Sol Advisor

Astra Advisor is a Codex plugin for capability-routed software delivery from DannyMac180. GPT-6 Astra acts as the primary architect and acceptance owner: it plans work, decides whether bounded independent tasks should be delegated, selects supported native subagent models and reasoning effort, and continues parent-session work while delegations run. It uses the exposed collaboration tool to route tasks among Sol, Terra, and Luna subagents, then inspects the complete diff, reruns requested checks, and sends substantial changes to a fresh read-only reviewer; work is accepted only after the reviewer returns "ship". Each delegation reports its selected and runtime-observed settings, and tasks can end with an API-equivalent cost receipt that compares observed token usage with a versioned Astra pricing snapshot. It can be installed as a plugin in a current Codex CLI or ChatGPT desktop app with plugins enabled. The README notes that ChatGPT Work cloud tasks currently cannot provide arbitrary model or effort controls, so Astra does not dispatch model-pinned requests there by default.

An open-source Codex configuration that uses Astra as the root orchestrator and independent reviewer, with Luna-based subagents for exploration, implementation, testing, and research. It provides separate Pro and Plus profiles, TOML role configurations, an Astra orchestrator skill, project-level AGENTS.md instructions, and shell and PowerShell installers that copy the selected configuration into a target repository. The profiles set model, reasoning-effort, approval, sandbox, and concurrent-thread settings, while named role files can override the defaults. The repository also includes guides for orchestration patterns, plan-specific setup, iteration, and token-usage reporting from Codex session logs. It is licensed under Apache License 2.0.

Codex Orchestration is a Codex plugin that coordinates multiple models and role-based stages within a single task. It can assign optional Planner, Advisor, and Designer roles, plus a required Executor; the selected Codex model passes work between them, checks each result, and returns the final answer. The Planner creates and revises a plan, the Advisor reviews it and can return PLAN_APPROVED, the Designer produces an optional visual or UX handoff, and Executors implement the approved plan, potentially in parallel. The workflow stops after approval or after a safety limit of eight reviews, showing unresolved issues if approval is not reached. It is installed through the Codex plugin marketplace and requires Python 3.11 or newer.

A personal Codex skill and orchestration workflow for splitting software-development tasks between GPT-6 Astra and DeepSeek V4.1 Flash. Astra handles planning, architecture, high-stakes decisions, task briefs, and final review; Flash handles scoped repository discovery, implementation, testing, debugging, and routine verification, then returns a patch and evidence for Astra's acceptance pass. The workflow supports existing plans and phased implementation bundles, normally uses one writer, and includes verification, checkpointing, dry-run installation, backups, and guarded undo receipts. It is an early release requiring a Codex client with native subagents, Python 3.11 or newer, GPT-6 Astra as the root model, and an already configured Codex Router route for DeepSeek V4.1 Flash. It installs a skill, a named builder agent, and a scoped workflow policy without changing credentials, the root model, or Router configuration; no third-party Python dependencies are required.