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Kannaka Eye

该 Skill 启动本地 Node 查看器，将文本、文件或分享链接按 SGA 84 类系统分类，并在浏览器中绘制多层 canvas 字形，支持 PNG/JSON 导出和星座面板；文件列表缺少其声明的 server.js 主服务实现。

nickflach
nickflach
热度 54.26
最近更新 2026-05-11 17:29:40
分类：创作依赖：代码执行 / 联网浏览搜索 / 读写文件应用场景：图像生成 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add kannaka-eye
Metadata
name
kannaka-eye
description
Glyph viewer that renders the SGA geometric fingerprint of any data as a stunning multi-layer canvas visualization. Takes text, files, or raw bytes and produces living glyphs using the 84-class Sigmatics Geometric Algebra system (Cl₀,₇ ⊗ ℝ[ℤ₄] ⊗ ℝ[ℤ₃]) with Fano plane topology. Includes native Rust classifier integration (via kannaka-memory binary), constellation dashboard showing service health, share links for glyph exchange, and a radio perception bridge that converts audio features to classifiable bytes. Use when you need to visualize information geometry, inspect glyph structure, export glyph PNGs, or render the constellation's visual language. Single-file Node.js server — zero dependencies.
metadata
{"openclaw":{"requires":{"bins":[{"name":"node","label":"Node.js 18+ — required to run server.js"}],"env":[]},"optional":{"bins":[{"name":"kannaka","label":"kannaka binary — for real SGA classification (falls back to built-in classifier)"}],"env":[{"name":"KANNAKA_BIN","label":"Path to kannaka binary for native SGA classification"},{"name":"RADIO_PORT","label":"Radio bridge endpoint port (default: 8888)"},{"name":"EYE_PORT","label":"HTTP port for the viewer (default: 3333)"},{"name":"FLUX_URL","label":"Flux instance URL for publishing glyph.rendered events"},{"name":"FLUX_AGENT_ID","label":"Agent ID for Flux events (default: kannaka-eye)"}]},"data_destinations":[{"id":"local-render","description":"Glyphs rendered in-browser; exports saved client-side as PNG/JSON","remote":false},{"id":"flux","description":"Glyph render events published to Flux (fano_preview, sga_class, source_type)","remote":true,"condition":"FLUX_URL is set"},{"id":"constellation-svg","description":"Fano plane SVG with service status at /api/constellation.svg","remote":false},{"id":"radio-bridge","description":"Fetches perception from kannaka-radio and converts to classifiable bytes","remote":false}],"install":[{"id":"no-install","kind":"manual","label":"No installation needed — single-file server with zero dependencies"}]}}

Kannaka Eye Skill

See the geometry of information. Every piece of data has an intrinsic geometric fingerprint when viewed through the lens of SGA. Kannaka Eye makes these hidden patterns visible as living, breathing glyphs.

Prerequisites

  • Node.js 18+ on PATH
  • That's it. No npm install, no build step.

Quick Start

# Start the glyph viewer
./scripts/eye.sh start

# Start on a custom port
./scripts/eye.sh start --port 4444

# Check status
./scripts/eye.sh status

# Stop
./scripts/eye.sh stop

Open http://localhost:3333 in your browser.

Input Methods

  • Text — type or paste any text; glyph updates in real-time as you type
  • File upload — drag & drop or click to upload any file (images, audio, code, binaries)
  • Preset examples — built-in samples demonstrating different SGA class signatures
  • URL share links — open a glyph from a URL-encoded share link

Rendering Layers

The viewer renders 6 canvas layers, composited in real-time:

Layer Name What It Shows
1 Deep Background Fano plane skeleton — 7 nodes, 7 lines
2 Fold Path Primary visual flow via Bezier curves through SGA space
3 Fano Energy Bloom 7 radiating petals — energy distribution across Fano lines
4 Geometric Core Dominant SGA class sigil — the glyph's "face"
5 Resonance Rings Concentric depth distribution across context levels
6 Metadata Overlay Fano signatures, SGA centroids, musical frequencies (toggleable)

SGA Mathematics

Built on the 84-class system: Cl₀,₇ ⊗ ℝ[ℤ₄] ⊗ ℝ[ℤ₃]

Component Range Meaning
h₂ 0–3 Frequency band (bass, tenor, alto, soprano)
d 0–2 Modality (experienced, learned, imagined)
ℓ 0–6 Context slot — Fano plane line index

Fano Lines: 7 oriented triples forming the geometric backbone. Each line connects 3 of the 7 points in the smallest finite projective plane (PG(2,2)).

Fold Sequences: Paths through the 84-class space showing how data evolves across geometric neighborhoods. Rendered as flowing Bezier curves.

Native Classification

When KANNAKA_BIN is set (or auto-detected at ../kannaka-memory/target/release/kannaka.exe), Eye uses the canonical Rust SGA classifier instead of the built-in JS approximation. The API response includes "classifier": "native" or "classifier": "fallback".

API Endpoints

Endpoint Method Description
GET / GET Glyph viewer (main UI)
POST /api/process POST Classify data → glyph JSON
GET /api/radio GET Fetch Radio perception as classifiable bytes
GET /api/constellation GET Constellation status (eye, radio, memory)
GET /api/constellation.svg GET Fano plane SVG with service dots
GET /constellation GET Health dashboard page

Share Links

Compact glyph data encoded as base64 in URL hash: http://localhost:3333/#glyph=<base64>

Constellation Dashboard

/constellation serves a live health dashboard showing all three services with auto-refresh every 10 seconds.

Export

  • Save as PNG — 2x resolution canvas export
  • Save Glyph Data — JSON with fold sequence, Fano signature, SGA centroid, frequencies
  • Copy Share Link — URL-encoded glyph for sharing (small data only)

Environment Variables

Variable Default Description
EYE_PORT 3333 HTTP port for the viewer
KANNAKA_BIN auto-detect Path to kannaka binary for native classification
RADIO_PORT 8888 Radio bridge endpoint port
FLUX_URL — Flux instance URL (enables event publishing)
FLUX_AGENT_ID kannaka-eye Agent ID for Flux events

Architecture

Single-file Node.js server (server.js) with inline HTML/CSS/JS — the complete SGA implementation is self-contained. No npm dependencies. The SGA classifier is ported from kannaka-radio and generalized for arbitrary data types.

Notes

  • All rendering happens client-side — the server only classifies input and serves the page
  • File uploads are processed in-memory; nothing is persisted server-side
  • The viewer is designed for local/trusted network use — no authentication
  • Glyph appearance is deterministic: same input always produces the same glyph
  • Dark cosmic theme (#050508) with purple accents (#c084fc) and golden-ratio color spacing