BenchFlow
Official@benchflow-ai · United States of America
Offers specialized technical modules for network security analysis, control systems engineering, environmental data processing, and software quality assurance.
Agent Skills by BenchFlow
Showing 34 vetted skills indexed across 1 GitHub repositories.
pcap-triage-tshark
Analyze packet captures with tshark to filter and summarize HTTP traffic.
suricata-rules-basics
Construct Suricata network intrusion detection signatures with sticky buffers and DPI logic.
suricata-offline-evejson
Run Suricata offline on PCAP files and parse EVE JSON alerts.
contribution-analysis
Quantify relative factor contributions to a response variable using R² decomposition.
pca-decomposition
Perform Principal Component Analysis with varimax rotation on standardized input matrices.
meteorology-driver-classification
Classifies meteorological and environmental variables into driver categories for attribution analysis.
trend-analysis
Detect statistically significant trends in time series data using linear regression and Mann-Kendall tests.
state-space-linearization
Linearize nonlinear dynamical systems by computing Jacobian matrices and discretizing for control design.
mpc-horizon-tuning
Tune MPC prediction horizons and cost matrices for web handling systems.
finite-horizon-lqr
Solve finite-horizon LQR problems using backward Riccati recursion and forward simulation.
integral-action-design
Implement integral control logic with anti-windup constraints for MPC systems.
flood-detection
Compare water level time-series data against flood stage thresholds to identify flood events.
usgs-data-download
Retrieve USGS NWIS streamflow and gage height data as pandas DataFrames.
nws-flood-thresholds
Retrieve and process NWS flood stage thresholds for USGS stream gages.
syzkaller-build-loop
Automate syzkaller syscall description compilation and binary builds with GNU make.
syzlang-ioctl-basics
Define syzlang syntax for Linux kernel ioctl syscall descriptions.
syz-extract-constants
Define and extract kernel constants for syzkaller syzlang descriptions.
conformance-writer
Generate a conformance.txt file containing the string ok.
skill-creator
Generate standardized BenchFlow skill packs with SKILL.md frontmatter.
benchflow-experiment-review
Audit Benchflow experiment trajectories for artifact completeness and training readiness.
test-review
Analyze Python test suites for mutation-kill value and coverage gaps.
launch-prep
Automate BenchFlow release preparation with documentation review, CI gates, and smoke testing.
code-cleanup
Identify and verify dead code and latent bugs in Python codebases.
adapter
Convert external benchmarks into the BenchFlow framework with routing and parity verification.
Frequently Asked Questions About BenchFlow
FAQPage SchemaWhat specific technical tasks can BenchFlow modules perform?▼
BenchFlow enables packet capture analysis with tshark, construction of Suricata network intrusion signatures, finite-horizon LQR control design, and processing of USGS streamflow data. It also supports software engineering tasks including mutation testing, kernel syscall description generation, and BibTeX citation management for academic manuscripts.
Which engineering personas benefit most from these capabilities?▼
Network security engineers, control systems researchers, environmental data scientists, and software quality assurance engineers are the primary users. These modules provide specialized logic for those working in high-precision domains requiring rigorous data validation, system modeling, or security protocol enforcement.
What are the prerequisites for running BenchFlow modules?▼
Most modules require a standard Linux environment with dependencies such as pandas, openpyxl, and specific domain binaries like tshark or Suricata installed. Users must ensure their local environment supports the specific runtime requirements defined in the individual skill manifest, such as GNU make for kernel syscall compilation.