WAVE: Instructions file for Codex

AGENTS.md

WAVE AGENTS.md is an instructions file for Codex, OpenCode from emilyLi2020/WAVE. It costs 7,117 tokens per session, scanned A, original, Apache-2.0.

Project instructions for WAVE, an AI urge-surfing companion for people recovering from substance use disorder, with a Next.js web demonstration.

In plain words
What is it for?
Use them when developing the web demo's session experience, medication-aware prompts, craving history, pattern dashboard, or related Next.js and Tailwind code.
Why use it?
They explain the product goal, the active web-demo directory, the intended mobile app, and the shared product requirements.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions Claude Code; mentions AGENTS.md.

This is emilyLi2020/WAVE's own configuration. It tells Codex and OpenCode how to work on WAVE 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 WAVE configures →

Reuse

Borrowing it

Nothing to install: this file belongs to emilyLi2020/WAVE. 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/emilyLi2020/WAVE/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/emilyLi2020/WAVE

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.

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README.md
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Per session 7,117 This file is loaded in full into every session.
When invoked 7,117 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 $0.07117 $0.07117
Opus 5.5 $0.02847 $0.02847
Sonnet 5.5 $0.01423 $0.01423
Haiku 4.5 $0.00712 $0.00712

Measured 1mo ago against content hash 10a11bc1ac34, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

WAVE 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 1mo 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 · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Project Overview

WAVE is an AI-powered urge surfing companion for people in Substance Use Disorder (SUD) recovery. It guides patients through evidence-based urge surfing sessions (Marlatt's Mindfulness-Based Relapse Prevention protocol), personalized in real time by the patient's current medication status, craving intensity, and trigger. Over time it learns each patient's personal high-risk windows and fires prophylactic notifications 15 minutes before a predicted craving, intervening during the anticipation phase when patients still have executive function.

The production vision is a React Native mobile app that runs Gemma 4 entirely on-device with all data stored locally (encrypted SQLite). The hackathon deliverable is a Next.js web demo in client/ that showcases the session UX, medication-aware prompting, and pattern dashboard. Both surfaces read from the same PRD in PRD.md.

Repo Layout

  • client/ — Next.js 16 (App Router) + TypeScript + Tailwind v4 web demo. This is the active hackathon surface and what pnpm dev / npm run dev runs. Includes app/ routes, scripted session chunks, the multi-turn check-in UI, dashboard/history/insights pages, and developer-only training screens.
  • supabase/migrations/ — historical SQL migrations for an earlier demo storage path. The current checked-in web demo uses mock data / local UI state; production mobile replaces this with encrypted on-device SQLite.
  • .agents/skills/, .claude/skills/ — Cursor / Claude Code agent skills (domain-to-spec, scaffold-frontend, scaffold-backend, v0-prompt-crafter, demo-prep, etc.). Do not edit these during feature work.
  • frontend/, backend/, web/, clients/ — Legacy or stale paths. Do not use. The live app is in client/.
  • AGENTS.md — This file. Shared instructions for every AI agent working in the repo.
  • PRD.md — Product Requirements Document. The source of truth for what to build and the medication-aware prompt logic.
  • README.md — Human-facing quickstart.

Read the full file on GitHub · 192 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. 1mo ago First seen · 192 lines · 7,117 tokens per session scan A 10a11bc1ac34

Subscribe to this mod's changes

WAVE AGENTS.md is an instructions file published in the GitHub repository emilyLi2020/WAVE (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 7,117 tokens to every session, about $0.0285 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 2026-08-31.

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