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 commands/frankxai/starlight-intelligence-system/sigit 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/commands/frankxai/starlight-intelligence-system/si)<a href="https://agentmods.dev/commands/frankxai/starlight-intelligence-system/si"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/si.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 5.1 | $0.00000 | $0.00244 |
| Opus 5 | $0.00000 | $0.00122 |
| Sonnet 5 | $0.00000 | $0.00049 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
si 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 5d 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
/si Command
Route operator work to the right local CLI or native generation tool.
Load skills/orchestration/cli-tool-router.md and, when handing work to another agent, skills/orchestration/agent-handoff-packet.md.
Supported lanes: Claude, Codex, Gemini, OpenCode, Cursor, Antigravity, Grok, and native image tools.
Shortcut map:
| Repo | Antigravity | Grok |
|---|---|---|
| Arcanea | agyarc / agya |
grarc |
| SIS | agysis |
grsis |
| FrankX | agyfx |
grfx |
| GenCreator | agyg |
grg |
| Vibeclubs | agyvc |
grvc |
| AnimeLegends | agyani |
grani |
| DPI | agydpi |
grdpi |
If the task asks for image generation or image editing, use the native image tool available in the current surface first.
Output the chosen lane, exact command/tool, task packet if needed, and verification step.
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.
- 5d ago First seen · 24 lines · 0 tokens per session scan A ce803fb0c2cc
si is a command published in the GitHub repository frankxai/Starlight-Intelligence-System (8 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 244 tokens. 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 commands, from other repositories
memories
View and manage learned memories.
mpm-session-resume
Load context from paused session.
forget
Delete specific memories.
learn
Add new learning to memory.
gbu-retro
Post-session retrospective — harvest this session's lessons into durable doctrine.
consolidate
Write a compact checkpoint summary of the current frontier.