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/crewplaneai/crewplane/gemini-mdgit clone --depth 1 https://github.com/crewplaneai/crewplaneWhat 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 | $0.00067 | $0.00067 |
| Opus 5 | $0.00034 | $0.00034 |
| Sonnet 5 | $0.00013 | $0.00013 |
| Haiku 4.5 | $0.00007 | $0.00007 |
Grade A, and why
crewplane 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
GEMINI.md
@./AGENTS.md
Gemini-specific note:
- Keep this file thin. Put repo-wide instructions in
AGENTS.md. - Use
DEVELOPMENT.mdfor broader engineering context and guidance-maintenance rules. - If memory looks stale, use
/memory refreshor inspect/memory show.
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 · 9 lines · 67 tokens per session scan A 066f63b4d5a4
crewplane GEMINI.md is an instructions file published in the GitHub repository crewplaneai/crewplane (35 stars, last pushed 4d ago), licensed Apache-2.0. It adds 67 tokens to every session, about $0.0003 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.
Other instructions, from other repositories
AgentsMesh CLAUDE.md
Claude Code instructions for AgentsMesh/AgentsMesh, covering claude.md, project overview, components, development environment and quick start.
AgentsMesh AGENTS.md
AGENTS.md instructions for AgentsMesh/AgentsMesh: Read CLAUDE.md completely before changing this repository. It is the shared, detailed source for architecture, build, test, and development-environment rules; this file stays short so Codex does not truncate those instructions.
map-framework CLAUDE.md
Instructions for azalio/map-framework, covering map framework (mapify-cli) — agent instructions, what this repo is, critical invariant: template single-source render, skill catalog invariant and how to work in this repo.
ai-driven-development AGENTS.md
Instructions for CodeAlive-AI/ai-driven-development, covering ai-driven development — development guide, git publishing defaults, when to create tags and releases, requires a new tag/release and does not require a new tag/release.
metis AGENTS.md
Instructions for Wholiver/metis, covering agent development guide, objective, start every task, repository map and desktop frontend changes (mandatory).
SubFrame AGENTS.md
Instructions for Codename-11/SubFrame, covering subframe - subframe project, core working principle, relationship to native ai tools, session start and concurrent work & worktrees.