Plugins

6 plugins
@trailofbits
Testing Handbook Skills
Skills from the Trail of Bits Application Security Testing Handbook (appsec.guide)
15 skills · plugin
@owl-listener
Prototyping Testing
Prototyping and testing skills: wireframe specs, usability heuristics, heuristic evaluations, accessibility audits, A/B test design, and benchmark analysis.
8 skills · plugin
@adobe
App Builder
Development, customization, testing, and deployment skills for Adobe App Builder projects
6 skills · plugin
@testdouble
Han Planning
Planning skills for the Han suite: specifying, planning, sequencing, breaking down, and stress-testing work before implementation. Home of plan-a-feature, plan-implementation, plan-a-phased-build, plan-work-items, and iterative-plan-review, plus the discussion-facilitator agent. Depends on han-communication and han-core; bundled by the han meta-plugin.
5 skills · plugin
@trailofbits
Trailmark
Builds multi-language source code graphs for security analysis: call graphs, attack surface mapping, blast radius, taint propagation, complexity hotspots, and entry point enumeration. Generates Mermaid diagrams (call graphs, class hierarchies, dependency maps, heatmaps). Compares code graph snapshots for structural diff and evolution analysis. Runs graph-informed mutation testing triage (genotoxic
10 skills · plugin
@alirezarezvani
Engineering Team
32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security,
16 skills · plugin

Results for “a-b-testing”

10 skills
More results
qhjqhj00
Bbh Eval
Benchmarks zero-shot in-context learning on BIG-Bench Hard multiple-choice tasks, comparing self-generated demonstrations against direct prompting and chain-of-thought baselines, and reports accuracy.
3
nvidia
Nemo Mbridge Mlm Bridge Training
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data, covering correlation testing, available recipes, and multi-GPU examples.
2.2k · bundle
qhjqhj00
Abc Eval
Benchmarks large language models on symbolic music understanding and instruction following using text-based ABC notation, covering syntax parsing, error detection, segment-level reasoning, and sequence-level musical analysis.
3
qhjqhj00
Bbq Eval
Evaluates social bias in question-answering models using the BBQ benchmark, measuring accuracy and a bias score across ambiguous and disambiguated contexts to reveal reliance on stereotypes.
3
orchestra-research
Weights And Biases
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B.
10.4k · bundle
orchestra-research
Evaluating Code Models
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality.
10.4k · bundle
qhjqhj00
Epsilon
Evaluates the correlation between a zero-cost NAS metric (epsilon) and actual training accuracy across different neural architecture search spaces, testing the metric's ability to rank architectures without training. It probes whether output dispersion from constant weight initializations can serve as a reliable.
3