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 kunitoki/sonic-skills --skill dsp-algorithm-guidegit clone --depth 1 https://github.com/kunitoki/sonic-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/kunitoki/sonic-skills/dsp-algorithm-guide)<a href="https://agentmods.dev/skills/kunitoki/sonic-skills/dsp-algorithm-guide"><img src="https://agentmods.dev/badge/skills/kunitoki/sonic-skills/dsp-algorithm-guide/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/kunitoki/sonic-skills/dsp-algorithm-guide"><img src="https://agentmods.dev/badge/skills/kunitoki/sonic-skills/dsp-algorithm-guide.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 | $0.00102 | $0.00853 |
| Opus 5.5 | $0.00041 | $0.00341 |
| Sonnet 5.5 | $0.00020 | $0.00171 |
| Haiku 4.5 | $0.00010 | $0.00085 |
Grade A, and why
dsp-algorithm-guide 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DSP Algorithm Guide
Three steps: pick the right algorithm family, address implementation concerns, then verify correctness.
Step 1 — Identify the algorithm family
| User request | Algorithm family | Recommended starting point |
|---|---|---|
| Lowpass / highpass / bandpass / notch | Biquad (IIR) | Direct Form II transposed |
| High-quality parametric EQ, resonant filter | Biquad cascade or SVF | State Variable Filter (SVF) |
| Shelving / high-shelf / low-shelf | Biquad (Audio EQ Cookbook) | Peaking EQ or shelf coefficients |
| Reverb (algorithmic) | FDN or Schroeder/Moorer | Feedback Delay Network (FDN) |
| Reverb (convolution / IR) | OLA / OLS | Overlap-Add with FFT |
| Compressor / limiter / expander / gate | Level detector + gain computer | RMS or peak detector + knee curve |
| Pitch shift / time stretch | Phase vocoder or granular | Phase vocoder for tonal material |
| Anti-aliased oscillator | BLIT / PolyBLEP / wavetable | PolyBLEP for simple waveforms |
| Spectral processing / analysis | STFT pipeline | Overlap-Add / Overlap-Save |
| Waveshaper / saturation | Memoryless nonlinearity | Soft-clip with oversampling |
Step 2 — Implementation concerns
Work through this checklist before writing any DSP code:
- Stability — confirm the algorithm's stability condition and check it after every coefficient update (e.g., biquad poles inside unit circle).
- Coefficient precision — use
doublefor coefficient computation; cast tofloatfor the inner loop only if profiling demands it. - Denormal protection — use
ScopedNoDenormals/FTZ where available, or add explicit state clamps/noise around feedback paths. - Latency reporting — if the algorithm introduces latency (e.g., FFT block size), call
setLatencySamples()so the host can compensate. - Initialisation — clear all delay-line and state memory in
prepareToPlay; never assume zero-init across transport loops. - Parameter smoothing — ramp filter coefficients or gain values over a block; abrupt changes cause clicks and, for IIR filters, instability.
- Oversampling — nonlinear stages (waveshapers, saturators) need at least 2x oversampling to suppress alias products.
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 First seen · 52 lines · 102 tokens per session scan A a1d84107cdca
dsp-algorithm-guide is a skill published in the GitHub repository kunitoki/sonic-skills (22 stars, last pushed 4mo ago), licensed Unlicense. It adds 102 tokens to every session and 853 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 2026-08-30.
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