ultrasonic
ruvnet/ultrasonic
Ultrasonic Agentics is a steganographic framework that embeds encrypted AI instructions into inaudible high-frequency audio bands (18-20 kHz). It provides command-and-control communication channels embedded inside ordinary media files.
99 36MITUpdated 2025-06-09
67
GoodOverview
This tool enables secure, covert transmission of textual commands and data payloads by hiding them inside the ultrasonic range of audio and video files. Leveraging AES-256-GCM encryption, FSK modulation, and Model Context Protocol (MCP) servers, it allows AI agents and embedded systems to communicate invisibly across public media, low-power devices, or broadcast streams.
Capabilities
- ▸Embed encrypted textual payloads into audio and video formats
- ▸Decode steganographic ultrasonic commands using configurable keys
- ▸Provide Model Context Protocol (MCP) server endpoints for AI integration
- ▸Analyze media files for high-frequency content with spectrogram generation
- ▸Real-time streaming encoder and decoder for live audio pipelines
Best for
Covert AI agent coordination and multi-agent instruction passing, Low-power command and control for IoT devices and remote sensors, Embedding digital watermarks and tamper-evident signatures in multimedia, Secure auxiliary data channels for emergency communications, Real-time audio monitoring and proximity trigger detection
Works with
Claude CodeCursorGitHub CopilotChatGPT
Evoa Score breakdown= Σ (score × weight)
67Task usefulness20%88 → +17.6
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%85 → +12.8
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%25 → +3.8
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%54 → +6.5
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%50 → +7.5
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%90 → +9.0
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%56 → +4.5
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total66.6 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Implements AES-256-GCM encryption and HMAC authentication for hidden commands. However, steganographic data channels can be abused for covert exfiltration or unauthorized command injection if inputs are unverified.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.