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sn-image-doctor

面向 SenseNova-Skills 项目的环境诊断技能:检查 sn-image-base 是否安装、Python 依赖与环境变量是否就绪;对缺失的必需变量进行交互式提示并写入 .env,随后重载环境,失败时建议重启 agent,最终给出通过或失败的结论。

sensenova-skills
sensenova-skills
热度 24.51
最近更新 2026-09-11 11:36:07
分类:开发依赖:代码执行 / 读写文件应用场景:DevOps / 自动化脚本

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 sn-image-doctor
Metadata
name
sn-image-doctor
description
Environment diagnostic skill for SenseNova-Skills project. Checks that sn-image-base is properly installed and configured, validates dependencies and environment variables. Prompts user to configure missing required variables and saves them to .env file. After configuration, reloads environment and suggests agent restart if needed.
triggers
["SenseNova-Skills环境检查","SenseNova-Skills doctor","sn环境检查","sn-image-doctor","environment check","health check","诊断环境"]
metadata
{"project":"SenseNova-Skills","tier":0,"category":"infrastructure","user_visible":true}

sn-image-doctor

Overview

sn-image-doctor is an infrastructure skill (tier 0) that validates the SenseNova-Skills environment before running other skills. It ensures SenseNova-Skills project is properly installed and configured.

This skill performs comprehensive checks including:

  • Installation verification of SenseNova-Skills project
  • Python dependency validation
  • Environment variable configuration checks, with interactive prompts to configure missing required variables and save them to .env
  • Automatic environment reload after configuration changes, with agent restart suggestion if reload fails

Usage

Run the doctor check to validate your environment:

# Basic check
python scripts/check_environment.py

# Verbose output with detailed diagnostics
python scripts/check_environment.py --verbose

Output Format

Text Output

=== SenseNova-Skills Environment Check ===

[1/3] Checking sn-image-base installation...
  ✅ Installation looks good

[2/3] Checking Python dependencies...
  ✅ Python 3.11.0
  ✅ All required packages installed

[3/3] Checking environment variables...
  ❌ SN_IMAGE_GEN_API_KEY: Image generation API key is not set; configure SN_API_KEY, or configure SN_IMAGE_GEN_API_KEY only for an image-generation-specific override

  Some required environment variables are missing.
  Enter values below to save them to /path/to/.env.
  Press Enter to skip a variable.

  SN_API_KEY: <user input>

  ✅ Saved to /path/to/.env: SN_API_KEY
  🔄 Reloading environment...
  ✅ Environment reloaded successfully

=== Summary ===
✅ Environment is properly configured

If reload fails, the output will suggest restarting the agent:

  ✅ Saved to /path/to/.env: SN_API_KEY
  🔄 Reloading environment...
  ⚠️  Failed to reload environment: <error message>
  💡 Suggestion: Restart the agent to apply new configuration

Error Output

When checks fail:

=== SenseNova-Skills Environment Check ===

[1/3] Checking sn-image-base installation...
  ❌ sn-image-base directory not found
  Expected location: /path/to/skills/sn-image-base

[2/3] Checking Python dependencies...
  ❌ Missing packages: httpx, pillow
  Run: pip install -r skills/sn-image-base/requirements.txt

=== Summary ===
❌ Environment check failed
Please fix the errors above before using SenseNova-Skills.

Troubleshooting

sn-image-base Not Found

Problem: sn-image-base directory not found

Solution:

# Ensure you're in the project root
cd /path/to/SenseNova-Skills

# Verify the directory exists
ls -la skills/sn-image-base

Missing Dependencies

Problem: Required Python packages not installed

Solution:

# Install dependencies
pip install -r skills/sn-image-base/requirements.txt

# Or use a virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -r skills/sn-image-base/requirements.txt

Missing Environment Variables

Problem: Required environment variables not set

Solution:

# If all capabilities use the same gateway, set only the global values.
export SN_API_KEY="your-api-key"
export SN_BASE_URL="https://your-api-endpoint.com"

# Or create a .env file
cat > .env << EOF
SN_API_KEY=your-api-key
SN_BASE_URL=https://token.sensenova.cn/v1
SN_CHAT_TYPE=openai-completions
SN_CHAT_MODEL=sensenova-6.8-flash-lite
EOF

# Load .env file
source .env  # Or use a tool like python-dotenv

Fallback priority is capability-specific variable > domain shared variable > global variable. For example, text calls use SN_TEXT_API_KEY -> SN_CHAT_API_KEY -> SN_API_KEY; vision calls use SN_VISION_API_KEY -> SN_CHAT_API_KEY -> SN_API_KEY; image generation uses SN_IMAGE_GEN_API_KEY -> SN_API_KEY.

API Connectivity Issues

Problem: Cannot reach API endpoints

Solution:

  1. Verify network connectivity

  2. Check firewall settings

  3. Verify API endpoint URLs are correct

  4. Test with curl:

    curl -I https://your-api-endpoint.com
    

Integration with Other Skills

This skill is designed to be run before using other skills in the SenseNova-Skills project:

# 1. Run doctor check
python skills/sn-image-doctor/scripts/check_environment.py

# 2. If checks pass, use other skills
python skills/sn-image-base/scripts/sn_agent_runner.py sn-image-generate \
    --prompt "A beautiful landscape"

Command-Line Options

Option Description
--verbose Show detailed diagnostic information
--help Show help message

Exit Codes

Code Meaning
0 All checks passed
1 One or more checks failed

See Also

  • sn-image-base/SKILL.md - Base-layer skill documentation
  • sn-image-base/references/api_spec.md - API specification
  • sn-infographic/SKILL.md - Example of a skill that depends on sn-image-base