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1. Slovakia finds a Russian backdoor in 279 traffic speed cameras โ€” SMS-triggered shell access

  • Velocity: โ–ฎโ–ฎโ–ฎ trending
  • Source: Hacker News ยท 276 pts ยท ~1d ago (~12:03 UTC+8)
  • Tags: supply-chain backdoor iot surveillance critical-infrastructure

Slovakia's National Security Authority (NBรš) concluded that 279 NERO R-ONE traffic speed cameras, bought in a ~โ‚ฌ30M EU-funded road program, are rebranded Russian CORDON PRO.M systems from St. Petersburg firm Simicon โ€” the SHA-1 hash of the measurement software matched KORDON-V exactly. The firmware contains a hardcoded list of 12 Russian phone numbers (St. Petersburg, Leningrad, Kemerovo regions): an SMS from one of them plus a password opens a remote command shell. Cameras also expose passwordless live video feeds (anyone with the IP can watch), a hidden second SIM slot absent from the docs, and ineffective/disabled Secure Boot. The units were bought without tender via Cyprus shell company Sodasus, with reportedly forged conformity certificates; the government first denied it, then deactivated the units, froze the rollout, and opened a criminal investigation.

Why it matters: A national surveillance rollout whose procurement checked paperwork but not firmware โ€” a "rebadge" carrying an undocumented, remote-reachable control path in critical infrastructure, and a template for how EU-funded hardware programs get compromised by origin.

๐Ÿ”— Tom's Hardware ยท ๐Ÿ”— Risky.biz bulletin

2. First Android malware built for car head units โ€” Kaspersky traces an ad-fraud + proxy botnet

  • Velocity: โ–ฎโ–ฎโ–ฎ trending
  • Source: Hacker News ยท 175 pts ยท ~1d ago (~12:03 UTC+8)
  • Tags: malware android automotive botnet supply-chain

Kaspersky documented the first Android malware campaign with a car-head-unit-specific infection chain, targeting DoFun firmware (30M+ vehicle owners). Attackers abused the built-in updater: the legitimate TWCore (com.tw.core) system app receives APK instructions over an MQTT broker at cardoor[.]cn, and an installNotExists flag lets it install apps that weren't originally present. Three stages follow โ€” a UI-less JarService dropper (XOR-decrypted), a loader that POSTs to C2, and a final clicker + zhima reverse-proxy module (the same zhima found in TV set-top boxes by Nokia Deepfield) that adds the SIM-equipped, always-on head unit to a proxy botnet. Kaspersky attributes it "with high confidence" to MoYu Group, linked to the BADBOX botnet; DoFun was notified and says it fixed the issue.

Why it matters: Cars become a botnet substrate through their own trusted update channel โ€” no malicious APK sideloading, just a compromised vendor pipe โ€” and the SIM + always-on power make them ideal residential-proxy nodes.

๐Ÿ”— Kaspersky Securelist ยท ๐Ÿ”— The Hacker News

3. free-claude-code โ€” a local proxy that routes Claude Code/Codex onto 49 free-tier providers

  • Velocity: โ–ฎโ–ฎโ–ฎ trending
  • Source: GitHub ยท 47.8k stars ยท ~1d ago (#8 daily trending)
  • Tags: api-gateway llm cost-optimization claude-code open-source

Alishahryar1/free-claude-code (MIT) runs a local fcc-server proxy and admin UI that points your existing coding agents โ€” Claude Code, Codex, Pi, OpenCode, Cline, Hermes, DeepSeek Harness, Grok Build, Muse Code โ€” at a catalog of providers, many with free tiers (NVIDIA NIM, OpenRouter, Groq, xAI, QwenCloud, Together, DeepInfra, Gemini/Vertex, or local Ollama/LM Studio). It advertises "49 ToS-friendly providers, 1.3B+ free tokens every month," with per-tier model routing (Opus/Sonnet/Haiku/Fable), reasoning-level control, and automatic fallback to the next configured model on provider failure. The README is explicit it's independent and "not affiliated with or endorsed by Anthropic."

Why it matters: A viral answer to multi-agent subscription fatigue โ€” but "free" here means routing third-party models through Anthropic's client, a ToS gray zone the README's "ToS-friendly" claim doesn't fully resolve.

