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 agentmods add skills/brownfinesecurity/iothackbot/logicmsonpx skills add BrownFineSecurity/iothackbot --skill logicmsogit clone --depth 1 https://github.com/BrownFineSecurity/iothackbotWrote 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/brownfinesecurity/iothackbot/logicmso)<a href="https://agentmods.dev/skills/brownfinesecurity/iothackbot/logicmso"><img src="https://agentmods.dev/badge/skills/brownfinesecurity/iothackbot/logicmso.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.02215 |
| Opus 5 | $0.00026 | $0.01107 |
| Sonnet 5 | $0.00010 | $0.00443 |
| Haiku 4.5 | $0.00005 | $0.00221 |
Grade A, and why
logicmso 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 5d 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 — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Saleae Logic MSO Analysis
This skill enables analysis of captured signals from Saleae Logic MSO devices using the saleae-mso-api Python library. It supports loading binary exports, analyzing signal transitions, and decoding common protocols.
Prerequisites
saleae-mso-apiPython package — Do NOT blindly pip install. First check if it's already installed:
Only if that fails, install it:python3 -c "from saleae.mso_api.binary_files import read_file; print('saleae-mso-api is available')"pip install saleae-mso-api- Binary export files from Saleae Logic software (
.binformat)
Quick Reference
Loading Binary Files
from saleae.mso_api.binary_files import read_file
from pathlib import Path
file_path = Path("capture.bin")
saleae_file = read_file(file_path)
# Access metadata
print(f"Version: {saleae_file.version}")
print(f"Type: {saleae_file.type}")
# Access data
contents = saleae_file.contents
Digital Capture Structure
Digital exports contain DigitalExport_V1 with chunks:
chunk = saleae_file.contents.chunks[0]
# Key attributes:
chunk.initial_state # Starting logic level (0 or 1)
chunk.transition_times # numpy array of transition timestamps (seconds)
chunk.sample_rate # Capture rate in Hz
chunk.begin_time # Capture start time
chunk.end_time # Capture end time
Calculating Pulse Durations
import numpy as np
times = np.array(chunk.transition_times)
durations_ms = np.diff(times) * 1000 # Convert to milliseconds
# If initial_state is 0 (LOW):
# - Even indices (0, 2, 4...) = HIGH pulse durations
# - Odd indices (1, 3, 5...) = LOW gap durations
# If initial_state is 1 (HIGH):
# - Even indices = LOW gap durations
# - Odd indices = HIGH pulse durations
Helper Scripts
This skill includes helper scripts for common analysis tasks:
Protocol Analyzer
# Analyze signal characteristics
python3 skills/logicmso/analyze_protocol.py capture.bin
# Show detailed timing histogram
python3 skills/logicmso/analyze_protocol.py capture.bin --histogram
# Show detected timing clusters
python3 skills/logicmso/analyze_protocol.py capture.bin --clusters
# Export transitions to CSV
python3 skills/logicmso/analyze_protocol.py capture.bin --export transitions.csv
# Show raw transition values
python3 skills/logicmso/analyze_protocol.py capture.bin --raw -n 50
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.
- 5d ago First seen · 251 lines · 51 tokens per session scan A 085348a54f65
logicmso is a skill published in the GitHub repository BrownFineSecurity/iothackbot (825 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 2,215 once invoked, about $0.0003 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 2026-08-30.
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