Skill UI

AKF is an AI-native file format that embeds trust scores, source provenance, and compliance metadata into various file types like DOCX, PDF, and code. It supports auditing for regulations such as the EU AI Act, SOX, and HIPAA, ensuring transparency and accountability in AI-generated content workflows.

Selects and runs the best Apify Actor for multi-platform web data extraction, checking schema, pricing, provenance, and limits before execution.

Capture and retrieve durable artifact records with provenance and retention. Supports profiles like stdout, report, and receipt using immutable evidence. Use `yy ledger` CLI for secure evidence management without publishing or deploying.

A discovery guide for scientific research and analysis skills, covering methods, data provenance, and evidence validation for reproducible results.

Maintain a review-first engineering wiki with provenance, citation-aware queries, explicit capture and promotion, and deterministic checks. Helps teams capture durable lessons and verify knowledge before turning it into rules.

MockHunter is an advanced skill designed to audit live web pages, providing a comprehensive reality check on visible data. It analyzes every element to determine its true source: whether it is REAL (from the database), MOCK (simulated data), LLM-generated, HARDCODED, BROKEN (broken endpoints), or UNKNOWN. Ideal for auditing AI-generated UIs or reviewing proof-of-concept MVPs before customer sign-off.

Secure AI model supply chains with artifact signing, provenance attestation, SBOM generation, dependency controls, and trusted model promotion. Use for verifying model integrity, meeting SLSA/SOC2 compliance, and protecting against tampering and compromised dependencies.

Retrieve official NOAA/NCEP MRMS radar and multisensor composites such as QPE, VIL, VII, and MESH for a chosen domain and UTC time. Validates product, grid, quality, timestamp, and provenance before use in mapping or analysis.

This skill constructs a quality-aware NEXRAD multi-radar mosaic from aligned single-site products. It handles explicit coverage, beam geometry, quality weighting, and overlap resolution. It ensures provenance for every output pixel. Suitable for combining multiple radars to cover a region with overlapping fields. It preserves distinction between local analysis and official provider mosaics.

This skill generates scientifically accurate plots from NEXRAD Level II/III site scans and decoded radar mosaics. It ensures correct radar geometry, map grids, units, quality masks, timestamps, and data provenance. Suitable for meteorological analysis, it supports plotting reflectivity, radial velocity, dual-polarization moments, and various views like PPI, RHI, and cross-sections. It validates data integrity before visualization to prevent misleading interpretations.

Generate, sign, and verify SBOMs and provenance attestations to secure the software supply chain. Use when implementing SLSA controls, artifact trust policies, or compliance evidence for releases.

This skill enables detection, response, and prevention of software supply chain attacks targeting package registries, container images, and CI/CD pipelines. It includes lockfile auditing, provenance verification using tools like Cosign and SLSA, and emergency response playbooks for compromised dependencies.