๐Ÿ”— Alishahryar1/free-claude-code ยท ๐Ÿ”— Releases

4. OpenHuman โ€” a local-first "personal AI superintelligence" with memory, orchestration and deep research

  • Velocity: โ–ฎโ–ฎ rising
  • Source: GitHub ยท 36.7k stars ยท #1 trending (9 days running)
  • Tags: agents local-first agent-memory orchestration open-source

tinyhumansai/openhuman (GPL-3.0, "Early Beta") is a personal AI agent in three layers: a brain (data compressed into scored Markdown trees in SQLite, mirrored as an editable Obsidian vault, with 100+ OAuth integrations, 5,000+ MCP servers, and 90,000+ Skills), an orchestrator (fleets of agents on checkpointed graph runs via tinyagents, durable trigger-driven/approval-gated tinyflows, and a "split brain" of fast reflex + deep reasoning core), and a deep researcher (Exa search, a real browser, in-process Whisper voice, and cross-provider model routing incl. fully local Ollama). It spans 17 messaging channels including native email, with a one-switch Rust-enforced Privacy Mode.

Why it matters: One of the fastest-rising "everything agent" harnesses โ€” a full local-first memory + orchestration stack competing with the OpenClaw/Claude Code ecosystem rather than a single-vendor memory shim.

๐Ÿ”— tinyhumansai/openhuman ยท ๐Ÿ”— Releases

5. awesome-agent-skills โ€” a curated 1,497-skill index from real engineering teams

  • Velocity: โ–ฎโ–ฎ rising
  • Source: GitHub ยท 31.2k stars ยท ~1d ago
  • Tags: skills agents claude-code codex curated-list

VoltAgent/awesome-agent-skills (MIT) is a curated directory of 1,497+ agent skills, explicitly "not mass AI-generated stuff" โ€” official skills from Anthropic, Google Labs, Vercel, Stripe, Cloudflare, Netlify, Trail of Bits, Sentry, Expo, Hugging Face, and Figma, plus community contributions, each linked to its source and described. It's organized by contributing org and is compatible with Claude Code, Codex, Antigravity, Gemini CLI, Cursor, GitHub Copilot, OpenCode, and Windsurf.

Why it matters: The "skills" ecosystem now has a canonical, org-attributed index โ€” a single place to discover what's real and maintained rather than scraping raw trending lists.

๐Ÿ”— VoltAgent/awesome-agent-skills ยท ๐Ÿ”— Skills index

6. CVE-2026-7808 โ€” justhtml sanitizer bypasses let script/style survive (CVSS 9.8, VulnCheck-assigned)

  • Velocity: โ–ฎโ–ฎ rising
  • Source: NVD / VulnCheck ยท CVSS 9.8 (3.1) / 9.3 (4.0) ยท ~1d ago (Aug 23)
  • Tags: cve xss html-sanitizer python supply-chain

CVE-2026-7808 (GHSA-4p64-v8f5-r2gx) is a CWE-20 flaw in the Python HTML sanitizer justhtml before 1.16.0: multiple bypasses let active/dangerous content (script, style) survive sanitization into XSS. The vectors target advanced usage rather than the default JustHTML(..., sanitize=True) path โ€” mutating or reusing sanitization policy objects, mixed-case tags (ScRiPt, StYlE) in programmatic DOM input, crafted doctype names, and custom SVG/MathML policies that let animation elements, url(...) presentation attributes, or mislabeled namespace="html" trees slip foreign-content checks. Published Aug 23 by VulnCheck; no active exploitation reported.

Why it matters: A reminder that a sanitizer's default path can be safe while its configurable path is not โ€” and note the 9.8 is a VulnCheck-assigned score for XSS, not RCE, so the raw number overstates the real-world impact of the default configuration.

๐Ÿ”— NVD CVE-2026-7808 ยท ๐Ÿ”— GitHub advisory GHSA-4p64-v8f5-r2gx

7. book-to-skill โ€” turn a technical book PDF into an on-demand Claude Code skill

  • Velocity: โ–ฎ steady
  • Source: GitHub ยท 24.5k stars ยท ~1d ago
  • Tags: skills claude-code pdf knowledge-base open-source

virgiliojr94/book-to-skill (MIT) converts a technical book or document into an agent skill: a SKILL.md with mental models and a chapter index, plus per-chapter files, a glossary, patterns, and a cheatsheet. Chapters load on-demand so the agent reads only what's relevant โ€” the project claims 24ร—โ€“51ร— fewer tokens than dumping the book into context. It accepts PDF, EPUB, DOCX, HTML, RTF, MOBI/AZW, Markdown, reStructuredText, AsciiDoc, and text (docling for code-heavy books, pdftotext for prose, OCR for scans), and follows the open Agent Skills standard so the same skill works in GitHub Copilot CLI, Amp, and Claude Code.

