Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: transparency

英語版ディレクトリ

Znuny is a free, open-source, and versatile web-based ticketing system for Customer Service, Help Desk, IT Service Management, and more. It is built for transparency and long-term sustainability and is highly tailorable to your organization's needs.

571
Stars
73/100
信頼
カテゴリ: support-automation監査

A decentralized Electronic Health Record (EHR) system using Ethereum blockchain, Solidity, IPFS, Angular, and MetaMask. Enables secure, tamper-proof medical record storage and sharing with decentralized access control, ensuring transparency, patient data ownership, and enhanced healthcare data security.

137
Stars
70/100
信頼
カテゴリ: web3-analytics監査

Generate and render Mermaid diagrams for architecture docs, READMEs, PRs, terminals, and CI as themed SVG or ASCII/Unicode art. Use this skill whenever the user provides Mermaid code or .mmd files; asks for a flowchart, sequence/state/class diagram, ERD, XY chart, or architecture/workflow/data-model visualization; or wants to beautify, theme, batch-convert, or make a diagram terminal-friendly. Runs locally without a browser or DOM, with 15 built-in themes and custom colors.

1.1K
Stars
70/100
信頼
カテゴリ: design-creative監査

The library for faithful browser automation. High-fidelity fingerprinting for Bun, engineered for consistency and transparency.

218
Stars
67/100
信頼
カテゴリ: browser-automation監査

Official compliant tool suite for implementing the Transparency and Consent Framework (TCF) v2.0. The essential toolkit for CMPs.

151
Stars
69/100
信頼
カテゴリ: legal-compliance監査

Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.

282
Stars
61/100
信頼
カテゴリ: security監査

Reduce defensive writing in drafts and revisions by removing unnecessary caveats, disclaimers, hedges, apology-like framing, negative self-limiting statements, and over-explanations while preserving necessary scope, accuracy, safety, legal, ethical, and methodological limits. Use when drafting or revising academic writing, papers, essays, abstracts, introductions, contribution statements, discussions, conclusions, technical explanations, grant writing, product writing, policy writing, professional reports, or any text the user wants to be clearer, stronger, more direct, more concise, more confident, less verbose, less caveated, less apologetic, or less defensive.

136
Stars
69/100
信頼
カテゴリ: automation監査

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

346
Stars
63/100
信頼
カテゴリ: ml-automation監査

Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network.

329
Stars
63/100
信頼
カテゴリ: ml-automation監査

READ this skill when implementing or configuring animation-style shaders (Toon/Cel Shaders) — including outlines, rim lighting, toon shading, MatCap, emission, dissolve, hatching, or any stylized rendering effect. Contains preset styles and feature-to-reference mappings for lilToon, Poiyomi, UTS2, RToon, SToon, and ToonShadingCollection. Works as a domain knowledge plugin alongside workflow skills (OpenSpec, SpecKit) or plan mode of an agent.

57
Stars
57/100
信頼
カテゴリ: research監査

How real ATS (Workday/Greenhouse/Lever/Taleo/iCIMS/Ashby) parse, score and rank in 2026; evidence-based matching; and the legal limits on automated screening (EU AI Act high-risk, NYC LL144, EEOC Title VII, GDPR Art. 22). Load for changes under commands/match_resume.rs, cover_letter.rs, validate/, documents/embed.

48
Stars
64/100
信頼
カテゴリ: automation監査