sol-luna-engineering-workflow AGENTS.md

sol-luna-engineering-workflow AGENTS.md is an instructions file for Codex, OpenCode from BruceLanLan/sol-luna-engineering-workflow. It costs 618 tokens per session, scanned A, original, MIT.

An engineering workflow guide that explains how coding tasks are assigned between different AI models and helper agents. It defines when to work directly, split independent work, or ask a specialist for advice.

In plain words
What is it for?
Use it when planning coding, analysis, testing, review, or task-orchestration work in this project.
Why use it?
It helps the team choose an appropriate review and delegation path before making substantial changes.

Instructions file for CodexOpenCode

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.

agentmods
npx agentmods add instructions/brucelanlan/sol-luna-engineering-workflow/agents-md
Clone the repo
git clone --depth 1 https://github.com/BruceLanLan/sol-luna-engineering-workflow

Made for: Codex, OpenCode.

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README.md
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Per session 618 This file is loaded in full into every session.
When invoked 618 The same file — it is already loaded in full.
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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 $0.00618 $0.00618
Opus 5 $0.00309 $0.00309
Sonnet 5 $0.00124 $0.00124
Haiku 4.5 $0.00062 $0.00062

Measured 4d ago against content hash d75bb77e2cda, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sol-luna-engineering-workflow 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 4d 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.

AGENTS.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Luna-first Engineering Rules

Use GPT-5.6 Luna Max as the primary model for normal coding, analysis, testing, review, and task orchestration. Sol is an on-demand advisor, not the default supervisor.

Automatic routing

Before substantial work, silently choose the cheapest route that preserves quality:

  1. LUNA_LOCAL: Luna handles the task in the primary thread when requirements are clear or delegation overhead would exceed the work.
  2. LUNA_PARALLEL: Luna delegates at least two genuinely independent packets to luna_worker when parallelism materially improves speed or protects the main context.
  3. SOL_ADVISED: Luna delegates one explicit hard decision to sol_advisor, receives a plan or ruling, then returns implementation to Luna.

Do not call Sol merely because a task is long or touches many files. Size creates Luna packets; uncertainty, risk, and reasoning difficulty justify Sol.

Sol escalation gate

Call sol_advisor only when at least one condition holds:

  • requirements remain materially ambiguous or contradictory after targeted inspection;
  • architecture, security, privacy, authentication, authorization, cryptography, payments, destructive migration, data integrity, distributed consistency, or breaking compatibility requires a decision;
  • several plausible root causes remain after the cheapest discriminating checks;
  • two evidence-based implementation attempts failed;
  • final validation exposes an unresolved risk whose plausible failure cost is high.

Before calling Sol, provide:

  • one decision question;
  • relevant evidence already collected;
  • constraints and non-negotiables;
  • options considered, if known;
  • the required return format: recommendation, rationale, risks, implementation constraints, and acceptance criteria.

Sol does not perform routine implementation. After its decision, Luna executes and validates the plan. Request Sol review at the end only when the final artifact still contains a high-risk judgment.

Luna parallelism

Use luna_worker aggressively for independent implementation, tests, exploration, documentation, and mechanical changes. Parallelize only when:

Read the full file on GitHub · 58 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. 4d ago First seen · 58 lines · 618 tokens per session scan A d75bb77e2cda

Subscribe to this mod's changes

sol-luna-engineering-workflow AGENTS.md is an instructions file published in the GitHub repository BruceLanLan/sol-luna-engineering-workflow (142 stars, last pushed 1mo ago), licensed MIT. It adds 618 tokens to every session, about $0.0031 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 2026-08-30.

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