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 hamzabellouch/agent-skills --skill signal-processing-physicsgit clone --depth 1 https://github.com/hamzabellouch/agent-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/hamzabellouch/agent-skills/signal-processing-physics)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/signal-processing-physics"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/signal-processing-physics/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/hamzabellouch/agent-skills/signal-processing-physics"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/signal-processing-physics.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 | $0.00031 | $0.00274 |
| Opus 5.5 | $0.00012 | $0.00110 |
| Sonnet 5.5 | $0.00006 | $0.00055 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
signal-processing-physics 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 7d 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
Signal Processing for Physics
ID: comp.signal_processing
Domain: Mathematics → Applications
Difficulty: 4/5
Prerequisites
- math.fourier_analysis
- math.statistics
Core Concepts
- sampling theorem
- aliasing
- filters
- power spectral density
- windowing
Key Equations
$$ f_s > 2 f_{max} $$ $$ PSD(f) = |\hat x(f)|^2 $$
Methods
- Choose sampling rate
- Apply window functions
- Estimate power spectra
Typical Problem Types
- Analyzing experimental time series
- Lock-in detection
- Gravitational wave data analysis
Common Pitfalls
- Undersampling causing aliasing
- Ignoring spectral leakage
Related Skills
- math.fourier_analysis
- rel.general.gravitational_waves
References
- Oppenheim & Schafer
- Press et al. Numerical Recipes Ch.13
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.
- 7d ago First seen · 57 lines · 31 tokens per session scan A 251b0ba1d655
signal-processing-physics is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 274 once invoked, about $0.0001 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 2026-10-10.
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