modelstudioai · github-actions · Jul 29, 2026 · Jul 15, 2026 · Jul 15, 2026 · Jul 23, 2026
diff --git a/.github/workflows/publish-skills.yml b/.github/workflows/publish-skills.yml
@@ -0,0 +1,78 @@
+name: publish-skills
+
+on:
+  push:
+    branches: [feat/bailian-docs-update]
+    paths: ['skills/**']
+
+permissions:
+  contents: write
+  pull-requests: write
+
+concurrency:
+  group: publish-skills
+  cancel-in-progress: false
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Poke FC publisher (publish-skills)
+        run: |
+          # FC uses reconciliation-based publishing: request body is not trusted.
+          # curl -f only catches HTTP errors; FC returns 200 + success:false on
+          # business failure, so we also parse the response body to surface it.
+          RESP=$(curl -fsS --retry 3 --retry-delay 5 -X POST \
+            "${{ vars.FC_TRIGGER_URL }}/publish-skills")
+          echo "$RESP" | jq .
+          if [ "$(echo "$RESP" | jq -r '.success')" != "true" ]; then
+            echo "::error::publish-skills failed: $(echo "$RESP" | jq -r '.error // "unknown"')"
+            exit 1
+          fi
+
+          echo "### publish-skills result" >> "$GITHUB_STEP_SUMMARY"
+          echo '```json' >> "$GITHUB_STEP_SUMMARY"
+          echo "$RESP" | jq '{upserted, deleted, unchanged: (.unchanged | length), durationMs}' >> "$GITHUB_STEP_SUMMARY"
+          echo '```' >> "$GITHUB_STEP_SUMMARY"
+
+      - name: Create or update PR to main
+        id: pr
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          BRANCH="${{ github.ref_name }}"
+          TITLE="Auto PR: merge ${BRANCH} into main"
+
+          EXISTING_PR=$(gh pr list --head "$BRANCH" --base main --state open --json number --jq '.[0].number')
+
+          if [ -n "$EXISTING_PR" ]; then
+            echo "PR #$EXISTING_PR already exists, updating..."
+            gh pr edit "$EXISTING_PR" --title "$TITLE"
+            PR_NUMBER="$EXISTING_PR"
+          else
+            echo "Creating new PR..."
+            PR_NUMBER=$(gh pr create \
+              --base main \
+              --head "$BRANCH" \
+              --title "$TITLE" \
+              --body "Automated PR created on push to \`${BRANCH}\`." \
+              --no-maintainer-edit)
+          fi
+
+          echo "number=$PR_NUMBER" >> "$GITHUB_OUTPUT"
+
+      - name: Auto-merge PR
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          PR_NUMBER="${{ steps.pr.outputs.number }}"
+          echo "Merging PR #$PR_NUMBER..."
+          gh pr merge "$PR_NUMBER" --squash --delete-branch=false
+
+          echo "### PR #$PR_NUMBER merged" >> "$GITHUB_STEP_SUMMARY"
+          echo "Branch \`${{ github.ref_name }}\` has been merged into \`main\`." >> "$GITHUB_STEP_SUMMARY"
diff --git a/skills/bailian-docs-llm-wiki/SKILL.md b/skills/bailian-docs-llm-wiki/SKILL.md
@@ -148,22 +148,6 @@ description: >-
 | **按家族筛选**：按 primaryCapability / providers / itemCount / maxContextWindow 找家族 | `models/families.jsonl`（一行一家族，含 items[] 摘要） |
 | 模型家族总览 / 按能力分桶浏览         | `models/index.md`                                        |
 | 主题页 / API 文档（按功能领域查找）    | `wiki/index.md`（完整索引入口）                          |
-| OpenAI 兼容接口 | `wiki/concepts/openai-compatible-interface.md` |
-| API Key 鉴权 | `wiki/concepts/api-key.md` |
-| 函数调用（Function Calling） | `wiki/concepts/function-calling.md` |
-| 检索增强生成（RAG） | `wiki/concepts/rag.md` |
-| 异步调用与任务轮询 | `wiki/concepts/async-invocation.md` |
-| Token 与计费 | `wiki/concepts/token-and-billing.md` |
-| 流式输出 | `wiki/concepts/streaming-output.md` |
-| 业务空间（Workspace） | `wiki/concepts/workspace.md` |
-| 模型调优与部署 | `wiki/concepts/fine-tuning-and-deployment.md` |
-| MCP 与工具扩展 | `wiki/concepts/mcp-and-tools.md` |
-| 模型微调、压缩与部署对比 | `wiki/comparisons/fine-tuning-vs-compression-vs-deployment.md` |
-| 模型评估与模型监控对比 | `wiki/comparisons/model-evaluation-vs-monitoring.md` |
-| 图像、视频与 3D 生成对比 | `wiki/comparisons/image-vs-video-vs-3d-generation.md` |
-| 应用评估与应用监控对比 | `wiki/comparisons/app-evaluation-vs-monitoring.md` |
-| 知识库与记忆库对比 | `wiki/comparisons/knowledge-base-vs-memory-library.md` |
-| 托管智能体：指南与 API 对比 | `wiki/comparisons/managed-agents-guide-vs-api.md` |
 
 > 实际文件名以 `wiki/index.md` 为准；上表若有出入应回到索引页查找。
 