Why it matters: A clean answer to the "reference book doesn't fit in context" problem โ€” convert once, and the agent pulls chapters like a library instead of a context dump.

๐Ÿ”— virgiliojr94/book-to-skill ยท ๐Ÿ”— Releases

8. Reticle โ€” a runtime "proof layer" that lets agents verify their code against live app state

  • Velocity: โ–ฎ steady
  • Source: GitHub ยท 334 stars ยท ~2d ago
  • Tags: agents mcp testing verification developer-tools

reticlehq/reticle (Apache-2.0) is a runtime verification layer for AI agents: it injects a dev-only SDK into your dev server and exposes tools over MCP โ€” reticle_navigate, reticle_act_and_wait, reticle_network โ€” so an agent reads real app state (network requests, state management, console, routes) instead of guessing from screenshots. Only act_and_wait and assert produce verdicts: deterministic pass / fail / unknown with evidence (e.g. "API returned 200, data written, route changed"), and unknown is never downgraded to pass. Supports React, Vue, Svelte, Preact, Astro, plain HTML, Electron, and Tauri, with any MCP-compatible agent (Claude Code, Cursor, Copilot, Codex, Windsurf, OpenCode).

Why it matters: Targets the exact failure mode where an agent declares "feature complete" without running the code โ€” replacing visual heuristics with deterministic, state-backed assertions.

๐Ÿ”— reticlehq/reticle ยท ๐Ÿ”— gentic.news writeup

9. AWS open-sources Dogwood โ€” a Cedar extension that governs sequences of agent tool calls

  • Velocity: โ–ฎ steady
  • Source: AWS Open Source Blog ยท Aug 6 ยท ~18d ago
  • Tags: policy agents aws runtime-verification mcp

AWS open-sourced Dogwood (Apache-2.0), a policy language that extends Cedar with a when temporal clause reading an agent's event history โ€” built on Metric First-Order Temporal Logic (MFOTL) from runtime verification. Four standard-library operators โ€” formerly, count_within, count_distinct_within, sum_within โ€” plus bind encode rules like "require approval before a critical action," "โ‰ค$5,000 transferred/hour," or "no external contact after touching confidential data." Any valid Cedar policy remains a valid Dogwood policy, and it's now wired into Amazon Bedrock AgentCore Policy. AWS is explicit about the caveats: it's stateful (cost grows with log length), temporal conditions don't support Cedar's automated-reasoning tools, and the reference interpreter is for exploration/testing, not production authorization.

Why it matters: The first mainstream policy language that evaluates a trajectory of tool calls rather than each call in isolation โ€” moving agent governance from "is this action allowed" to "is this sequence of actions allowed," while being honest that it's reference-grade today.

๐Ÿ”— AWS Open Source Blog ยท ๐Ÿ”— InfoQ

10. MidTool โ€” mid-training data synthesis for agentic tool use (arXiv 2608.20314)

  • Velocity: โ–ฎ steady
  • Source: arXiv ยท 2608.20314 ยท ~4d ago
  • Tags: agents tool-use mid-training synthetic-data research

AWS and UCSD researchers (Jiang, Wang, Liu, Xu, Yao, Poovendran, He) introduce MidTool, a pipeline that synthesizes a mid-training corpus (MidTool-Mix) from web/PDF/code plus supervision drawn from real tool APIs, MCP skills, and document-grounded workflows โ€” targeting four skills: recognizing tool affordances, grounding arguments from context, composing tool-call workflows, and recovering from incomplete information. Mid-training Qwen3-4B/8B on the mix "consistently improves" downstream tool-use benchmarks (BFCL, tau2-Bench, MCP-Universe) under both SFT and RL.

Why it matters: Evidence that general tool use deserves dedicated mid-training rather than being left entirely to post-training โ€” a cheap lever for tool-calling capability that composes with existing fine-tuning.

