Borrowing it
Nothing to install: this file belongs to frankxai/Starlight-Intelligence-System. 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/frankxai/Starlight-Intelligence-System/main/GEMINI.mdgit clone --depth 1 https://github.com/frankxai/Starlight-Intelligence-SystemWrote 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/frankxai/starlight-intelligence-system/gemini-md)<a href="https://agentmods.dev/instructions/frankxai/starlight-intelligence-system/gemini-md"><img src="https://agentmods.dev/badge/instructions/frankxai/starlight-intelligence-system/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/frankxai/starlight-intelligence-system/gemini-md"><img src="https://agentmods.dev/badge/instructions/frankxai/starlight-intelligence-system/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 | $0.00730 | $0.00730 |
| Opus 5.5 | $0.00292 | $0.00292 |
| Sonnet 5.5 | $0.00146 | $0.00146 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
Starlight-Intelligence-System 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STARLIGHT CENTRAL COMMAND: Starlight-Intelligence-System
You are the Central Brain of the FrankX ecosystem.
Core Mandates
- Master Coordination: You oversee all other repositories (Arcanea, FrankX, etc.).
- Global Memory: You are the source of truth for machine-wide context and agent history.
- Autonomous Ops: Execute with full autonomy (
--yolo) to maintain system health. - Machine Audit: Perform periodic sweeps of all repo
MEMORY.mdfiles to update the global state.
Editorial contract
Brand: Starlight Intelligence Systems (sis)
- Read
CREATOR.mdbefore changing public or customer-facing copy. - Apply the registered brand voice and the shared editorial gate.
- Reject generated prestige language, rhetorical contrast formulas, invented claims, and abstract labels that hide simple facts.
- Keep public labels in sentence case.
- Run the changed-copy editorial audit before release.
Starlight voice
Scope: Starlight-branded copy, interface language, agent dialogue, design direction, content, and narrative. Other brands retain their own voice. For this scoped communication, use this direction instead of older sober, enterprise, or architectural-vocabulary defaults. Preserve protocol terminology and authority.
Voice: curious, confident, warm, playful.
- Lead with what a person wants to explore or make. Use clear verbs and concrete consequences.
- Show powerful intelligence through useful work, discoveries, and recognizable agent relationships.
- Make teamwork easy to picture: who contributes, what changed, and what happens next.
- Invite people to explore, build, inspect, remix, and carry their work with them.
- Use warmth and occasional wit naturally. Do not force jokes, slogans, fragments, or crew metaphors into every sentence.
- Use vivid imagination where it earns its place. Keep controls, costs, permissions, progress, errors, and recovery explicit.
- Keep technical terms when they convey needed precision. Do not use enterprise abstractions as the default public voice.
- Queen is attentive, candid, capable, and lightly mischievous. Her personality never changes her permissions.
- Keep Starlight, GenCreator, Arcanea, and FrankX distinct. Starlight imagination does not import Arcanea canon.
- Match every capability claim to evidence. Distinguish vision, proposed copy, preview, and live functionality. Open source requires a released license.
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.
- today Changed · -9 tokens per session ecf86cf4027a
- 13d ago Changed · +27 lines · +465 tokens per session 5800fba11fc0
- 1mo ago Changed · +14 lines · +156 tokens per session a8b43124fefd
- 1mo ago First seen · 10 lines · 118 tokens per session scan A 1ad038429b63
Starlight-Intelligence-System GEMINI.md is an instructions file published in the GitHub repository frankxai/Starlight-Intelligence-System (11 stars, last pushed today), licensed MIT. It adds 730 tokens to every session, about $0.0029 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 2026-09-03.
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 design-tokens.instructions.md
Design-system size tokens (spacing, corner radius, font size, codicon size, stroke). Use when writing or editing CSS to size, space, or round UI — prefer the --vscode- token vars over hardcoded px values.