What is Monstrare AGENTS.md?

Project instructions for Monstrare, including its required workflow, design records, review gates, and checks before completion.

Planning features, recording interface decisions, following the project's task process, running reviews, and reporting verification results.

They tell coding agents what information to gather and what evidence to provide before making or declaring changes, especially for user-interface work.

Monstrare AGENTS.md — Instructions file for Codex and OpenCode by pjwang2022: Project instructions for Monstrare, including its required wor

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/pjwang2022/monstrare/agents-md

Clone the repo

git clone --depth 1 https://github.com/pjwang2022/Monstrare

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/pjwang2022/monstrare/agents-md.svg)](https://agentmods.dev/instructions/pjwang2022/monstrare/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/pjwang2022/monstrare/agents-md"><img src="https://agentmods.dev/badge/instructions/pjwang2022/monstrare/agents-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 848 This file is loaded in full into every session.

When invoked 848 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.

Model	Per session	Once invoked
Fable 5.1	$0.00848	$0.00848
Opus 5	$0.00424	$0.00424
Sonnet 5	$0.00170	$0.00170
Haiku 4.5	$0.00085	$0.00085

Measured 6d ago against content hash 166fce558943, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

Monstrare 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 6d 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 · 49 lines

What it actually says

Agent 指令

本專案使用 Monstrare。請遵循 ai/process/workflow.md 中的共用流程。

操作規則

不得根據模糊的需求實作非小型（non-trivial）變更。
從情境探索（context discovery）與任務專屬的情境包（context pack）開始。
實作前使用 ai/process/definition-of-ready.md。
宣告完成前使用 ai/process/definition-of-done.md。
UI 變更需要畫面規格與 mockup 決策紀錄（以 ai/templates/screen-spec.md、ai/templates/mockup-decision.md 為範本，產出到 ai/artifacts/<Epic>/），並先對照 ai/context/design-system.md：重用既有 design token 與元件，缺的元件照既有風格補做並登記回元件庫 inventory。
範本（ai/templates/）唯讀；所有填寫完成的產出物依 ai/artifacts/README.md 的慣例存放。
任何 mockup 或前端視覺實作，套用 ai/skills/design-craft.md 的設計工藝紀律，交付前對照 ai/checklists/design-review-checklist.md。
Epic 0 的 UI 設計系統須依五階段（框架 → 風格 → design token → 元件庫 → 版面）分關卡展開，不得一步到位直接畫版面（見 ai/skills/project-kickoff.md 步驟 2a）。
高風險變更需要架構、安全性與測試審查關卡（review gate）。
優先採用既有專案模式，而非新增抽象層。
將變更範圍限制在已核准的任務卡（task card）內。
不得在未告知的情況下變更不相關的檔案。
提供驗證證據：指令、輸出結果、UI 的螢幕截圖，以及已知的殘留風險。

必要流程

若是全新專案、還沒有 Epic/User Story 待辦清單，先執行 project-kickoff 流程，把專案拆解成 Epic → User Story → Task 並建立看板卡片，再對每張任務卡套用下方流程。

若 ai/context/project-map.md 存在，先閱讀它。
若專案情境缺失或過時，執行 project-search 工作流程。
對於新功能，建立或更新功能規格書。
對於 UI 工作，產出多個 mockup 變體並等待人工選擇。
產出 AI-ready 的任務卡。
一次實作一張已核准的任務卡。
執行驗證。
執行審查關卡。
彙整證據並在需要時請求人工驗收。

審查準則

審查程式碼時，優先關注：

功能性錯誤與回歸問題。
安全性與隱私風險。
身分驗證（auth）、權限、密鑰（secret）、檔案、網路與金流邊界。
資料驗證與錯誤處理。
可維護性、重複程式碼與架構偏移（architectural drift）。
缺失的測試或薄弱的驗證。

發現的問題應盡可能包含檔案與行號參照。

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.

6d ago First seen · 49 lines · 848 tokens per session scan A 166fce558943

Subscribe to this mod's changes

Monstrare AGENTS.md is an instructions file published in the GitHub repository pjwang2022/Monstrare (84 stars, last pushed 2mo ago), licensed MIT. It adds 848 tokens to every session, about $0.0042 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.

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

Monstrare AGENTS.md