Borrowing it
Nothing to install: this file belongs to jaychempan/coding-with-beat. 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/jaychempan/coding-with-beat/main/AGENTS.mdgit clone --depth 1 https://github.com/jaychempan/coding-with-beatWrote 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/jaychempan/coding-with-beat/agents-md)<a href="https://agentmods.dev/instructions/jaychempan/coding-with-beat/agents-md"><img src="https://agentmods.dev/badge/instructions/jaychempan/coding-with-beat/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/jaychempan/coding-with-beat/agents-md"><img src="https://agentmods.dev/badge/instructions/jaychempan/coding-with-beat/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00231 | $0.00231 |
| Opus 5.5 | $0.00092 | $0.00092 |
| Sonnet 5.5 | $0.00046 | $0.00046 |
| Haiku 4.5 | $0.00023 | $0.00023 |
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 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.
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()
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.
- 1mo ago First seen · 26 lines · 231 tokens per session scan A 735126c971b8
coding-with-beat AGENTS.md is an instructions file published in the GitHub repository jaychempan/coding-with-beat (112 stars, last pushed 4mo ago), licensed MIT. It adds 231 tokens to every session, about $0.0009 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 2026-08-30.
Other instructions, from other repositories
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Model-specific prompt authoring and registry guidelines.