md
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<a href="https://agentmods.dev/instructions/lusha-oss/lusha-mcp-plugin/gemini-md"><img src="https://agentmods.dev/badge/instructions/lusha-oss/lusha-mcp-plugin/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.

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Per session 955 This file is loaded in full into every session.
When invoked 955 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 $0.00955 $0.00955
Opus 5.5 $0.00382 $0.00382
Sonnet 5.5 $0.00191 $0.00191
Haiku 4.5 $0.00096 $0.00096

Measured 11d ago against content hash 0da099ae0342, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lusha-mcp-plugin 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 11d 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 · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lusha for Gemini CLI

This extension connects Gemini to Lusha's B2B intelligence platform through the Lusha MCP server. Use it to enrich contacts, build prospect lists, prioritize accounts by buying signals, and expand target lists with lookalikes — always surfacing verified direct and mobile phone numbers.

When to use it

Activate Lusha when the user wants to:

  • Look up a person — get verified phones, email, and company context. → use the enrich-contact workflow.
  • Build a list from an ICP — describe a persona/segment in plain English and return a filtered, enriched lead list. → use the prospect workflow.
  • Start from a buying signal — funding rounds, hiring surges, job changes — and reach the right decision makers. → use the signal-prospect workflow.
  • Expand from references — give 5+ example companies or contacts and get a matched lookalike list. → use the lookalike-prospect workflow.
  • Decide who to go after — no criteria, just "who should I work next?"; get recommended accounts with reasons, then their decision makers. → use the work-my-accounts workflow.
  • Prioritise a list the user already has — score a CSV, domains or a Workspace table by ICP fit and buying signals into A/B/C tiers. → use the score-my-list workflow.
  • Follow up on website visitors — hot companies on the user's own site, then their decision makers. → use the website-visitor-followup workflow.
  • Set up the ICP — build a Lusha Target Profile one question at a time. → use the set-up-my-icp workflow.
  • Save or export a result — to a Lusha Workspace table or the user's CRM. → use the save-or-export workflow.
  • Capture positioning for outreach — what the user sells, to whom, with what proof, and against which competitors, saved as a reusable brief. → use the outreach-research workflow.
  • Draft outreach — personalized Email 1 (optionally Emails 2–3 and LinkedIn messages) for contacts the user already has, from that brief plus Lusha signals. → use the outreach-sequence workflow.

Read the full file on GitHub · 72 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. 11d ago Changed · +16 lines · +267 tokens per session 0da099ae0342
  2. 24d ago Changed · +12 lines · +204 tokens per session 41889dd2cb01
  3. 2mo ago First seen · 44 lines · 484 tokens per session scan A 6e8fa82f3060

Subscribe to this mod's changes

lusha-mcp-plugin GEMINI.md is an instructions file published in the GitHub repository lusha-oss/lusha-mcp-plugin (4 stars, last pushed 2d ago), licensed MIT. It adds 955 tokens to every session, about $0.0038 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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