diff --git a/skills/bailian-docs-llm-wiki/llms.txt b/skills/bailian-docs-llm-wiki/llms.txt
diff --git a/skills/bailian-docs-llm-wiki/models/families.jsonl b/skills/bailian-docs-llm-wiki/models/families.jsonl
diff --git a/skills/bailian-docs-llm-wiki/models/groups/Kimi-K2.json b/skills/bailian-docs-llm-wiki/models/groups/Kimi-K2.json
diff --git a/skills/bailian-docs-llm-wiki/models/groups/MiniMax-M2.1.json b/skills/bailian-docs-llm-wiki/models/groups/MiniMax-M2.1.json
diff --git a/skills/bailian-docs-llm-wiki/models/groups/MiniMax-speech-market-place.json b/skills/bailian-docs-llm-wiki/models/groups/MiniMax-speech-market-place.json
@@ -14,11 +14,24 @@
       "description": "MiniMax 语音大模型能够根据上下文，智能预测文本的情绪、语调等信息，并生成超自然、高保真、个性化的语音。在社交、播客、有声书、新闻资讯、教育、数字人等多种场景中展现出强大的实力。",
       "features": [],
       "provider": "mini-max",
-      "limit": {
-        "message": "model not exist"
-      },
       "model": "MiniMax/speech-2.8-turbo",
       "iconUrl": "",
+      "prices": [
+        {
+          "priceUnit": "每次",
+          "price": "9.9",
+          "timeBand": "standard",
+          "type": "tts_vc_model",
+          "priceName": "声音复刻及声音设计"
+        },
+        {
+          "priceUnit": "每万字符",
+          "price": "2",
+          "timeBand": "standard",
+          "type": "cosy_tts_number",
+          "priceName": "语音合成"
+        }
+      ],
       "qpmInfo": {
         "model-default-actual": {
           "count_limit_period": 60,
@@ -37,6 +50,9 @@
           "type": "model-default"
         }
       },
+      "priceTimeBands": [
+        "standard"
+      ],
       "capabilities": [
         "TTS"
       ],
@@ -46,7 +62,6 @@
       "maxInputTokens": 10000,
       "inferenceProvider": "mini-max",
       "name": "speech-2.8-turbo",
-      "predictConfig": [],
       "samples": {
         "dashscope": {
           "default": {
@@ -68,11 +83,24 @@
       "description": "MiniMax 语音大模型能够根据上下文，智能预测文本的情绪、语调等信息，并生成超自然、高保真、个性化的语音。在社交、播客、有声书、新闻资讯、教育、数字人等多种场景中展现出强大的实力。",
       "features": [],
       "provider": "mini-max",
-      "limit": {
-        "message": "model not exist"
-      },
       "model": "MiniMax/speech-2.8-hd",
       "iconUrl": "",
+      "prices": [
+        {
+          "priceUnit": "每次",
+          "price": "9.9",
+          "timeBand": "standard",
+          "type": "tts_vc_model",
+          "priceName": "声音复刻及声音设计"
+        },
+        {
+          "priceUnit": "每万字符",
+          "price": "3.5",
+          "timeBand": "standard",
+          "type": "cosy_tts_number",
+          "priceName": "语音合成"
+        }
+      ],
       "qpmInfo": {
         "model-default-actual": {
           "count_limit_period": 60,
@@ -91,6 +119,9 @@
           "type": "model-default"
         }
       },
+      "priceTimeBands": [
+        "standard"
+      ],
       "capabilities": [
         "TTS"
       ],
@@ -100,7 +131,6 @@
       "maxInputTokens": 10000,
       "inferenceProvider": "mini-max",
       "name": "speech-2.8-hd",
-      "predictConfig": [],
       "samples": {
         "dashscope": {
           "default": {
@@ -122,11 +152,24 @@
       "description": "MiniMax 语音大模型能够根据上下文，智能预测文本的情绪、语调等信息，并生成超自然、高保真、个性化的语音。在社交、播客、有声书、新闻资讯、教育、数字人等多种场景中展现出强大的实力。",
       "features": [],
       "provider": "mini-max",
-      "limit": {
-        "message": "model not exist"
-      },
       "model": "MiniMax/speech-02-turbo",
       "iconUrl": "",
+      "prices": [
+        {
+          "priceUnit": "每次",
+          "price": "9.9",
+          "timeBand": "standard",
+          "type": "tts_vc_model",
+          "priceName": "声音复刻及声音设计"
+        },
+        {
+          "priceUnit": "每万字符",
+          "price": "2",
+          "timeBand": "standard",
+          "type": "cosy_tts_number",
+          "priceName": "语音合成"
+        }
+      ],
       "qpmInfo": {
         "model-default-actual": {
           "count_limit_period": 60,
@@ -145,6 +188,9 @@
           "type": "model-default"
         }
       },
+      "priceTimeBands": [
+        "standard"
+      ],
       "capabilities": [
         "TTS"
       ],
@@ -154,7 +200,6 @@
       "maxInputTokens": 10000,
       "inferenceProvider": "mini-max",
       "name": "speech-02-turbo",
-      "predictConfig": [],
       "samples": {