๐Ÿ”— arXiv 2608.20314 ยท ๐Ÿ”— Hugging Face Papers

11. Break It Down, Pass It On โ€” whole-task skills degrade agents; subtask skills help (arXiv 2608.20274)

  • Velocity: โ–ฎ steady
  • Source: arXiv ยท 2608.20274 ยท ~4d ago
  • Tags: agents skill-transfer memory benchmark research

A controlled study of cross-task skill transfer in LLM agents finds a counterintuitive result: task-level skills mostly degrade performance below a no-memory baseline, while subtask-level skills improve it on average, and text-based skills transfer better than code-based ones. The authors propose a "skill utility score" combining specificity and abstractness that predicts whether a skill will transfer โ€” without running the task.

Why it matters: Directly contradicts the "remember everything you did" instinct in agent-memory design โ€” the useful unit is the granular subtask skill, and the scoring heuristic is a cheap filter for what's worth keeping.

๐Ÿ”— arXiv 2608.20274 ยท ๐Ÿ”— Hugging Face Papers

12. Inject, Align, Recover โ€” retrieval-free internalization of a document corpus (arXiv 2608.20281)

  • Velocity: โ–ฎ steady
  • Source: arXiv ยท 2608.20281 ยท ~4d ago
  • Tags: post-training knowledge-internalization rag research

The IAR framework converts a fixed document corpus into parametric knowledge through three post-training stages โ€” injection, alignment, recovery โ€” so a model answers from weights instead of retrieval. Across Llama, Phi, Qwen, and SmolLM families it reports average gains of +3.6pp on domain QA and +12.1pp on general benchmarks, outperforming continued pretraining.

Why it matters: A potential cheaper, lower-latency alternative to RAG for a fixed knowledge base โ€” internalize once at training time instead of paying retrieval + context costs on every query, with results reproduced across four model families.

๐Ÿ”— arXiv 2608.20281 ยท ๐Ÿ”— Hugging Face Papers

13. CVE-2026-18963 โ€” Keycloak password-reset bypass lets anyone take over any account (CVSS 9.1)

  • Velocity: โ–ฎโ–ฎโ–ฎ trending
  • Source: NVD / Red Hat ยท CVSS 9.1 (CNA-assigned) ยท ~1d ago (Aug 24)
  • Tags: cve keycloak identity account-takeover authentication

Red Hat disclosed CVE-2026-18963 โ€” an improper-state-validation bug (CWE-640) in Keycloak's reset-credentials authentication flow that lets an unauthenticated, remote attacker reset any user's password without clicking the emailed action link. A crafted request to the reset endpoint advances the session straight to the password-update phase, so the emailed token is never required; the outcome is full account takeover of any account, including administrative ones. Fixed in upstream Keycloak 26.7.2 (Aug 19) and in the Red Hat Build of Keycloak 26.4 / 26.6 streams; Red Hat's temporary mitigation is to disable the "Forgot password" setting per realm. No exploitation observed and no public exploit as of Aug 24.

Why it matters: A single unauthenticated request defeats the "prove you own the email inbox" step at the heart of a leading identity provider โ€” every deployment sitting in front of internal systems should treat 26.7.2 as a drop-everything update, not a routine bump.

๐Ÿ”— NVD CVE-2026-18963 ยท ๐Ÿ”— The Hacker News

14. Qwen3.8-27B โ€” Alibaba's 27B Apache-2.0 "Opus at home" brings agentic coding to a 24 GB GPU

  • Velocity: โ–ฎโ–ฎโ–ฎ trending
  • Source: Hugging Face ยท Qwen3.8-27B ยท ~10d ago (Aug 14 release)
  • Tags: open-weights llm qwen agentic-coding multimodal

Alibaba's Qwen team open-sourced Qwen3.8-27B (Apache-2.0): a 27B dense model (28B with the vision encoder) built on a hybrid Gated-DeltaNet / attention stack โ€” 48 linear-attention layers and 16 full-attention layers โ€” with native image and video input and a 262K-token context (extensible to 1M via YaRN, hosted only). The headline numbers: SWE-bench Pro 61.7 and Terminal-Bench 2.1 73.0, above Claude Opus 4.6 Max's reported SWE-bench Pro 53.4 โ€” and after 4-bit quantization (~17 GB) it runs on a 24 GB consumer GPU or a laptop. It topped Hugging Face trending within days and passed 3M downloads in its first three.

