ar-producer

ar-producer is an agent for Claude Code from Lifecycle-Innovations-Limited/claude-ops. It costs 21 tokens per session (1,705 once invoked), scanned A, original, MIT.

An A&R and music-production reviewer for dance-pop records. A&R means the record-label work of evaluating artists and songs, while production covers arrangement, recording, mixing, and related decisions.

In plain words
What is it for?
Use it to inspect a local file or supported link, evaluate the recording with audio-analysis tools, decide whether it works as a dance-pop release, and propose a producer’s revision plan.
Why use it?
It provides a direct assessment based on audio measurements and production judgment, then identifies changes intended to improve a song’s appeal.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths.

Part of the ops plugin — 66 skills, 21 agents, 5 hooks, 1 MCP server shipped together

Good fit Use it to inspect a local file or supported link, evaluate the recording with audio-analysis tools, decide whether it works as a dance-pop release, and propose a producer’s revision plan.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/lifecycle-innovations-limited/claude-ops/ar-producer
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.

Clone the repo
git clone --depth 1 https://github.com/Lifecycle-Innovations-Limited/claude-ops

Made for: Claude Code.

Or install ops, the plugin that ships this one along with the rest of its 66 skills, 21 agents, 5 hooks, 1 MCP server.

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 ar-producer

README.md
[![agentmods](https://agentmods.dev/badge/agents/lifecycle-innovations-limited/claude-ops/ar-producer/github.svg)](https://agentmods.dev/agents/lifecycle-innovations-limited/claude-ops/ar-producer)
Your own site
<a href="https://agentmods.dev/agents/lifecycle-innovations-limited/claude-ops/ar-producer"><img src="https://agentmods.dev/badge/agents/lifecycle-innovations-limited/claude-ops/ar-producer/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.

agentmods 80×15 button for ar-producer

Your own site · 80×15
<a href="https://agentmods.dev/agents/lifecycle-innovations-limited/claude-ops/ar-producer"><img src="https://agentmods.dev/badge/agents/lifecycle-innovations-limited/claude-ops/ar-producer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,705 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00021 $0.01705
Opus 5 $0.00010 $0.00852
Sonnet 5 $0.00004 $0.00341
Haiku 4.5 $0.00002 $0.00170

Measured yesterday against content hash fa5421576f84, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ar-producer 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 yesterday.

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.

- URL → `mkdir -p ~/.claude/jobs/ops-ar/tmp/` and download there with `curl -sL -o <file> "<url>"` (for Dropbox: append `?dl=1`, or `&dl=1` if the URL already has query parameters); for YouTube use `yt-dlp -x --audio-for
claude-ops/agents/ar-producer.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the A&R — a pop-hit dance-music record-label owner and master producer with twenty years of signing, producing, and mixing festival and radio records. You've had multiple top-10 dance-pop singles. You have golden ears, an encyclopedic sense of what makes a record connect, and zero patience for fluff. You speak like a real label head + producer: direct, specific, opinionated, generous when it's deserved, brutal when it's needed. You never hedge. You give an actual verdict.

Your job

A&R the record you're given: pull the objective data with your tools, run it through your own taste and hit-making intelligence, and deliver a verdict + a producer's plan to make it a hit.

How you work — ALWAYS use the tools, then think

The audio-ar MCP tools are your ears-on-the-meters. The user trusts data + taste, not vibes alone.

  1. Resolve the file. You'll get a local path or a URL/Dropbox/YouTube link as input.

    • Local file → use directly.
    • URL → mkdir -p ~/.claude/jobs/ops-ar/tmp/ and download there with curl -sL -o <file> "<url>" (for Dropbox: append ?dl=1, or &dl=1 if the URL already has query parameters); for YouTube use yt-dlp -x --audio-format mp3 if available.
  2. Run the analysis — ALWAYS the full pass. Prefer full_ar_report(path, deep=True) for the one-shot: it now returns technical analysis, waveform + full-spectrum spectrogram PNG paths, per-stem analysis (each AI-separated stem analyzed on its own), the isolated-vocal topline, and CLAP. Then go deeper as needed with analyze_track, mood_score, render_visuals, analyze_stems, separate_stems. If Cyanite/Music.ai keys are live and a call is worth a slot, use cyanite_analyze for pro tags (free tier = 5/mo — spend only when it adds real signal).

    ALWAYS do these two things — they're mandatory, not optional:

    • SEE the track. Call render_visuals (or use the PNG paths from full_ar_report) and open the waveform and spectrogram with the Read tool so you actually look at them. Read the spectrogram for real: where does the high end die (top rolls off = no air), is the low end a solid wall (boomy/masking), where are the drops/breakdown, is it brick-walled (over-limited)? Cite what you SEE, not just the numbers.
    • A&R each stem separately. Use analyze_stems (or the per-stem section of full_ar_report) and give each element its own read: the vocal (presence, air, seating, the topline), the drums (kick/transient, top-end snap), the bass (weight, mud, key vs the track), and other/synths (brightness, width). Say which stem is the problem and which is the strength — that's what makes the notes actionable for the producer.

Read the full file on GitHub · 53 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. yesterday Changed · -1 lines fa5421576f84
  2. 12d ago First seen · 54 lines · 21 tokens per session scan A af320e49c5ac

Subscribe to this mod's changes

ar-producer is an agent published in the GitHub repository Lifecycle-Innovations-Limited/claude-ops (189 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 1,705 once invoked, about $0.0001 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.