Borrowing it
Nothing to install: this file belongs to Phudit-2547/ChuMaiNichi. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Phudit-2547/ChuMaiNichi/main/AGENTS.mdgit clone --depth 1 https://github.com/Phudit-2547/ChuMaiNichiWrote 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.
[](https://agentmods.dev/instructions/phudit-2547/chumainichi/agents-md)<a href="https://agentmods.dev/instructions/phudit-2547/chumainichi/agents-md"><img src="https://agentmods.dev/badge/instructions/phudit-2547/chumainichi/agents-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.08075 | $0.08075 |
| Opus 5 | $0.04038 | $0.04038 |
| Sonnet 5 | $0.01615 | $0.01615 |
| Haiku 4.5 | $0.00808 | $0.00808 |
Grade A, and why
ChuMaiNichi 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ChuMaiNichi CLAUDE.md — 98% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 502 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — ChuMaiNichi
Repository: https://github.com/Phudit-2547/ChuMaiNichi Owner: Phudit (Big), CEDT Year 3, Chulalongkorn University
What is this project?
ChuMaiNichi (Chunithm + maimai + 毎日/mainichi = "playing daily") is a personal dashboard for CHUNITHM and maimai DX arcade rhythm game players. It tracks daily play counts, ratings over time, and uses an AI agent to suggest songs for efficient rating improvement.
This repo merges two previous repos:
Phudit-2547/Chunimai-tracker(Python Playwright scraper, 63 commits — code lives inscraper/)Phudit-2547/Chunimai_dashboard(old Bun/Elysia dashboard — fully replaced, no code carried over)
Architecture overview
Browser (React SPA on Vercel)
│
├── GET /api/auth → password check only (no DB) — the login gate
├── POST /api/query → Neon PostgreSQL (read-only SQL; client retries cold starts)
├── POST /api/chat → Codex subscription or OpenAI-compatible API (tool-use, streaming)
├── GET/POST /api/codex-auth → ChatGPT device login/status/disconnect
├── POST /api/refresh → GitHub API (trigger workflow_dispatch) + GET poll
└── GET /api/model, /api/rating-image, /api/cover
GitHub Actions (cron + manual trigger)
├── scrape-daily.yml → Playwright scraper → Neon → Discord webhook
└── scrape-user-data.yml → chuumai-tools Docker → Neon (no git commit)
Neon PostgreSQL (free tier, serverless — scales to zero, so first query pays a warmup cost)
├── daily_play — International: one row per date, both games combined
├── japan_daily_play — Journal-derived Japan activity, including ONGEKI tracks
├── user_scores — International JSONB snapshots from chuumai-tools scraper
├── user_rating_images — rendered rating-frame images (served by /api/rating-image)
└── codex_oauth_credentials — encrypted Codex credential + model preference
Key constraint: All secrets (DATABASE_URL, provider keys, Codex OAuth tokens, GITHUB_PAT) live exclusively in Vercel env vars, encrypted Neon storage, and GitHub repo secrets. The browser NEVER sees connection strings, API keys, or ChatGPT access/refresh tokens. This is why we use Vercel (serverless functions) instead of GitHub Pages (static-only).
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 · 502 lines · 8,075 tokens per session scan A 0e5931522c06
ChuMaiNichi AGENTS.md is an instructions file published in the GitHub repository Phudit-2547/ChuMaiNichi (2 stars, last pushed 4d ago), licensed MIT. It adds 8,075 tokens to every session, about $0.0404 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.