loushang: Instructions file for Codex

AGENTS.md

loushang AGENTS.md is an instructions file for Codex, OpenCode from zhnt/loushang. It costs 1,876 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for Loushang, a Python project with AI, agent, coding, and session modules.

In plain words
What is it for?
Use them when planning changes, choosing the right worktree, running tests or builds, and organizing Python modules, examples, scripts, and documentation.
Why use it?
They explain where code belongs, how long-lived worktree lanes are used, and which commands and naming rules contributors should follow.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md; mentions Codex.

This is zhnt/loushang's own configuration. It tells Codex and OpenCode how to work on loushang itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything loushang configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/dev/lsspace/loushang.

About the project

Loushang is an AI work system for carrying complex tasks from an initial intention through execution and verified delivery, with a coding-focused CLI and terminal workbench. It is for software developers who need routed models, persistent sessions, governed tools, and traceable workflows. Catalogue add-ons support its coding workflow.

zhnt/loushang · 1,884 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to zhnt/loushang. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/zhnt/loushang/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/zhnt/loushang

Made for: Codex, OpenCode.

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 loushang AGENTS.md

README.md
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Your own site
<a href="https://agentmods.dev/instructions/zhnt/loushang/agents-md"><img src="https://agentmods.dev/badge/instructions/zhnt/loushang/agents-md/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 loushang AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/zhnt/loushang/agents-md"><img src="https://agentmods.dev/badge/instructions/zhnt/loushang/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,876 This file is loaded in full into every session.
When invoked 1,876 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.01876 $0.01876
Opus 5.5 $0.00750 $0.00750
Sonnet 5.5 $0.00375 $0.00375
Haiku 4.5 $0.00188 $0.00188

Measured 11d ago against content hash dca97683ba8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

loushang 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 11d 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 · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Structure & Module Organization

This repository uses a src/ layout. Core package code lives in src/loushang/, with AI-facing modules under src/loushang/ai/, agent code under src/loushang/agent/, and coding/session infrastructure under src/loushang/coding/. Tests live in tests/. Runnable examples live in examples/ai/, with supporting scripts in scripts/ and exploratory work in spikes/. Architecture and design notes belong in docs/.

Worktree Lane Conventions

Use long-lived worktree lanes for major module work:

  • /home/dev/lsspace/loushang is the control/integration lane. It normally stays on main and is used for progress management, direction coordination, final verification, merge/push, and small integration-only edits.
  • .worktrees/tui is the long-lived Native TUI lane. For TUI-dominant work, create or switch task branches inside this lane.
  • .worktrees/code is the long-lived V1 code hardening lane. For coding/runtime/session/tool/policy/diagnostics-dominant work, create or switch task branches inside this lane.
  • .worktrees/harness is the long-lived cross-product harness lane. For loushang.harness, product-neutral shared substrate, coding-to-harness migration, tool/approval/presentation/resource/context boundary work, and harness architecture docs, create or switch task branches inside this lane. Use lane/harness as an integration branch and keep unfinished harness migration out of main; see docs/internals/architecture/harness/development-workflow.md.
  • .worktrees/method is the long-lived method/work-runtime lane when method-layer work is active. For loushang.method, method execution semantics, MethodPlan/WorkEvent projection, and work/method integration work, create or switch task branches inside this lane.
  • .worktrees/ai is the long-lived AI/provider lane when AI-layer work is active. For AI/provider/model/usage/auth work, create or switch task branches inside this lane.
  • .worktrees/agent is the long-lived agent-runtime lane when agent-layer work is active. For agent loop/session orchestration/queue/tool-call semantics work, create or switch task branches inside this lane.
  • .worktrees/ontology is the long-lived ontology lane. For loushang.ontology, operational ontology infrastructure, semantic schema/runtime, ontology actions/functions, standards interoperability, data fusion, and ontology architecture docs, create or switch task branches inside this lane. Use lane/ontology as its integration branch and keep it synchronized with the control lane's latest main.

Read the full file on GitHub · 95 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. 11d ago Changed · +6 lines · +89 tokens per session dca97683ba8b
  2. 12d ago Changed · +10 lines · +135 tokens per session 57525ff445fd
  3. 13d ago Changed · +13 lines · +135 tokens per session fc4df4d34267
  4. 1mo ago Changed · +9 lines · +141 tokens per session d55d0b653d75
  5. 1mo ago First seen · 57 lines · 1,376 tokens per session scan A 487e300a719e

Subscribe to this mod's changes

loushang AGENTS.md is an instructions file published in the GitHub repository zhnt/loushang (1,884 stars, last pushed today), licensed Apache-2.0. It adds 1,876 tokens to every session, about $0.0075 per session on Opus 5.5. 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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