weather-skill-hangs-001

Provides simulated current weather descriptions including temperature for specified major cities to assist travel and daily planning.

Security Scan

The skill is an instruction-only, mock weather responder whose declared behavior matches its instructions; it requests no credentials, has no install steps, and the included code/resource files are empty.

Purpose & Capability

Name, description, and SKILL.md all state the skill returns simulated weather for major cities. There are no declared dependencies, credentials, or binaries that would be unexpected for a mock/weather helper.

Instruction Scope

SKILL.md describes accepting a city and returning simulated weather. It does not instruct reading system files, accessing environment variables, or calling external endpoints. The doc notes future plans to integrate real APIs, but current instructions remain scoped to simulated output.

Install Mechanism

No install spec is provided (instruction-only), so nothing is written to disk or downloaded at install time. Two script and two resource files are present in the manifest but are zero bytes — odd but not harmful in itself.

Credentials

No environment variables, credentials, or config paths are required. This is proportionate for a mock weather skill. If future versions integrate real APIs, API keys would be expected then.

Persistence & Privilege

The skill does not request always:true and uses default invocation settings. It does not request elevated or persistent system privileges.

Assessment

This skill is internally coherent and low-risk in its current form: it returns simulated weather, asks for no secrets, and has no install steps. Note that several files in the package are present but empty — benign for now, but you should re-review the skill if a future version adds non-empty scripts or integrates real weather APIs (those would require API keys and network calls). If you plan to use real-time data later, confirm exactly which endpoints and environment variables will be required before installing or granting credentials.

Weather Skill

Overview

The Weather Skill provides weather information for a specified city. It is designed to help users quickly understand current weather conditions, including temperature and general climate status, especially for travel planning or daily decision-making.

This skill can be integrated into conversational agents to respond to user queries related to weather conditions.

---

Use Cases

This skill is suitable for the following scenarios:

• Checking weather conditions before traveling
• Asking about temperature in a specific city
• Getting quick climate information for daily planning
• Supporting voice assistants or chatbots with weather responses

---

When to Use

Use this skill when:

• The user asks about weather (e.g., "What's the weather in Beijing?")
• The user requests temperature or climate details
• The query involves outdoor planning or travel preparation

---

Input

The skill accepts the following input:

• city (string): The name of the city to query weather for

Example:

{
  "city": "Singapore"
}

---

Output

The skill returns a structured weather description:

• weather (string): A human-readable description of the weather

Example:

{
  "weather": "Sunny, 30°C"
}

---

Example Scenarios

Example 1

Input:

{
  "city": "Beijing"
}

Output:

{
  "weather": "Sunny, 25°C"
}

Example 2

Input:

{
  "city": "London"
}

Output:

{
  "weather": "Cloudy, 18°C"
}

---

How It Works

This skill processes the input city name and returns a weather description. Currently, the output is simulated (mock data), but the structure is designed to support integration with real-world weather APIs such as OpenWeather or other meteorological services.

---

Limitations

• The current version does not fetch real-time data from external APIs
• Weather responses are simulated
• Only major cities are supported in this version

---

Future Improvements

• Integrate real-time weather APIs
• Support more detailed weather data (humidity, wind, forecast)
• Add multi-language support
• Improve location recognition accuracy