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 xuansenpa1/skillrevise --skill vital-sign-extractiongit clone --depth 1 https://github.com/xuansenpa1/skillreviseWrote 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/xuansenpa1/skillrevise/vital-sign-extraction)<a href="https://agentmods.dev/skills/xuansenpa1/skillrevise/vital-sign-extraction"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/vital-sign-extraction/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/xuansenpa1/skillrevise/vital-sign-extraction"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/vital-sign-extraction.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 | $0.00128 | $0.01077 |
| Opus 5 | $0.00064 | $0.00539 |
| Sonnet 5 | $0.00026 | $0.00215 |
| Haiku 4.5 | $0.00013 | $0.00108 |
Grade A, and why
vital-sign-extraction 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 9d 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.
This is a copy
100% identical to vital-sign-extraction — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vital-Sign Extraction
Given a cleaned 1-D periodic signal (radar phase, WiFi CSI, PPG, piezo), estimate heart rate and breathing rate in bpm.
Upstream ingestion of radar captures is the radar-signal-processing skill. This skill picks up after a 1-D signal is extracted.
Pipeline (do every step)
- Split into BR and HR bands with two separate bandpasses:
- BR:
butter(4, [0.08, 0.5], btype='band', fs=fs)— 4.8–30 bpm - HR:
butter(4, [0.7, 3.0], btype='band', fs=fs)— 42–180 bpm
- BR:
- Peak frequency via zero-padded Welch PSD:
nperseg = min(len(x), int(fs * 25)) f, p = welch(x, fs=fs, nperseg=nperseg, noverlap=nperseg//2, nfft=8*nperseg, detrend='constant') in_band = (f >= lo) & (f <= hi) peak_hz = f[in_band][np.argmax(p[in_band])] - HR harmonic rejection — always run:
f_sub = f_peak / 2.0 if 0.7 <= f_sub <= 3.0: p_sub = np.interp(f_sub, f, p) p_top = np.interp(f_peak, f, p) if p_sub > 0.5 * p_top: f_peak = f_sub # the peak was the 2nd harmonic hr_bpm = f_peak * 60 - Cross-check with autocorrelation:
Ifac = np.correlate(x - x.mean(), x - x.mean(), mode='full') ac = ac[len(ac)//2:] / ac[len(ac)//2] lag = int(fs/f_hi) + np.argmax(ac[int(fs/f_hi):int(fs/f_lo)]) bpm_ac = 60 * fs / lagabs(bpm_ac - bpm_psd) > 5, flag as low confidence.
Decision rules
| If | Then |
|---|---|
f_peak/2 in HR band and p_sub > 0.5 × p_top |
Pick sub-harmonic (fundamental) |
| PSD and autocorrelation disagree by > 5 bpm | Flag low confidence; do not commit to one value |
| BR estimate < 10 bpm (slow breather) | Expect HR-band contamination — see references/harmonic-pitfalls.md |
| HR > 150 bpm (tachycardia) | Widen HR band upper to 3.3 Hz, re-estimate |
| Clip < 15 s long | PSD bin spacing > tolerance — prefer autocorrelation or flag inconclusive |
Sanity checks before reporting
What ships with it
2 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.
- 9d ago First seen · 73 lines · 128 tokens per session scan A aff09b876c5c
vital-sign-extraction is a skill published in the GitHub repository xuansenpa1/skillrevise (56 stars, last pushed 7d ago), licensed MIT. It adds 128 tokens to every session and 1,077 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to vital-sign-extraction, differing in 0 lines, and is treated as a copy.
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