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 P47Phoenix/Claude-Plugins --skill music-memorygit clone --depth 1 https://github.com/P47Phoenix/Claude-PluginsWrote 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/p47phoenix/claude-plugins/music-memory)<a href="https://agentmods.dev/skills/p47phoenix/claude-plugins/music-memory"><img src="https://agentmods.dev/badge/skills/p47phoenix/claude-plugins/music-memory/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/p47phoenix/claude-plugins/music-memory"><img src="https://agentmods.dev/badge/skills/p47phoenix/claude-plugins/music-memory.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 | $0.00090 | $0.01180 |
| Opus 5.5 | $0.00036 | $0.00472 |
| Sonnet 5.5 | $0.00018 | $0.00236 |
| Haiku 4.5 | $0.00009 | $0.00118 |
Grade A, and why
music-memory 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Music memory
Runs inline via the Skill tool (dispatch: skill), not as an Agent dispatch.
Stage 7d. Inline skill (no sub-agent). It turns one finished run into a process record and a few reusable lessons.
It writes process observations only, never lyric text (originality policy, "How it is enforced" item 5): no
line, no phrase of more than three words from any lyric, no artist or song name. Grammar and examples are in
references/contracts/retrospective-output.md.
Phase 1: Gather
- Resolve
.song/activeto.song/<slug>/. Standalone with no active run, ask for the directory; with nostate.json, write a short retrospective from what the user says and omitrun_id-dependent lines. - Read
state.json(run_id,song_type,loops_used,gates,gate_overrides,accepted_best),decisions.md, and everycritiques/*.mdfront-matter and Fixes table. - Read
brief.mdfront-matter forgenre. Readmemory.pathfrom.song/config.yml(default.song/memory/); stop withmemory disabledwhenmemory.enabled: false, but still writeretrospective.md.
Phase 2: Write retrospective.md
Write .song/<slug>/retrospective.md per the contract. Front-matter run_id MUST equal state.json.run_id: the Stop
hook compares them. Body sections: ## Loops, ## Most-failed gate, ## Recurring critique, ## Overrides,
## Next time. Describe recurring critiques by rubric criterion and gate metric ("stress alignment, Verse 2"), never
by quoting words from the song.
Phase 3: Append lessons
Distil at most three lessons, each reusable on a different song. Write each as one line in
<memory.path>/index.md:
stage-or-role | genre | lesson
| Field | Rule |
|---|---|
stage-or-role |
A stage key (concept, lyrics, music, arrangement, release) or a role (verse-writer, harmony, challenger, ...) |
genre |
The genre label, or * when the lesson holds for every genre |
lesson |
One imperative sentence, 160 characters or fewer, technical language only |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 92 lines · 90 tokens per session scan A 2ffb02da542a
music-memory is a skill published in the GitHub repository P47Phoenix/Claude-Plugins (2 stars, last pushed 2d ago), licensed MIT. It adds 90 tokens to every session and 1,180 once invoked, about $0.0004 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 2026-10-26.
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