Why it matters: The clearest evidence yet of "frontier-adjacent" agentic coding at locally-hostable scale โ€” but treat the SWE-bench Pro gap with care: it's a vendor-reported number run under the Claude Code harness, while Opus 4.6 Max's score is its officially-reported figure, so the two aren't an apples-to-apples ablation; independent tests also found it ~3ร— slower and more token-hungry than its predecessor.

๐Ÿ”— Qwen3.8-27B model card ยท ๐Ÿ”— OrcaRouter review

15. CVE-2026-76904 โ€” GeoServer jsonArrayContains SQLi regresses CVE-2023-25158, actively exploited (CVSS 9.8)

  • Velocity: โ–ฎโ–ฎโ–ฎ trending
  • Source: GitHub advisory GHSA-mqjf-5f49-2fjh ยท CVSS 9.8 ยท disclosed Aug 12, patched Aug 14
  • Tags: cve sql-injection geoserver postgis actively-exploited

CVE-2026-76904 (GHSA-mqjf-5f49-2fjh, CVSS 9.8) is an unauthenticated SQL injection in GeoServer's OGC jsonArrayContains filter for PostGIS datastores โ€” a regression of CVE-2023-25158 (also 9.8). The jsonArrayContains(<column>, <pointer>, <value>) function writes <value> into generated SQL without escaping; chaining it through WFS 1.0 lets a second PostgreSQL statement run at the top level of the query, and if GeoServer connects as superuser or with pg_execute_server_program, that becomes OS command execution on the database host. watchTowr observed active exploitation attempts within hours of disclosure. Fixed in GeoTools 33.6 / 34.5 / 35.1 (GeoServer 2.27.6 / 2.28.5 / 3.0.1).

Why it matters: A textbook regression โ€” a patched 9.8 reintroduced by a new filter function โ€” on a server that is routinely internet-exposed for public maps, and the exploitation was observed in the wild, not theoretical.

๐Ÿ”— GitHub advisory GHSA-mqjf-5f49-2fjh ยท ๐Ÿ”— The Hacker News

16. vorssaint-utils โ€” a free macOS menu-bar toolkit that replaces a dozen paid utilities (+2.5k stars/day)

  • Velocity: โ–ฎโ–ฎ rising
  • Source: GitHub ยท 9.9k stars ยท +2,530 today (#20 daily trending)
  • Tags: macos menu-bar open-source gpl local-first

vorssaint/vorssaint-utils (GPL-3.0) folds a per-app audio mixer (with >100% boost and per-app output routing), window snapping + a โŒ˜Tab switcher, clipboard history, a command bar, keep-awake, display/XDR brightness, battery/temperature graphs, and a Homebrew manager into one menu-bar icon โ€” "no account, no telemetry, no subscription," everything local. It installs via brew install --cask vorssaint, is modular (install only the features you want), and every permission is optional and explained.

Why it matters: A "Raycast-meets-Bartender" consolidation is the fastest riser on GitHub today, and its local-first, modular posture is the same de-clouding instinct driving the broader push away from subscription desktop tools.

๐Ÿ”— vorssaint/vorssaint-utils ยท ๐Ÿ”— Releases

17. ai-engineering-from-scratch โ€” a 511-lesson, 20-phase curriculum where every lesson ships an artifact

  • Velocity: โ–ฎโ–ฎ rising
  • Source: GitHub ยท 48k stars ยท #13 trending
  • Tags: education ai-engineering curriculum open-source mcp

rohitg00/ai-engineering-from-scratch (MIT) is a free 511-lesson / 20-phase AI-engineering curriculum (~329 hours across Python, TypeScript, Rust, Julia) where every lesson produces a reusable artifact โ€” a prompt, skill, agent, or MCP server โ€” instead of theory. The phases run linear algebra โ†’ classical ML โ†’ deep learning โ†’ transformers โ†’ LLMs โ†’ tools/protocols โ†’ agents โ†’ swarms โ†’ production; installable AI-tutor skills (npx skills add โ€ฆ) include dedicated MCP and Agent Skills paths, plus a compiled six-volume book and free Anthropic-certification prep.

Why it matters: A direct answer to the "84% use AI tools, 18% feel ready professionally" gap โ€” a curriculum built around the artifacts agents actually consume rather than another pile of notebooks.

