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Testing & QA
Unit tests, integration tests, E2E, QA, validation, and test automation
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- Ceramics EngineerExpert-thinking profile for Ceramics Engineer (processing / sintering / microstructure / electroceramics / mechanical reliability (Weibull, ASTM C-series)): Reasons from crystal chemistry, defect equilibria, sintering densification, and flaw statistics through XRD/Rietveld, dilatometry, SEM fractography, impedance spectroscopy, and Weibull analysis per ASTM C1161/C1239/C1421 while treating surface grinding flaws, Pb/alkali volatilization, closed-pore traps, and...Votes: 0GitHub stars: 8
- Cavekit Validation FirstValidation-first design for Cavekit — every kit requirement must be automatically verifiable. Six-gate validation pipeline, phase gates, merge protocol, completion signals, acceptance criteria patterns. Use when designing acceptance criteria, wiring CI gates, or debugging why an agent is producing output that nobody can verify.Votes: 0GitHub stars: 8
- Cavekit RevisionTrace bugs and manual fixes back to kits and prompts; fix at the source so the iteration loop can reproduce the fix autonomously. Six-step revision process plus the single-failure backpropagation protocol. Use when a manual hot-fix has been applied, when convergence stalls, or when the same class of bug keeps reappearing.Votes: 0GitHub stars: 8
- Bridge EngineerExpert-thinking profile for Bridge Engineer (structural design / load rating / inspection-NDE / codes (AASHTO LRFD, AREMA) / fatigue-fracture): Reasons from load paths, limit states, redundancy, and durability through AASHTO LRFD rating (LRFR/inventory vs. operating), FEM grillage and OpenSees models, HEC-18 scour analysis, and NDE such as half-cell potential and phased-array UT while treating fracture-critical fatigue details, lost composite action, scour...Votes: 0GitHub stars: 8
- Bioprocess EngineerExpert-thinking profile for Bioprocess Engineer (wet-lab / integrated biologics USP–DSP, scale-up & GMP validation): Reasons from QTPP–CPP–CQA QbD, CHO fed- batch/perfusion scale-up (P/V, kLa, mixing), platform mAb DSP (Protein A, low-pH viral hold, IEX polish, UF/DF), tech transfer and PPQ lifecycle; treats transport-limited scale-up, harvest fouling, on-column aggregation, SUB leachables, and arbitrary three- batch PPQ as...Votes: 0GitHub stars: 8
- AtherisSets up and runs Atheris, the coverage-guided Python fuzzer built on libFuzzer. Covers TestOneInput harnesses, FuzzedDataProvider, instrumenting both pure Python and native C extensions, and running under AddressSanitizer. Use when fuzzing a Python package, hunting memory corruption in a Python C extension, or choosing between Atheris and Hypothesis for a Python target.Votes: 0GitHub stars: 8
- Astronautical EngineerExpert-thinking profile for Astronautical Engineer (spacecraft / launch vehicle / mission systems engineering): Reasons from the rocket equation, staging, and mass–power–Δv budgets through NPR 7120.5/ECSS-E-ST-10 subsystem specs, CEA/CEARUN and Sutton propulsion, CLA/pogo and TVAC I&T, GMAT/STK/SPICE mission design, CCSDS TM/TC link margins, and ADCS FDIR while treating unit/frame ICD mismatches, combustion instability, and...Votes: 0GitHub stars: 8
- Assertion QualityAnalyzes the variety and depth of assertions across test suites in any language. Use when the user asks to evaluate assertion quality, find shallow tests, identify assertion-free tests (no assertions or only trivial ones like Assert.IsNotNull / toBeTruthy()), flag self-referential or tautological assertions, measure assertion diversity, or audit whether tests verify different facets of behavior. Polyglot: .NET, Python, TS/JS, Java, Go, Ruby, Rust, Swift, Kotlin, PowerShell, C++. DO NOT USE FO...Votes: 0GitHub stars: 8
- Animal Geneticist BreederExpert-thinking profile for Animal Geneticist & Breeder (quantitative genetics / BLUP- REML / genomic selection / crossbreeding systems / mate allocation): Reasons from additive genetic variance, response to selection (R = i h sigma_A), accuracy, and inbreeding depression through REML/BLUP and ssGBLUP pipelines (BLUPF90, ASReml, WOMBAT), economic selection indices, optimum-contribution mate allocation, and Interbull MACE while treating confounded contemporary groups...Votes: 0GitHub stars: 8