         "dashscope": {
           "default": {
@@ -176,11 +221,24 @@
       "description": "MiniMax 语音大模型能够根据上下文，智能预测文本的情绪、语调等信息，并生成超自然、高保真、个性化的语音。在社交、播客、有声书、新闻资讯、教育、数字人等多种场景中展现出强大的实力。",
       "features": [],
       "provider": "mini-max",
-      "limit": {
-        "message": "model not exist"
-      },
       "model": "MiniMax/speech-02-hd",
       "iconUrl": "",
+      "prices": [
+        {
+          "priceUnit": "每次",
+          "price": "9.9",
+          "timeBand": "standard",
+          "type": "tts_vc_model",
+          "priceName": "声音复刻及声音设计"
+        },
+        {
+          "priceUnit": "每万字符",
+          "price": "3.5",
+          "timeBand": "standard",
+          "type": "cosy_tts_number",
+          "priceName": "语音合成"
+        }
+      ],
       "qpmInfo": {
         "model-default-actual": {
           "count_limit_period": 60,
@@ -199,6 +257,9 @@
           "type": "model-default"
         }
       },
+      "priceTimeBands": [
+        "standard"
+      ],
       "capabilities": [
         "TTS"
       ],
@@ -208,7 +269,6 @@
       "maxInputTokens": 10000,
       "inferenceProvider": "mini-max",
       "name": "speech-02-hd",
-      "predictConfig": [],
       "samples": {
         "dashscope": {
           "default": {

diff --git a/skills/bailian-docs-llm-wiki/models/groups/aitryon-parsing-v1.json b/skills/bailian-docs-llm-wiki/models/groups/aitryon-parsing-v1.json
@@ -14,49 +14,37 @@
       "description": "图片分割模型是AI试衣OutfitAnyone的辅助模型，可对模特图、服饰图进行分割，用于试衣图片的前后处理。",
       "features": [],
       "provider": "qwen",
-      "limit": {
-        "message": "model not exist"
-      },
       "model": "aitryon-parsing-v1",
+      "prices": [
+        {
+          "priceUnit": "每张",
+          "price": "0.004",
+          "timeBand": "standard",
+          "type": "image_detect_number",
+          "priceName": "图片检测"
+        }
+      ],
+      "priceTimeBands": [
+        "standard"
+      ],
       "capabilities": [
         "IG"
       ],
       "versionTag": "MAJOR",
       "latestOnlineAt": "2025-01-15T13:13:06.000+00:00",
-      "inferenceProvider": "bailian",
+      "offlineInfo": {
+        "inference": {
+          "announceUrl": "https://www.aliyun.com/notice/118434",
+          "offlineTime": "2026-10-10 00:00:00"
+        }
+      },
+      "inferenceProvider": "aliyun-bailian",
       "name": "AI试衣OutfitAnyone-图片分割",
       "docUrl": "https://help.aliyun.com/document_detail/2865249.html",
-      "predictConfig": [
-        {
-          "name": "system",
-          "key": "systemMessage",
-          "tip": "系统人设，例如“你是一个AI助手”。"
-        },
-        {
-          "name": "top_p",
-          "key": "top_p",
-          "default": 0.8,
-          "tip": "控制核采样方法的概率阈值，取值越大，生成的随机性越高。",
-          "range": [
-            0.0001,
-            1
-          ]
-        },
-        {
-          "name": "temperature",
-          "key": "temperature",
-          "default": 0.7,
-          "tip": "控制生成随机性和多样性，数值越高多样性越强，数值越低一致性越强，范围(0,2)。建议该参数和top_p只设置1个。",
-          "range": [
-            0,
-            1.9999
-          ]
-        }
-      ],
       "samples": {
         "dashscope": {
           "default": {
-            "curl": "curl --location 'https://ws-nckitja1d28cec5v.cn-beijing.maas.aliyuncs.com/api/v1/services/vision/image-process/process' \\\n--header 'Content-Type: application/json' \\\n--header \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n--data '{\n  \"model\": \"aitryon-parsing-v1\",\n  \"input\": {\n      \"image_url\":\"https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250630/bakbqz/aitryon_parse_model.png\"\n  },\n  \"parameters\": {\n      \"clothes_type\": [\"upper\"]\n  }\n}'"
+            "curl": "curl --location 'https://[workspace-id].cn-beijing.maas.aliyuncs.com/api/v1/services/vision/image-process/process' \\\n--header 'Content-Type: application/json' \\\n--header \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n--data '{\n  \"model\": \"aitryon-parsing-v1\",\n  \"input\": {\n      \"image_url\":\"https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250630/bakbqz/aitryon_parse_model.png\"\n  },\n  \"parameters\": {\n      \"clothes_type\": [\"upper\"]\n  }\n}'"
           }
         }
       }