MateClaw is a pluggable agent runtime that coordinates AI agents, tools, conversations, memory, and workflows. It is designed for personal and multi-user AI assistants, including agents used through chat platforms. Catalogue add-ons provide skills for extending its agent workflows.
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.
npx skills add mateaix/mateclaw --skill songwriting-and-ai-musicgit clone --depth 1 https://github.com/mateaix/mateclawWrote 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/skills/mateaix/mateclaw/songwriting-and-ai-music)<a href="https://agentmods.dev/skills/mateaix/mateclaw/songwriting-and-ai-music"><img src="https://agentmods.dev/badge/skills/mateaix/mateclaw/songwriting-and-ai-music/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/skills/mateaix/mateclaw/songwriting-and-ai-music"><img src="https://agentmods.dev/badge/skills/mateaix/mateclaw/songwriting-and-ai-music.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 | $0.00017 | $0.02586 |
| Opus 5 | $0.00009 | $0.01293 |
| Sonnet 5 | $0.00003 | $0.00517 |
| Haiku 4.5 | $0.00002 | $0.00259 |
Grade A, and why
songwriting-and-ai-music 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 13d 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.
This is a copy
91% identical to songwriting-and-ai-music — 34 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Songwriting & AI Music Generation
Everything here is a GUIDELINE, not a rule. Art breaks rules on purpose. Use what serves the song. Ignore what doesn't.
1. Song Structure (Pick One or Invent Your Own)
Common skeletons — mix, modify, or throw out as needed:
ABABCB Verse/Chorus/Verse/Chorus/Bridge/Chorus (most pop/rock)
AABA Verse/Verse/Bridge/Verse (refrain-based) (jazz standards, ballads)
ABAB Verse/Chorus alternating (simple, direct)
AAA Verse/Verse/Verse (strophic, no chorus) (folk, storytelling)
The six building blocks:
- Intro — set the mood, pull the listener in
- Verse — the story, the details, the world-building
- Pre-Chorus — optional tension ramp before the payoff
- Chorus — the emotional core, the part people remember
- Bridge — a detour, a shift in perspective or key
- Outro — the farewell, can echo or subvert the rest
You don't need all of these. Some great songs are just one section that evolves. Structure serves the emotion, not the other way around.
2. Rhyme, Meter, and Sound
RHYME TYPES (from tight to loose):
- Perfect: lean/mean
- Family: crate/braid
- Assonance: had/glass (same vowels, different endings)
- Consonance: scene/when (different vowels, similar endings)
- Near/slant: enough to suggest connection without locking it down
Mix them. All perfect rhymes can sound like a nursery rhyme. All slant rhymes can sound lazy. The blend is where it lives.
INTERNAL RHYME: Rhyming within a line, not just at the ends. "We pruned the lies from bleeding trees / Distilled the storm from entropy" — "lies/flies," "trees/entropy" create internal echoes.
METER: The rhythm of stressed vs unstressed syllables.
- Matching syllable counts between parallel lines helps singability
- The STRESSED syllables matter more than total count
- Say it out loud. If you stumble, the meter needs work.
- Intentionally breaking meter can create emphasis or surprise
3. Emotional Arc and Dynamics
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.
- 13d ago First seen · 279 lines · 17 tokens per session scan A fa122f9bf1d0
songwriting-and-ai-music is a skill published in the GitHub repository mateaix/mateclaw (1,097 stars, last pushed yesterday), licensed Apache-2.0. It adds 17 tokens to every session and 2,586 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to songwriting-and-ai-music, differing in 34 lines, and is treated as a copy.
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