- Alerting IrmConfigure Grafana Alerting, Incident Response Management (IRM), and SLOs end-to-end — provisions Grafana-managed and data-source-managed alert rules, contact points (Slack/PagerDuty/email/webhook), notification policies with hierarchical matchers, silences, mute timings, on-call schedules and escalation chains, incident-management integrations, and SLOs with multi-window burn-rate alerts. Use when configuring alerts, debugging notification routing, setting up on-call rotations, declaring or m...Votes: 0GitHub stars: 8
- Adding Dbt Unit TestCreates unit test YAML definitions that mock upstream model inputs and validate expected outputs. Use when adding unit tests for a dbt model or practicing test-driven development (TDD) in dbt.Votes: 0GitHub stars: 8
- Unknown Class Residual ProbabilityEstimate out-of-distribution class probability as the product of (1 - p_i) across all known classes, scaled by a calibrated priorVotes: 0GitHub stars: 61
- Tweedie Objective Zero InflatedUse LightGBM's tweedie objective with variance_power between 1.05 and 1.2 for zero-inflated count forecasting (retail SKUs, intermittent demand, click events) — handles the "many zeros plus a heavy right tail" distribution that breaks both regression (RMSE) and classification (BCE) objectivesVotes: 0GitHub stars: 61
- Quantile Ratio ScalingConvert point forecasts to prediction intervals by scaling with logit-transformed quantile ratios passed through a Normal CDFVotes: 0GitHub stars: 61
- Poisson Lgbm Bias Corrected EnsembleTrain a single Poisson LightGBM count forecaster, then ensemble its predictions with multiple multiplicative scaling factors (alpha ≈ 1.02-1.03) to undo the systematic downward bias of Poisson regression on intermittent retail dataVotes: 0GitHub stars: 61
- Row Wise Target NormalizationNormalizes each sample's multi-output target vector to zero mean and unit variance, removing per-sample scale differences before training.Votes: 0GitHub stars: 61
- Regression To Ordinal ThresholdingConverts regression predictions to ordinal classes by optimizing bin thresholds to maximize Quadratic Weighted Kappa.Votes: 0GitHub stars: 61
- Regression To Cdf SmoothingConvert a scalar regression prediction into a smoothed CDF over discrete bins using a linear ramp instead of a hard stepVotes: 0GitHub stars: 61
- Rank Calibrated BlendingBlends predictions from multiple models by converting to ranks, weighting, and calibrating back to probabilities via rank-group means from a reference model. Ensures monotonic calibrated output.Votes: 0GitHub stars: 61
- Per Target Nan Mask TrainingTrains independent models per target by masking NaN labels, enabling multi-output regression on datasets where each target has different coverage.Votes: 0GitHub stars: 61
- Per Fold Threshold Voting EnsembleBinarizes each CV fold's predictions using its own optimized threshold, then majority-votes across folds instead of averaging raw probabilities.Votes: 0GitHub stars: 61
- Per Feature Bias CorrectionPost-processing correction for multi-output regression — scale each output by its train-derived mean ratio to fix systematic per-feature biasVotes: 0GitHub stars: 61
- Outlier Rate Label EncodingEncode a categorical column by replacing each category with the per-category outlier rate (mean of a binary outlier flag), out-of-fold to avoid leakage — a target-aware encoding tuned to long-tail / sentinel-target problems where a binary classifier signal is more useful than the raw regression meanVotes: 0GitHub stars: 61
- Outlier Aware Two Stage BlendingWhen a regression target has a long discrete tail (e.g. ~1% of rows pinned at -33.22 in Elo), train one regressor on the *non-outlier* subset, a separate binary classifier for the outlier flag, and splice the predictions — replace the top-K most-confident outlier predictions in the regressor's output with the outlier value, where K is calibrated on validationVotes: 0GitHub stars: 61