๐Ÿ”— rohitg00/ai-engineering-from-scratch ยท ๐Ÿ”— aiengineeringfromscratch.com

18. claude-obsidian โ€” a local-first "second brain" that files your sources into an Obsidian knowledge graph

  • Velocity: โ–ฎ steady
  • Source: GitHub ยท 11.5k stars ยท #12 trending
  • Tags: obsidian claude-code agent-memory local-first knowledge-base

AgriciDaniel/claude-obsidian (MIT, v2.1.0) turns Obsidian + Claude Code into a self-organizing knowledge system: drop in files, URLs, or YouTube, and 15 skills (wiki, save, wiki-ingest, wiki-query, wiki-lint, autoresearch, โ€ฆ) read, link, and file sources into plain Markdown you own, following Karpathy's LLM-Wiki pattern. Trust is transactional โ€” SHA-256 hashing, a process-lifetime vault lock, journaled backups, and conflict detection (never silent overwrites) โ€” and provenance is tracked per claim, with grounded refusals preferred over invented citations.

Why it matters: Agent memory as an auditable, human-ownable Obsidian vault instead of an opaque vector store โ€” local by default, with embeddings, OCR, and network egress explicitly consent-gated.

๐Ÿ”— AgriciDaniel/claude-obsidian ยท ๐Ÿ”— Releases

19. anthropics/claude-plugins-community โ€” Anthropic opens a security-vetted plugin marketplace for Claude Code

  • Velocity: โ–ฎ steady
  • Source: GitHub ยท 1.2k stars ยท #7 trending
  • Tags: plugins claude-code marketplace anthropic skills

Anthropic published anthropics/claude-plugins-community (Apache-2.0), a read-only mirror of the community plugin marketplace for Claude Cowork and Claude Code. Plugins are submitted at clau.de/plugin-directory-submission, pass automated security scanning, and are approved for distribution; the marketplace.json list syncs nightly from Anthropic's internal review pipeline. Install with claude plugin marketplace add anthropics/claude-plugins-community, then claude plugin install <name>@claude-community โ€” current plugins include eli5, quickdesign, testdino, and tres-finance-plugin.

Why it matters: A vetted distribution channel for third-party Claude Code extensions โ€” the "app store" layer the skills ecosystem was missing, and an important trust boundary since every plugin runs inside your dev environment.

๐Ÿ”— anthropics/claude-plugins-community ยท ๐Ÿ”— Claude plugins

20. Daedalus-150M โ€” a conv-attention hybrid designed for CPU inference (arXiv 2608.20210)

  • Velocity: โ–ฎ steady
  • Source: arXiv ยท 2608.20210 ยท ~1d ago
  • Tags: research efficient-models cpu-inference quantization small-models

Daedalus-150M (arXiv 2608.20210) is a 150M-parameter language model built for CPU inference: only 6 of 18 blocks use full attention, while 12 use short convolutions "whose memory is two timesteps wide," so two-thirds of the network never re-reads a growing cache. Trained from scratch on 59.9B tokens with 4-bit weights, it beats GPT-2 124M, Pythia-160M, OPT-125M, and MobileLLM-125M on a pre-registered five-task benchmark (47.31 vs a 42.20 bar) despite those seeing 3ร—โ€“1000ร— more data, and decodes 1.76ร— faster than a same-size all-attention control at 2K context.

Why it matters: A controlled demonstration that the KV-cache โ€” the main memory cost of long-context LLMs โ€” can be mostly designed away for the CPU/edge tier, with the ablation (same data, same size) actually isolating the architecture.

๐Ÿ”— arXiv 2608.20210 ยท ๐Ÿ”— Hugging Face Papers

Metadata

FieldValue
Generated2026-08-24T12:03:00Z
Items20
Sources tracked16 (Hacker News, Tom's Hardware, Risky.biz, Kaspersky, The Hacker News, GitHub, AWS, InfoQ, NVD, VulnCheck, arXiv, Hugging Face, gentic.news, OrcaRouter, aiengineeringfromscratch.com, Claude.com)
Update schedule04:03, 12:03, 20:03 UTC+8 (3x daily)
RankingVelocity-weighted (recency ร— engagement acceleration ร— source authority)
LicenseCC-BY 4.0

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