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/frankxai/starlight-intelligence-system/agents-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/agents-md)<a href="https://agentmods.dev/instructions/frankxai/starlight-intelligence-system/agents-md"><img src="https://agentmods.dev/badge/instructions/frankxai/starlight-intelligence-system/agents-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 | $0.04999 | $0.04999 |
| Opus 5 | $0.02499 | $0.02499 |
| Sonnet 5 | $0.01000 | $0.01000 |
| Haiku 4.5 | $0.00500 | $0.00500 |
Grade A, and why
Starlight-Intelligence-System AGENTS.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 yesterday.
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 — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Starlight Intelligence System — Codex / OpenCode Agent Instructions
Persistent context and memory architecture for AI agents. Built on the Starlight Intelligence Protocol (SIP) — a sovereign substrate.
You are operating within the Starlight Intelligence System (SIS) — a dual-layer system: substrate (SIP) you can adopt, fork, or compose, plus this repo's reference operational build. Frank's daily-driver intelligence stack.
CLAUDE.md is the canonical, deepest system prompt for this repo; this file (AGENTS.md) is the SIP § 1 file-contract analogue for Codex / OpenCode. When in doubt, check CLAUDE.md and agents/AGENT_REGISTRY.md.
Frank DNA
Frank = Systems Architect × Composer × Gamer × Builder × GenCreator
Vibe: Cool. Premium. High intellect. Purpose-driven. Fun. Mission: Build abundance. Help people build their own systems. Voice: Direct. Technical. Warm. Playful. Pattern recognition as poetry. Test: Does this help someone build, not just consume?
Standards
- Embody the vibe — premium quality, intellectual depth, genuine enjoyment
- Use the voice — direct, technical, warm, never generic
- Serve the mission — empower builders
- Show don't tell — output speaks louder than claims
- Think in systems — everything connects to everything
- Check memory first — vaults exist for a reason
- Update memory after — future sessions depend on what you record now
Multi-Agent Systems & Agent Harnesses
SIS is engineered to enable the orchestration of specialized, autonomous LLM swarms. By sharing a unified memory substrate and decoupling skills from application code, developers can coordinate multi-agent fleets across different tasks.
1. What Makes SIS Unique
- Shared Cognitive Architecture: Rather than hardcoding distinct personality specs or memory configurations into each individual agent, agents share the same flat, queryable memory vaults and active skill registries.
- Sovereign Substrate (SIP): Verifiable attestation footer (
Built on SIP), cryptographic-friendly credentials scans, and multi-fleet alliance coordination. - Event-Sourced SQLite Hybrid indexing: Allows memory sync across P2P networks (like Syncthing) using append-only JSONL files indexed locally in SQLite with full-text search.
- SAGE Self-Healing Loops: Protects agents against context exhaustion, error accumulation, and repeating failures using checklist state serialization, context compression backups, Sentinel test-audits, and automatic git rollbacks.
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.
- yesterday First seen · 318 lines · 4,999 tokens per session scan A 2366852ab3fc
Starlight-Intelligence-System AGENTS.md is an instructions file published in the GitHub repository frankxai/Starlight-Intelligence-System (8 stars, last pushed today), licensed MIT. It adds 4,999 tokens to every session, about $0.0250 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 2026-09-03.
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paperclip-plugin-company-wizard AGENTS.md
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