onWatch AGENTS.md

Project instructions for onWatch, an application that tracks AI service quotas in real time. It describes a lightweight background daemon, SQLite storage, and a Material Design 3 dashboard without telemetry collection.

In plain words
What is it for?
Use it when modifying onWatch's quota tracking, background process, SQLite data, dashboard, or integrations with services such as Anthropic, Codex, GitHub Copilot, and others.
Why use it?
It gives coding agents the project-specific context needed to work consistently in this codebase. Without these instructions, changes may overlook its quota sources, storage, dashboard, or privacy constraint.

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/onllm-dev/onwatch/agents-md
Clone the repo
git clone --depth 1 https://github.com/onllm-dev/onWatch

Made for: Codex, OpenCode.

Per session 4 This file is loaded in full into every session.
When invoked 4 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00004 $0.00004
Opus 5 $0.00002 $0.00002
Sonnet 5 $0.00001 $0.00001
Haiku 4.5 $0.00000 $0.00000

Measured 2d ago against content hash 6ebdb617a810, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

onWatch 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 2d 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 · 1 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 2d ago First seen · 1 lines · 4 tokens per session scan A 6ebdb617a810

Subscribe to this mod's changes

onWatch AGENTS.md is an instructions file published in the GitHub repository onllm-dev/onWatch (722 stars, last pushed 12d ago), licensed GPL-3.0. It adds 4 tokens to every session, about $0.0000 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.

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