dj

dj is a skill for Claude Code, Codex from Lingtai-AI/lingtai. It costs 123 tokens per session (2,043 once invoked), scanned A, original, Apache-2.0.

A workflow for composing one music track based on a project journal entry, using an available media provider and a chosen genre.

In plain words
What is it for?
Use it to read a project journal, choose a fitting genre, and generate a track on request.
Why use it?
It connects the day's recorded work with a tailored musical result without requiring a separate music setup.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to read a project journal, choose a fitting genre, and generate a track on request.

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Install with agentmods
npx agentmods add skills/lingtai-ai/lingtai/dj
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.

Any agent
npx skills add Lingtai-AI/lingtai --skill dj
Clone the repo
git clone --depth 1 https://github.com/Lingtai-AI/lingtai

Made for: Claude Code, Codex.

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 dj

README.md
[![agentmods](https://agentmods.dev/badge/skills/lingtai-ai/lingtai/dj/github.svg)](https://agentmods.dev/skills/lingtai-ai/lingtai/dj)
Your own site
<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/dj"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/dj/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 dj

Your own site · 80×15
<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/dj"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/dj.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,043 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 51
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Rogue Agent · line 84
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 $0.00123 $0.02043
Opus 5 $0.00062 $0.01022
Sonnet 5 $0.00025 $0.00409
Haiku 4.5 $0.00012 $0.00204

Measured 6d ago against content hash 4dcd1e4066b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

dj 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 6d 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.

5. **Call the provider.** Use the provider skill's current mechanism (for MiniMax, normally `mmx music ...` via `minimax-cli`; for other providers, whatever their skill documents). If the response is a URL, `curl -o` it
tui/internal/preset/skills/swiss-knife/reference/dj/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DJ — On-demand journal-track composer

A nested swiss-knife reference for composing one music track per project journal entry. Use this when the user asks for music tied to what they've been working on — "make a track for today's journal", "give me a bossa nova for last week", "the journal mentioned X — try a piece in style Y".

This skill assumes you already have file/bash/skills capabilities. It does not install or configure any media provider — it discovers what is available in your skills catalog and composes via whichever skill matches the user's saved presets.

When to load this skill

  • User asks for music tied to a specific project, journal date, or session.
  • User asks what genre would fit the project's mood.
  • User asks why a previous track sounded the way it did, or wants another take on the same journal entry.

If the request is ambiguous (which journal? which genre? which project?), ask first. Don't guess and burn a generation call.

Preflight — find a usable provider

Before composing, you need to know what providers you can actually reach. Run this the first time the user asks for music in a session, and re-run when the request would use a media path you haven't tried this session.

Step A — enumerate available media-creation skills. Look in your skills catalog for skills tagged media-creation. If your catalog only shows name + description, the description still mentions "media-creation" for tagged skills — grep that.

If you want the canonical list, walk the configured skills paths shown by the skills catalog:

for path in <skills paths from skills(action="info")>; do
  for skill in "$path"/*/SKILL.md; do
    [ -f "$skill" ] || continue
    grep -l -E '(^|, )media-creation(,|]| )' "$skill" 2>/dev/null
  done
done

For each one, the skill itself is the source of truth on what providers it talks to and what env-var key it expects. For MiniMax specifically, load the sibling Swiss Knife minimax-cli reference (../minimax-cli/SKILL.md); it is the canonical provider reference and explains how to scan TUI presets recursively, pick the declared MiniMax slot, export it without printing the key, and match the region.

Read the full file on GitHub · 104 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. 6d ago First seen · 104 lines · 123 tokens per session scan A 4dcd1e4066b8

Subscribe to this mod's changes

dj is a skill published in the GitHub repository Lingtai-AI/lingtai (670 stars, last pushed yesterday), licensed Apache-2.0. It adds 123 tokens to every session and 2,043 once invoked, about $0.0006 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 2026-09-03.

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