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 pause-detectorgit 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/pause-detector)<a href="https://agentmods.dev/skills/xuansenpa1/skillrevise/pause-detector"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/pause-detector/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/pause-detector"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/pause-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.00626 |
| Opus 5 | $0.00024 | $0.00313 |
| Sonnet 5 | $0.00010 | $0.00125 |
| Haiku 4.5 | $0.00005 | $0.00063 |
Grade A, and why
pause-detector 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pause Detector
Detects pauses and low-energy segments using local dynamic thresholds on pre-computed energy data. Unlike global threshold methods, this compares energy to surrounding context, avoiding false positives when speaker volume varies.
Use Cases
- Detecting natural pauses in lectures
- Finding board-writing silences
- Identifying breaks between sections
Usage
python3 /root/.claude/skills/pause-detector/scripts/detect_pauses.py \
--energies /path/to/energies.json \
--output /path/to/pauses.json
Parameters
--energies: Path to energy JSON file (from energy-calculator)--output: Path to output JSON file--start-time: Start analyzing from this second (default: 0)--threshold-ratio: Ratio of local average for low energy (default: 0.5)--min-duration: Minimum pause duration in seconds (default: 2)--window-size: Local average window size (default: 30)
Output Format
{
"method": "local_dynamic_threshold",
"segments": [
{"start": 610, "end": 613, "duration": 3},
{"start": 720, "end": 724, "duration": 4}
],
"total_segments": 11,
"total_duration_seconds": 28,
"parameters": {
"threshold_ratio": 0.5,
"window_size": 30,
"min_duration": 2
}
}
How It Works
- Load pre-computed energy data
- Calculate local average using sliding window
- Mark seconds where energy < local_avg × threshold_ratio
- Group consecutive low-energy seconds into segments
- Filter segments by minimum duration
Dependencies
- Python 3.11+
- numpy
- scipy
Example
# Detect pauses after opening (start at 221s)
python3 /root/.claude/skills/pause-detector/scripts/detect_pauses.py \
--energies energies.json \
--start-time 221 \
--output pauses.json
# Result: Found 11 pauses totaling 28 seconds
Parameters Tuning
| Parameter | Lower Value | Higher Value |
|---|---|---|
threshold_ratio |
More aggressive | More conservative |
min_duration |
Shorter pauses | Longer pauses only |
window_size |
Local context | Broader context |
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.
- 9d ago First seen · 91 lines · 48 tokens per session scan A 3d8095f46ef2
pause-detector is a skill published in the GitHub repository xuansenpa1/skillrevise (56 stars, last pushed 7d ago), licensed MIT. It adds 48 tokens to every session and 626 once invoked, about $0.0002 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 2026-09-03.
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