Curated with by@mohithkumar808

№ 0093Skill

sol-loop: GPT plans, Muse Spark builds

sol-loop pairs a GPT planner on a Codex subscription with Muse Spark in opencode as executor, which returns evidence and diffs for each atomic spec; the author says over 99% of tokens run on Muse.

lucasduys/sol-loopREADME ↗

sol-loop

License: MIT
seed evals 6/6
smoke 6/6 both arms
planner ~9 units/task
SWE-bench Verified 2/2 official
Codex 20 EUR sub

Sol plans. Muse builds. You keep the 20 EUR subscription.

GPT xhigh on your Codex subscription emits one atomic SPEC per turn. Muse Spark in opencode does all the reading, editing, and testing, then returns EVIDENCE. Sol decides the next step. Over 99 percent of tokens run on Muse.

git clone https://github.com/LucasDuys/sol-loop.git && ./sol-loop/install.sh
cd your-repo
sol-loop --goal GOAL.md --allow allow.txt

No auth needed to start: mock mode works immediately, live mode lights up after codex auth login. The installer links the skill plus both agents into opencode and puts sol-loop on your PATH.


How it works

flowchart LR
    G["GOAL.md + allow.txt"] --> S["Sol planner<br/>GPT xhigh, subscription"]
    S -->|"SPEC: task, files,<br/>steps, checks"| M["Muse executor<br/>opencode subagent"]
    M -->|"EVIDENCE + diff"| R{"Router<br/>allow-list check"}
    R -->|"pass"| S
    R -->|"reject"| M
    S -->|"DONE: cites<br/>check output"| D["Done"]
  1. Sol outputs SPEC: with NEXT_TASK, FILES, STEPS, DONE_WHEN, FORBIDDEN. Or QUESTION:, DONE:, BLOCKED:, verbatim. Sol never sees your files, only goal plus evidence plus allow list.
  2. Muse executes inside FILES only and returns EVIDENCE: with CHANGED, CHECKS, STATE, NEXT. Full harness: allow-list contract, skills on demand, MCP docs, browser verify.
  3. Router code enforces the boundary. Diffs outside the allow list are rejected before they reach Sol. Nothing is DONE without raw command output. Summary prose does not count.

Contracts in SKILL.md and references/scopes.md. Prompts in agents/. Ported from the Kenward agent prompt standard: determinism beats instruction, pre-resolve before reasoning, every rule ships with an eval case.


Measured

sol-loop: GPT plans, Muse Spark builds on github.com

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