sol-luna-router

sol-luna-router is a skill for Codex from majiayu000/spellbook. It costs 123 tokens per session (2,828 once invoked), scanned A, original, MIT.

A routing workflow that sends a bounded coding or repository-review task to a separate worker and has another agent direct and verify the work.

In plain words
What is it for?
It is used to delegate one implementation or investigation, review the worker's result, and enforce limits on concurrent changes and worker configuration.
Why use it?
It creates an isolated, reviewable process for delegated changes while keeping final decisions and checks with the supervising agent.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md; mentions Codex.

Good fit It is used to delegate one implementation or investigation, review the worker's result, and enforce limits on concurrent changes and worker configuration.

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Install with agentmods
npx agentmods add skills/majiayu000/spellbook/sol-luna-router
Install

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.

Any agent
npx skills add majiayu000/spellbook --skill sol-luna-router
Clone the repo
git clone --depth 1 https://github.com/majiayu000/spellbook

Made for: Codex.

Wrote 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.

agentmods badge for sol-luna-router

README.md
[![agentmods](https://agentmods.dev/badge/skills/majiayu000/spellbook/sol-luna-router/github.svg)](https://agentmods.dev/skills/majiayu000/spellbook/sol-luna-router)
Your own site
<a href="https://agentmods.dev/skills/majiayu000/spellbook/sol-luna-router"><img src="https://agentmods.dev/badge/skills/majiayu000/spellbook/sol-luna-router/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.

agentmods 80×15 button for sol-luna-router

Your own site · 80×15
<a href="https://agentmods.dev/skills/majiayu000/spellbook/sol-luna-router"><img src="https://agentmods.dev/badge/skills/majiayu000/spellbook/sol-luna-router.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,828 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 41
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00123 $0.02828
Opus 5 $0.00062 $0.01414
Sonnet 5 $0.00025 $0.00566
Haiku 4.5 $0.00012 $0.00283

Measured 7d ago against content hash 42395ca60cea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

sol-luna-router 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 7d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/analyze_run_log.py, scripts/run_luna_worker.py, scripts/test_analyze_run_log.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/sol-luna-router/SKILL.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sol-Luna Router

Keep Sol responsible for decisions and final verification. Use Luna Max for one bounded implementation or read-only investigation. Use the bundled runner instead of native spawn_agent; current Sol and Luna releases can select different multi-agent backends.

Boundaries

  • Distinguish Skill activation from worker dispatch: inspect router configuration, usage, telemetry, and efficiency questions read-only without launching Luna; keep small or straightforward tasks Sol-only unless the user explicitly requests Luna; launch Luna only for explicit delegation or when isolated, auditable two-stage execution is substantively needed.
  • Treat the current Sol thread as commander and reviewer. Do not edit target product files from this thread.
  • Delegate concrete implementation, fixes, worker-owned tests, or bounded read-only investigation to Luna Max.
  • Fix every new and resumed worker invocation to gpt-5.6-luna with reasoning effort max.
  • Allow only one write-capable Luna worker in a worktree at a time. Parallelize read-only work, or use isolated worktrees with explicit, disjoint file ownership.
  • Keep the parent approval and sandbox boundary intact. Never add bypass, full-access, force-push, credential, or secret-handling flags.
  • For delegated coding tasks, fix Apps, Plugins, and recommended-plugin context off for every worker run and resume so the task stays self-contained. Keep --strict-config fail closed; report a stale user configuration as config_incompatible and fix it instead of bypassing it.
  • Stop after three failed correction cycles on the same root cause and reassess the hypothesis.
  • Never claim completion from the worker summary alone. Verify from the current session.
  • Do not use worker timeout as a test budget. Select a profile and give every potentially expensive command an explicit bound before launch.
  • Keep the commander thin: do not duplicate Luna's repository scan or implementation analysis; launch one bounded worker, collect one result, and combine independent verification commands into the smallest safe check. Resume only from concrete failed evidence.

Read the full file on GitHub · 228 lines

Changes

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.

  1. 7d ago First seen · 228 lines · 123 tokens per session scan A 42395ca60cea

Subscribe to this mod's changes

sol-luna-router is a skill published in the GitHub repository majiayu000/spellbook (278 stars, last pushed yesterday), licensed MIT. It adds 123 tokens to every session and 2,828 once invoked, about $0.0006 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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