Borrowing it
Nothing to install: this file belongs to jpantsjoha/ai-native-developer-experience. 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/jpantsjoha/ai-native-developer-experience/main/GEMINI.mdgit clone --depth 1 https://github.com/jpantsjoha/ai-native-developer-experienceWrote 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/jpantsjoha/ai-native-developer-experience/gemini-md)<a href="https://agentmods.dev/instructions/jpantsjoha/ai-native-developer-experience/gemini-md"><img src="https://agentmods.dev/badge/instructions/jpantsjoha/ai-native-developer-experience/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/jpantsjoha/ai-native-developer-experience/gemini-md"><img src="https://agentmods.dev/badge/instructions/jpantsjoha/ai-native-developer-experience/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 | $0.00273 | $0.00273 |
| Opus 5.5 | $0.00109 | $0.00109 |
| Sonnet 5.5 | $0.00055 | $0.00055 |
| Haiku 4.5 | $0.00027 | $0.00027 |
Grade A, and why
ai-native-developer-experience 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.
What it actually says
Shared agent contract
AGENTS.md, CLAUDE.md and GEMINI.md carry the same portable instructions.
Before taking delivery work, read docs/STATUS.md, then the relevant slice of
docs/ROADMAP.md; inspect open issues, PRs and worktrees and coordinate with the
active owner before starting a competing lane.
Ground changed intent in docs/VISION.md and the relevant versioned requirement.
Use skills/delivery-orchestrator/SKILL.md to maintain the golden thread through
GitHub Issues, acceptance checks, review and release. Load only the role, skill and
artifact sections needed for the current task; do not preload the whole library.
For repository changes read docs/REPOSITORY-CONTRACT.md. Run make check and
fresh, read-only independent adversarial review of the exact candidate before merge.
Before delegation read docs/MODEL-ROUTING.md. Explicit user authority and project
controls govern external actions; skill installation grants no authority.
Reconcile affected requirements, decisions, status, roadmap and changelog as work changes. After an authorised merge, verify integration and safely clean up only this lane's merged branches and clean worktrees. Never overwrite another lane.
Canonical skills live in skills/; .agents/skills/ is a discovery alias.
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.
- 11d ago Changed · -25 lines · -448 tokens per session d1c8ada51866
- 1mo ago First seen · 49 lines · 721 tokens per session scan A 24441aa7c4de
ai-native-developer-experience GEMINI.md is an instructions file published in the GitHub repository jpantsjoha/ai-native-developer-experience (13 stars, last pushed 11d ago), licensed Apache-2.0. It adds 273 tokens to every session, about $0.0011 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.