seojae AGENTS.md

seojae AGENTS.md is an instructions file for Codex, OpenCode from VibeVista/seojae. It costs 3,811 tokens per session, scanned A, original, MIT.

A set of instructions for Seojae, a personal knowledge wiki that turns source files into organized Markdown pages. It defines the wiki's structure, language settings, setup needs, and rules for managing source material.

In plain words
What is it for?
Use it to configure Seojae, organize raw sources and wiki pages, and guide an LLM coding tool such as Claude Code, Codex CLI, or Gemini CLI.
Why use it?
It gives a coding assistant consistent rules for maintaining the wiki and keeps original source files separate from generated pages.

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/vibevista/seojae/agents-md
Clone the repo
git clone --depth 1 https://github.com/VibeVista/seojae

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 seojae AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/vibevista/seojae/agents-md.svg)](https://agentmods.dev/instructions/vibevista/seojae/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/vibevista/seojae/agents-md"><img src="https://agentmods.dev/badge/instructions/vibevista/seojae/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,811 This file is loaded in full into every session.
When invoked 3,811 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.03811 $0.03811
Opus 5 $0.01906 $0.01906
Sonnet 5 $0.00762 $0.00762
Haiku 4.5 $0.00381 $0.00381

Measured 3d ago against content hash 4d92e57d39a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

seojae 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 3d 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 · 338 lines

How it starts

The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Seojae (서재) — Wiki Schema

This file defines the rules and workflows for your LLM-powered knowledge wiki. Your LLM coding tool reads this file and follows these instructions to manage your wiki automatically. It is tool-agnostic — it works with Claude Code, Codex CLI, Gemini CLI, or any LLM coding tool that reads markdown instructions.

schema_version: "1.0"

# Wiki Configuration
wiki_language: en    # Default language for meta files (index.md, log.md)
                     # Options: en, ko, ja, zh, etc.
                     # Page content follows source language rules below

Project Overview

Seojae is a pattern-based personal knowledge wiki with a 3-tier architecture:

  1. Raw sources (raw/) — Immutable originals. Only the user adds files; the LLM reads only.
  2. Wiki (wiki/) — LLM-generated/maintained markdown pages: summaries, entities, concepts, synthesis.
  3. Schema (WIKI_SCHEMA.md) — This file. Defines wiki rules and workflows.

Prerequisites

  • Python 3.9+ with pip
  • Internet access on first run (downloads ~470MB embedding model)
  • An LLM coding tool: Claude Code, Codex CLI, Gemini CLI, or similar

If you cannot download the model immediately, you can skip the search index setup and build it later with the Reindex workflow.

Setup

When a user asks to initialize this wiki, perform these steps:

1. Update your tool's rule file

The repo ships starter stubs. After initialization, update the file for your tool with environment-specific settings.

Claude Code (CLAUDE.md):

@WIKI_SCHEMA.md
@extensions/search-chromadb.md
@extensions/obsidian.md

# Environment
- Python: use `venv/bin/python` prefix or `source venv/bin/activate`
- All tools/ scripts require the venv to be active

Codex CLI (AGENTS.md):

(Full WIKI_SCHEMA.md content is already inlined)
(Append active extension contents below)

# Environment
- Python: always use `venv/bin/python` prefix (venv activation
  does not persist between commands in Codex)

Read the full file on GitHub · 338 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. 3d ago First seen · 338 lines · 3,811 tokens per session scan A 4d92e57d39a6

Subscribe to this mod's changes

seojae AGENTS.md is an instructions file published in the GitHub repository VibeVista/seojae (1 stars, last pushed 1mo ago), licensed MIT. It adds 3,811 tokens to every session, about $0.0191 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 2026-08-31.

Related

Other instructions, from other repositories