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 PerIPan/music-workflow-skills --skill bass-transcribegit clone --depth 1 https://github.com/PerIPan/music-workflow-skillsWrote 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/peripan/music-workflow-skills/bass-transcribe)<a href="https://agentmods.dev/skills/peripan/music-workflow-skills/bass-transcribe"><img src="https://agentmods.dev/badge/skills/peripan/music-workflow-skills/bass-transcribe/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/peripan/music-workflow-skills/bass-transcribe"><img src="https://agentmods.dev/badge/skills/peripan/music-workflow-skills/bass-transcribe.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 | $0.00042 | $0.02230 |
| Opus 5.5 | $0.00017 | $0.00892 |
| Sonnet 5.5 | $0.00008 | $0.00446 |
| Haiku 4.5 | $0.00004 | $0.00223 |
Grade A, and why
bass-transcribe 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 1mo 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bass Transcribe — played take → MIDI / Live clip / chart
Default for bass is the offline pyin pipeline. For vocals and expressive leads (sax,
synth lead) switch to CREPE (§2b). For in-Live plugin options (NeuralNote, Jam Origin)
read references/realtime-options.md.
Why pyin, not CREPE, for bass: in a side-by-side A/B in Live on a separated bass stem, the CREPE line was rejected by ear ("CREPE is not for bass") — it over-segments a slow-moving line into spurious adjacent notes. Published evidence agrees: pYIN beats CREPE on bass lines because CREPE's training set has almost no sub-bass examples (Araz, ISMIR 2021 LBD), and no public pitch benchmark covers the bass register. pyin is also ~30× faster. On vocals the same A/B went the other way — CREPE caught quiet, legato notes pyin dropped.
1. Get the audio
- User points at a file — wav/mp3/aiff of the take. Mono preferred; DI cleaner than mic.
- Record in Live — audio track, arm, record the take. MCP cannot export audio:
the user does File → Export, or point at the raw recording under the Set's
Samples/Recorded/folder. - Ask for (or detect) the take's BPM if the output will go into a Live clip.
2. Default pipeline — pyin → MIDI
import librosa, numpy as np, pretty_midi
y, sr = librosa.load(AUDIO, sr=22050, mono=True)
HOP = 256 # 11.6 ms
f0, voiced, vprob = librosa.pyin(y, sr=sr, fmin=40.0, fmax=220.0, # E1 … A3
frame_length=4096, hop_length=HOP)
t = librosa.times_like(f0, sr=sr, hop_length=HOP)
rms = librosa.feature.rms(y=y, frame_length=4096, hop_length=HOP)[0]
rms = rms / (rms.max() + 1e-9)
VPROB, MIN_LEN, GAP = 0.55, 0.10, 0.05 # voicing gate, min note s, bridgeable dropout s
pitch = np.where(voiced & (vprob >= VPROB),
np.round(librosa.hz_to_midi(np.nan_to_num(f0, nan=40.0))), -1).astype(int)
notes, cur = [], None
for i, (ti, p) in enumerate(zip(t, pitch)):
if cur and p == cur['p']:
cur['end'], cur['i1'] = ti, i # same pitch: extend
continue
if cur and p < 0 and ti - cur['end'] <= GAP:
continue # short dropout: bridge it
if cur and cur['end'] - cur['start'] >= MIN_LEN:
notes.append(cur) # pitch change / long gap: close
cur = {'p': p, 'start': ti, 'end': ti, 'i0': i, 'i1': i} if p >= 0 else None
if cur and cur['end'] - cur['start'] >= MIN_LEN:
notes.append(cur)
pm = pretty_midi.PrettyMIDI()
inst = pretty_midi.Instrument(program=33) # Electric Bass (finger)
for n in notes:
vel = int(np.clip(50 + 70 * rms[n['i0']:n['i1'] + 1].mean(), 35, 120))
inst.notes.append(pretty_midi.Note(velocity=vel, pitch=n['p'],
start=n['start'], end=n['end']))
pm.instruments.append(inst)
pm.write(OUT_MID)
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.
- 1mo ago Changed · +59 lines · -39 tokens per session 97095ddd1074
- 2mo ago First seen · 91 lines · 81 tokens per session scan A 62a3418bc870
bass-transcribe is a skill published in the GitHub repository PerIPan/music-workflow-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 2,230 once invoked, about $0.0002 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 2026-08-31.
bass-transcribe compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| bass-transcribePerIPan/music-workflow-skills | Skill | 3 | 1mo ago | MIT | A | 42 | Claude Code, Codex |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| webhook-managementhoangsonww/Claude-Code-Agent-Monitor | Skill | 1.1k | yesterday | MIT | A | 56 | Claude Code, Codex |
| gesellschaftsrechtliche-satzungen-agbKlotzkette/claude-fuer-deutsches-recht | Skill | 1.8k | yesterday | Apache-2.0 | A | 69 | Claude Code |
| accessibility-patternsvibeeval/vibecosystem | Skill | 539 | 2d ago | MIT | A | 24 | Claude Code, Codex |
| design-reviewjezweb/claude-skills | Skill | 1.1k | 28d ago | MIT | A | 108 | Claude Code |
| react-patternsjezweb/claude-skills | Skill | 1.1k | 28d ago | MIT | A | 110 | Claude Code |