Merge pull request #189 from SharpAI/develop

Develop

Author: solderzzc

skills.json

@@ -100,54 +100,6 @@
         "large"
       ]
     },
-    {
-      "id": "yolo-detection-2026-coral-tpu",
-      "name": "YOLO 2026 Coral TPU",
-      "description": "Google Coral Edge TPU — real-time object detection with LiteRT (INT8, ~4ms inference at 320×320).",
-      "version": "2.0.0",
-      "category": "detection",
-      "path": "skills/detection/yolo-detection-2026-coral-tpu",
-      "tags": [
-        "detection",
-        "yolo",
-        "coral",
-        "edge-tpu",
-        "litert",
-        "real-time",
-        "coco"
-      ],
-      "platforms": [
-        "linux-x64",
-        "linux-arm64",
-        "darwin-arm64",
-        "darwin-x64",
-        "win-x64"
-      ],
-      "requirements": {
-        "python": ">=3.9",
-        "system": "libedgetpu",
-        "hardware": "Google Coral USB Accelerator"
-      },
-      "capabilities": [
-        "live_detection",
-        "bbox_overlay"
-      ],
-      "ui_unlocks": [
-        "detection_overlay",
-        "detection_results"
-      ],
-      "fps_presets": [
-        0.2,
-        0.5,
-        1,
-        3,
-        5,
-        15
-      ],
-      "model_sizes": [
-        "nano"
-      ]
-    },
     {
       "id": "camera-claw",
       "name": "Camera Claw",
@@ -157,16 +109,46 @@
       "url": "https://github.com/SharpAI/CameraClaw",
       "repo_url": "https://github.com/SharpAI/CameraClaw",
       "code_structure": [
-        { "path": "SKILL.md", "desc": "Aegis skill manifest (11 params)" },
-        { "path": "package.json", "desc": "Node.js dependencies" },
-        { "path": "config.yaml", "desc": "Default params" },
-        { "path": "deploy.sh", "desc": "Node.js + Docker bootstrapper" },
-        { "path": "deploy.bat", "desc": "Windows bootstrapper" },
-        { "path": "scripts/monitor.js", "desc": "Main entry — Docker orchestrator + JSONL protocol" },
-        { "path": "scripts/health-check.js", "desc": "Container health checker" },
-        { "path": "docs/aegis_openclaw_note.md", "desc": "Aegis integration requirements" }
+        {
+          "path": "SKILL.md",
+          "desc": "Aegis skill manifest (11 params)"
+        },
+        {
+          "path": "package.json",
+          "desc": "Node.js dependencies"
+        },
+        {
+          "path": "config.yaml",
+          "desc": "Default params"
+        },
+        {
+          "path": "deploy.sh",
+          "desc": "Node.js + Docker bootstrapper"
+        },
+        {
+          "path": "deploy.bat",
+          "desc": "Windows bootstrapper"
+        },
+        {
+          "path": "scripts/monitor.js",
+          "desc": "Main entry — Docker orchestrator + JSONL protocol"
+        },
+        {
+          "path": "scripts/health-check.js",
+          "desc": "Container health checker"
+        },
+        {
+          "path": "docs/aegis_openclaw_note.md",
+          "desc": "Aegis integration requirements"
+        }
+      ],
+      "tags": [
+        "security",
+        "sandbox",
+        "monitoring",
+        "openclaw",
+        "ai-agent"
       ],
-      "tags": ["security", "sandbox", "monitoring", "openclaw", "ai-agent"],
       "platforms": [
         "linux-x64",
         "linux-arm64",
@@ -310,6 +292,40 @@
       "ui_unlocks": [
         "annotation_studio"
       ]
+    },
+    {
+      "id": "yolo-detection-2026-coral-tpu-macos",
+      "name": "YOLO 2026 Coral TPU (macOS)",
+      "description": "Google Coral Edge TPU natively via ai-edge-litert on macOS",
+      "category": "detection",
+      "path": "skills/detection/yolo-detection-2026-coral-tpu-macos",
+      "tags": [
+        "detection",
+        "yolo",
+        "coral",
+        "edge-tpu"
+      ],
+      "platforms": [
+        "darwin-arm64",
+        "darwin-x64"
+      ]
+    },
+    {
+      "id": "yolo-detection-2026-coral-tpu-win-wsl",
+      "name": "YOLO 2026 Coral TPU (Windows/WSL)",
+      "description": "Google Coral Edge TPU natively mapped to WSL2",
+      "category": "detection",
+      "path": "skills/detection/yolo-detection-2026-coral-tpu-win-wsl",
+      "tags": [
+        "detection",
+        "yolo",
+        "coral",
+        "edge-tpu",
+        "wsl"
+      ],
+      "platforms": [
+        "win-x64"
+      ]
     }
   ]
 }

skills/analysis/home-security-benchmark/scripts/generate-report.cjs

@@ -109,6 +109,7 @@ function buildHTML(allResults, fixtureImages, { liveMode = false, liveStatus = n
         tokens: r.tokens || r.data?.tokenTotals?.total,
         perfSummary: r.perfSummary || r.data?.perfSummary || null,
         system: r.data?.system || {},
+        serverParams: r.data?.serverParams || {},
         tokenTotals: r.data?.tokenTotals || {},
         suites: (r.data?.suites || []).map(s => ({
             name: s.name,
@@ -492,6 +493,15 @@ function renderPerformance() {
     let html = '<div class="header"><div class="page-title">⚡ Performance</div>';
     html += '<div class="page-subtitle">' + esc(run.model || '?') + ' — ' + shortDate(run.timestamp) + '</div></div>';
 
+    if (run.serverParams && typeof run.serverParams === 'object' && Object.keys(run.serverParams).length > 0) {
+        let paramStr = '';
+        for (const k in run.serverParams) {
+            if (paramStr) paramStr += ' | ';
+            paramStr += '<b>' + esc(k) + '</b>: ' + esc(String(run.serverParams[k]));
+        }
+        html += '<div style="font-size:0.75rem; color:var(--text-dim); margin-left: 2rem; margin-top: 0.5rem; padding-bottom: 0.5rem;">[Server Params]  ' + paramStr + '</div>';
+    }
+
     // Hero cards
     html += '<div class="hero-grid">';
     const ttftAvg = perf?.ttft?.avgMs;

skills/analysis/home-security-benchmark/scripts/run-benchmark.cjs

@@ -230,10 +230,14 @@ function suite(name, fn) {
     suites.push({ name, fn, tests: [] });
 }
 
+let targetServerParams = {};
+try { targetServerParams = JSON.parse(process.env.AEGIS_SERVER_PARAMS || '{}'); } catch { }
+
 const results = {
     timestamp: new Date().toISOString(),
     gateway: GATEWAY_URL,
     vlm: VLM_URL || null,
+    serverParams: targetServerParams,
     system: {},
     model: {},
     suites: [],
@@ -333,6 +337,9 @@ async function llmCall(messages, opts = {}) {
         ...(model && { model }),
         ...(temperature !== undefined && { temperature }),
         ...(opts.expectJSON && { top_p: 0.8 }),
+        // For JSON-expected tests on local servers, enable server-side JSON mode
+        // which activates prefix buffering to strip hallucinated artifacts
+        ...(opts.expectJSON && !isCloudApi && { response_format: { type: 'json_object' } }),
         ...(opts.tools && { tools: opts.tools }),
         // Model-family-specific params (e.g. reasoning_effort:'none' for Mistral).
         // These are merged last so they take precedence over defaults.