Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/mikezio/agent-drop/gemini-mdgit clone --depth 1 https://github.com/mikezio/agent-dropWrote 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/mikezio/agent-drop/gemini-md)<a href="https://agentmods.dev/instructions/mikezio/agent-drop/gemini-md"><img src="https://agentmods.dev/badge/instructions/mikezio/agent-drop/gemini-md.svg" alt="Measured on agentmods" 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 | $0.00128 | $0.00128 |
| Opus 5 | $0.00064 | $0.00064 |
| Sonnet 5 | $0.00026 | $0.00026 |
| Haiku 4.5 | $0.00013 | $0.00013 |
Grade A, and why
agent-drop 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 3d 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.
What it actually says
Agent Drop MCP Usage
When this repo is configured as an MCP server in a CLI agent:
- Use
get_unread_uploadswhen the user says they uploaded, sent, or dropped a file. - Use
deliver_to_user_devicefor generated files, reports, screenshots, exports, and other artifacts. - Use
generate_and_deliver_fileonly for short text snippets. - Use
clear_dropsordelete_specific_droponly when the user wants cleanup.
This file is an example agent instruction. Users can adapt it for Gemini CLI, Codex CLI, Claude Code, or similar terminal agents.
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.
- 3d ago First seen · 11 lines · 128 tokens per session scan A d7d16c099db2
agent-drop GEMINI.md is an instructions file published in the GitHub repository mikezio/agent-drop (0 stars, last pushed 2mo ago), licensed MIT. It adds 128 tokens to every session, about $0.0006 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 2026-08-31.
Other instructions, from other repositories
nexus-mcp AGENTS.md
AGENTS.md instructions for j7an/nexus-mcp, covering agents.md - guidelines for ai coding agents, project overview, build, lint, test commands, setup (first time) and run all tests (unit + e2e, fast).
deva CLAUDE.md
Claude Code instructions for thevibeworks/deva, covering claude.md, deva architecture: container-based agent sandboxing and we're following issue-based development (ibd) workflow.
deva AGENTS.md
AGENTS.md instructions for thevibeworks/deva: Repo guidance for coding agents lives in CLAUDE.md (architecture, issue-based development workflow) and workflows/ (issue, commit, PR, release conventions). Read those before changing anything.
ai-cli-in-docker AGENTS.md
AGENTS.md instructions for vladborovtsov/ai-cli-in-docker, a project described as: Collection of AI CLI wrappers: Run AI CLI tools (OpenAI Codex, Google Gemini, OpenCode, Claude Code) inside Docker to keep your host clean while persisting CLI auth/config on your machine.
mooc-starter-kit GEMINI.md
Gemini CLI instructions for jamditis/mooc-starter-kit, covering gemini.md, free tier, one-shot runs, worked example and more.
mooc-starter-kit AGENTS.md
AGENTS.md instructions for jamditis/mooc-starter-kit, covering agents.md, one-shot runs, worked example and more.