winkterm AGENTS.md

winkterm AGENTS.md is an instructions file for Codex, OpenCode from Cznorth/winkterm. It costs 2,718 tokens per session, scanned A, original, MIT.

Project instructions for WinkTerm, a tool where a user and an AI share an interactive terminal session.

In plain words
What is it for?
Use them to develop the backend, start the local server, run the automated test suite, and verify the agent terminal and WebSocket features.
Why use it?
They give developers the project's main commands and testing process, including backend, frontend, API, and terminal checks.

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/cznorth/winkterm/agents-md
Clone the repo
git clone --depth 1 https://github.com/Cznorth/winkterm

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 winkterm AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/cznorth/winkterm/agents-md.svg)](https://agentmods.dev/instructions/cznorth/winkterm/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/cznorth/winkterm/agents-md"><img src="https://agentmods.dev/badge/instructions/cznorth/winkterm/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,718 This file is loaded in full into every session.
When invoked 2,718 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.02718 $0.02718
Opus 5 $0.01359 $0.01359
Sonnet 5 $0.00544 $0.00544
Haiku 4.5 $0.00272 $0.00272

Measured 3d ago against content hash c952a824a67a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

winkterm AGENTS.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s http://localhost:8000/api/agent/handshake
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.

Project Overview

WinkTerm is an AI + terminal "human-machine fusion" ops tool. The AI and the user share the same pty session, and all interaction happens inside the terminal. The user talks to the AI by typing a # message; the AI can suggest commands and write them into the input line, where the user presses Enter to run or Backspace to edit.

Common Commands

Backend Development

cd backend
python -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install -r requirements.txt

# Start the development server
python -m uvicorn backend.main:app --reload --port 8000

Automated Test Suite

# From the repository root, run the stable full local suite:
.\scripts\test-all.ps1

# Optional flags:
.\scripts\test-all.ps1 -SkipFrontendE2E
.\scripts\test-all.ps1 -SkipCodexSmoke
.\scripts\test-all.ps1 -RunVnc

scripts/test-all.ps1 runs backend pytest, frontend lint/build/typecheck, starts a temporary backend, verifies the agent terminal API, runs Codex chat and tool-call WebSocket smoke tests, starts the frontend, then runs the Puppeteer settings E2E. The script stops the backend/frontend processes it starts. VNC smoke is skipped by default because it requires a configured SSH/VNC target; use -RunVnc only when that target is available.

Frontend Development

cd frontend
npm install
npm run dev           # Development mode
npm run build         # Build (output to frontend/out/)
npm run lint          # Lint check
npm run gen:api       # Generate TypeScript types and react-query hooks from OpenAPI

When frontend/package.json or frontend dependencies change, always commit the matching frontend/package-lock.json. Before pushing, verify the Docker install path with the same npm major used by the Docker image:

cd frontend
npx [email protected] ci --omit=optional --ignore-scripts

Read the full file on GitHub · 288 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 · 288 lines · 2,718 tokens per session scan A c952a824a67a

Subscribe to this mod's changes

winkterm AGENTS.md is an instructions file published in the GitHub repository Cznorth/winkterm (20 stars, last pushed 1mo ago), licensed MIT. It adds 2,718 tokens to every session, about $0.0136 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.