[Docs] Update readme and merge release 1.6 (#851)

Author: wangxingjun778

README.md

@@ -54,6 +54,13 @@ MS-Agent is a lightweight framework designed to empower agents with autonomous e
 
 ## 🎉 News
 
+* 🚀 Feb 04, 2026: Release MS-Agent v1.6.0rc0, which includes the following updates:
+  - **Code Genesis** for complex code generation tasks, refer to [Code Genesis](https://github.com/modelscope/ms-agent/tree/main/projects/code_genesis)
+  - **Singularity Cinema** for animated video generation workflow, refactored version, refer to [Singularity Cinema](https://github.com/modelscope/ms-agent/tree/main/projects/singularity_cinema)
+  - **New framework of Skills**: New design of the skills system to enhance robustness and extensibility. Refer to [MS-Agent Skills](https://github.com/modelscope/ms-agent/tree/main/ms_agent/skill).
+  - **WebUI**: A new WebUI has been added, featuring agentic chatting capabilities, complex code generation and video generation workflow.
+
+
 * 🎬 Nov 13, 2025: Release Singularity Cinema, to support short video generation for complex scenarios, check [here](projects/singularity_cinema/README_EN.md)
 
 * 🚀 Nov 12, 2025: Release MS-Agent v1.5.0, which includes the following updates:
@@ -82,6 +89,8 @@ MS-Agent is a lightweight framework designed to empower agents with autonomous e
   - DocResearch now supports exporting the Markdown report to `HTML`、`PDF`、`PPTX` and `DOCX` formats, refer to [Doc Research](projects/doc_research/README.md) for more details.
   - DocResearch now supports `TXT` file processing and file preprocessing, refer to [Doc Research](projects/doc_research/README.md) for more details.
 
+
+<details><summary>Archive</summary>
 * 🚀 July 31, 2025: Release MS-Agent v1.1.0, which includes the following updates:
   - 🔥 Support [Doc Research](projects/doc_research/README.md), demo: [DocResearchStudio](https://modelscope.cn/studios/ms-agent/DocResearch)
   - Add `General Web Search Engine` for Agentic Insight (DeepResearch)
@@ -94,10 +103,6 @@ MS-Agent is a lightweight framework designed to empower agents with autonomous e
   - Support for Deep Research (Agentic Insight), refer to: [Report_Demo](projects/deep_research/examples/task_20250617a/report.md), [Script_Demo](projects/deep_research/run.py)
   - Support for [MCP-Playground](https://modelscope.cn/mcp/playground)
   - Add callback mechanism for Agent chat
-
-
-<details><summary>Archive</summary>
-
 * 🔥🔥🔥Aug 8, 2024: A new graph based code generation tool [CodexGraph](https://arxiv.org/abs/2408.03910) is released by Modelscope-Agent, it has been proved effective and versatile on various code related tasks, please check [example](https://github.com/modelscope/modelscope-agent/tree/master/apps/codexgraph_agent).
 * 🔥🔥Aug 1, 2024: A high efficient and reliable Data Science Assistant is running on Modelscope-Agent, please find detail in [example](https://github.com/modelscope/modelscope-agent/tree/master/apps/datascience_assistant).
 * 🔥July 17, 2024: Parallel tool calling on Modelscope-Agent-Server, please find detail in [doc](https://github.com/modelscope/modelscope-agent/blob/master/modelscope_agent_servers/README.md).
@@ -263,6 +268,40 @@ asyncio.run(main())
 </details>
 
 
+### Agent Skills
+
+The **MS-Agent Skill Module** is **Implementation** of [Anthropic-Agent-Skills](https://platform.claude.com/docs/en/agents-and-tools/agent-skills) Protocol.
+
+#### 🔍 Intelligent Skill Retrieval
+- **Hybrid Search**: Combines FAISS dense retrieval with BM25 sparse retrieval
+- **LLM-based Filtering**: Uses LLM to filter and validate skill relevance
+- **Query Analysis**: Automatically determines if skills are needed for a query
+
+#### 📊 DAG-based Execution
+- **Dependency Management**: Builds execution DAG based on skill dependencies
+- **Parallel Execution**: Runs independent skills concurrently
+- **Input/Output Linking**: Automatically passes outputs between dependent skills
+
+#### 🧠 Progressive Skill Analysis
+- **Two-phase Analysis**: Plan first, then load resources
+- **Incremental Loading**: Only loads required scripts/references/resources
+- **Context Optimization**: Minimizes token usage while maximizing understanding
+- **Auto Bug Fixing**: Analyzes errors and attempts automatic fixes
+
+#### 🔒 Secure Execution Environment
+- **Docker Sandbox**: Isolated execution using [ms-enclave](https://github.com/modelscope/ms-enclave) containers
+- **Local Execution**: Controlled local execution with RCE prevention
+- **Security Checks**: Pattern-based detection of dangerous code
+
+#### 🔄 Self-Reflection & Retry
+- **Error Analysis**: LLM-based analysis of execution failures
+- **Auto-Fix**: Attempts to fix code based on error messages
+- **Configurable Retries**: Up to N retry attempts with fixes
+
+
+For more details, please refer to [**MS-Agent Skills**](ms_agent/skill/README.md).
+
+
 ### Agentic Insight
 
 #### - Lightweight, Efficient, and Extensible Multi-modal Deep Research Framework

ms_agent/skill/README.md

@@ -49,6 +49,7 @@ The **MS-Agent Skill Module** is **Implementation** of [Anthropic-Agent-Skills](
 - **Two-phase Analysis**: Plan first, then load resources
 - **Incremental Loading**: Only loads required scripts/references/resources
 - **Context Optimization**: Minimizes token usage while maximizing understanding
+- **Auto Bug Fixing**: Analyzes errors and attempts automatic fixes
 
 ### 🔒 Secure Execution Environment
 - **Docker Sandbox**: Isolated execution using [ms-enclave](https://github.com/modelscope/ms-enclave) containers

ms_agent/tools/tool_manager.py

@@ -14,7 +14,6 @@
 from ms_agent.tools.base import ToolBase
 from ms_agent.tools.code import CodeExecutionTool, LocalCodeExecutionTool
 from ms_agent.tools.filesystem_tool import FileSystemTool
-from ms_agent.tools.findata.findata_fetcher import FinancialDataFetcher
 from ms_agent.tools.image_generator import ImageGenerator
 from ms_agent.tools.mcp_client import MCPClient
 from ms_agent.tools.shell.shell import Shell
@@ -77,6 +76,7 @@ def __init__(self,
                 self.extra_tools.append(CodeExecutionTool(config))
         if hasattr(config, 'tools') and hasattr(config.tools,
                                                 'financial_data_fetcher'):
+            from ms_agent.tools.findata.findata_fetcher import FinancialDataFetcher
             self.extra_tools.append(FinancialDataFetcher(config))
         if hasattr(config, 'tools') and getattr(config.tools, 'agent_tools',
                                                 None):

requirements/research.txt

@@ -9,6 +9,7 @@ markdown
 mcp
 modelscope
 openai
+pandas
 Pillow
 python-dotenv
 requests

requirements/webui.txt

@@ -1,5 +1,4 @@
 aiohttp
 fastapi
 pandas
-uvicorn
 uvicorn[standard]