coding-with-beat AGENTS.md

Instructions for Coding With Beat’s music assistant, including how to handle mood-based searches, a user’s liked songs, and requests for help.

In plain words
What is it for?
Use them to search by mood, play or list liked songs, find tracks in the liked collection, and answer questions about the assistant’s available commands.
Why use it?
They clarify which search or playlist operation matches each kind of user request, including when to search only liked songs.

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/jaychempan/coding-with-beat/agents-md
Clone the repo
git clone --depth 1 https://github.com/jaychempan/coding-with-beat

Made for: Codex, OpenCode.

Per session 231 This file is loaded in full into every session.
When invoked 231 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.

ModelPer sessionOnce invoked
Fable 5 $0.00231 $0.00231
Opus 5 $0.00115 $0.00115
Sonnet 5 $0.00046 $0.00046
Haiku 4.5 $0.00023 $0.00023

Measured 2d ago against content hash 735126c971b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

coding-with-beat 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 · 26 lines

What it actually says

Coding With Beat

Music intent

When the user asks for music by mood, scene, or style description (e.g. "来首轻松的", "something for late-night coding", "带点爵士的"), use smart_search() instead of search().

Use search() only when the user provides a specific track title, artist name, or album title.

Loved / 喜欢列表

When user says: 从喜欢里 / 收藏里找 / 我喜欢的 / loved only / play from liked / 心动歌单 → call search_loved(query) instead of smart_search()

When user says: 列出收藏 / 我的喜欢 / show liked / list loved / 喜欢列表 → call list_loved()

Normal smart_search() already includes loved tracks (ranked first, tagged [♥ 喜欢]).

Tips / 帮助

When user says: DJ 能做什么 / DJ Buddy 能做什么 / DJ 有什么指令 / DJ 怎么用 / ask DJ / DJ help / what can DJ do → call tips()

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 · 26 lines · 231 tokens per session scan A 735126c971b8

Subscribe to this mod's changes

coding-with-beat AGENTS.md is an instructions file published in the GitHub repository jaychempan/coding-with-beat (114 stars, last pushed 2mo ago), licensed MIT. It adds 231 tokens to every session, about $0.0012 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.