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 martin-gomola/spotify-mcp --skill spotify-library-doctorgit clone --depth 1 https://github.com/martin-gomola/spotify-mcpWrote 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/martin-gomola/spotify-mcp/spotify-library-doctor)<a href="https://agentmods.dev/skills/martin-gomola/spotify-mcp/spotify-library-doctor"><img src="https://agentmods.dev/badge/skills/martin-gomola/spotify-mcp/spotify-library-doctor/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/martin-gomola/spotify-mcp/spotify-library-doctor"><img src="https://agentmods.dev/badge/skills/martin-gomola/spotify-mcp/spotify-library-doctor.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 | $0.00053 | $0.00258 |
| Opus 5 | $0.00026 | $0.00129 |
| Sonnet 5 | $0.00011 | $0.00052 |
| Haiku 4.5 | $0.00005 | $0.00026 |
Grade A, and why
spotify-library-doctor 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 11d 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
Spotify library doctor
Audit first. A vague cleanup request authorizes a preview, not deletion.
- Page through every saved track with
spotify_saved_tracks, preserving position, saved date, duration, and exact URI. Restart once if the library changes during the scan. - Separate exact URI repeats, likely alternate recordings, clearly distinct versions, unavailable entries, and no-action observations. Absence from recent or top listening is not a removal reason.
- Give candidates stable labels and show the proposed keep/remove pair, evidence, and uncertainty.
- Apply only labels or exact URIs the user explicitly approved. Re-read candidate pages immediately
before calling
spotify_library_removewith full exact track URIs; abort if identity or ordering changed. - Re-scan after removal. Prove approved URIs are absent, keep URIs remain, and the count changed as expected. The server has no automatic undo for Liked Songs removal.
What ships with it
3 files 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.
- 11d ago First seen · 20 lines · 53 tokens per session scan A de3282292c32
spotify-library-doctor is a skill published in the GitHub repository martin-gomola/spotify-mcp (0 stars, last pushed 3d ago), licensed MIT. It adds 53 tokens to every session and 258 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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