| Skill | Added | Review |
|---|---|---|
algorithmic-art bundled/skills/algorithmic-art/SKILL.md Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations. | 55 55 1.80x Agent success vs baseline Impact 54% 1.80xAverage score across 10 eval scenarios Securityby Low Low-risk findings worth noting Reviewed: Version: d5ae560 | |
aeon bundled/skills/aeon/SKILL.md This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs. | 72 72 Impact — No eval scenarios have been run Securityby Passed No findings from the security scan Version: d5ae560 | |
adaptyv bundled/skills/adaptyv/SKILL.md Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation. | 64 64 Impact — No eval scenarios have been run Securityby Passed No findings from the security scan Version: d5ae560 | |
LQF_Machine_Learning_Expert_Guide bundled/skills/LQF_Machine_Learning_Expert_Guide/SKILL.md LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, prediction, training, classification, regression, clustering, deep learning, neural network, model evaluation, feature engineering, hyperparameter tuning, overfitting, underfitting, baseline, ablation study, critique my approach, review my model, is this a good idea, should I use, what's wrong with, evaluate my solution, challenge my assumptions, discuss my approach Engages in critical discussion with minimum 3 rounds of iterative refinement. Challenges both user proposals and own suggestions with fact-based critique. Demands evidence and baselines before accepting solutions. | — | |
skill-installer bundled/skills/.system/skill-installer/SKILL.md Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). | 71 71 Impact — No eval scenarios have been run Securityby Medium Suggest reviewing before use Version: d5ae560 | |
skill-creator bundled/skills/.system/skill-creator/SKILL.md Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. | 58 58 Impact — No eval scenarios have been run Securityby Passed No findings from the security scan Version: d5ae560 | |
vibe SKILL.md Vibe Code Orchestrator (VCO) is a governed runtime entry that freezes requirements, bounds execution, and enforces verification and phase cleanup. | 52 52 Impact — No eval scenarios have been run Securityby — The risk profile of this skill Version: d5ae560 |