Is Caiyun Weather Safe?

Caiyun Weather — Nerq Trust Score 42.5/100 (E grade). Score based on 3 independent trust signals.

Caiyun Weather is a software tool with a Nerq Trust Score of 42.5/100 (E), based on 3 independent data dimensions. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: n/a. Machine-readable data (JSON).

Is Caiyun Weather safe?

Trust Score Breakdown — Caiyun Weather has a Nerq Trust Score of 42.5/100 (E). Measured across 3 independent trust signals.

Security Analysis → Caiyun Weather Privacy Report →

What is Caiyun Weather's trust score?

Caiyun Weather has a Nerq Trust Score of 42.5/100, earning a E grade. This score is based on 3 independently measured dimensions including security, maintenance, and community adoption.

Maintenance
0
Documentation
0
Popularity
0

What are the key security findings for Caiyun Weather?

Caiyun Weather's strongest signal is maintenance at 0/100. No known vulnerabilities have been detected.

Maintenance: 0/100 — low maintenance activity
Documentation: 0/100 — limited documentation
Popularity: 0/100 — 9 stars on pulsemcp

What is Caiyun Weather and who maintains it?

Authorhttps://github.com/marcusbai/caiyun-weather-mcp
CategoryWeather
Stars9
Sourcehttps://github.com/marcusbai/caiyun-weather-mcp

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What Is Caiyun Weather?

Caiyun Weather is a software tool in the weather category: Provides real-time weather data and forecasts for travel and outdoor activities.. It has 9 GitHub stars. Nerq Trust Score: 42/100 (E).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Caiyun Weather's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Caiyun Weather performs in each:

The overall Trust Score of 42.5/100 (E) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Caiyun Weather?

Caiyun Weather is commonly evaluated by:

How to read the signals: Caiyun Weather's measured signals (maintenance 0/100, documentation 0/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify Caiyun Weather's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Caiyun Weather's dependency tree.
  3. Review permissions — Understand what access Caiyun Weather requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Caiyun Weather in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=Caiyun Weather
  6. Review the license — Confirm that Caiyun Weather's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Caiyun Weather

When evaluating whether Caiyun Weather is safe, consider these category-specific risks:

Data handling

Understand how Caiyun Weather processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Caiyun Weather's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Caiyun Weather. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Caiyun Weather connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.

License and IP compliance

Verify that Caiyun Weather's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Caiyun Weather in violation of its license can expose your organization to legal liability.

Best Practices for Using Caiyun Weather Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Caiyun Weather while minimizing risk:

Conduct regular audits

Periodically review how Caiyun Weather is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Caiyun Weather and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Caiyun Weather only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Caiyun Weather's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Caiyun Weather is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Caiyun Weather

Nerq's signals are one input. In the following situations, evaluate Caiyun Weather's measured signals against your own requirements before making a decision:

For each situation, compare Caiyun Weather's measured trust score of 42.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Caiyun Weather is suitable for any particular use.

How Caiyun Weather Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among weather tools, the average Trust Score is 62/100. Caiyun Weather's score of 42.5/100 is below the category average of 62/100.

This suggests that Caiyun Weather trails behind many comparable weather tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Trust Score History

Nerq continuously monitors Caiyun Weather and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or maintenance patterns change, Caiyun Weather's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Caiyun Weather's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Caiyun Weather&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Caiyun Weather are strengthening or weakening over time.

Caiyun Weather vs Alternatives

In the weather category, Caiyun Weather scores 42.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is Caiyun Weather Safe?
Caiyun Weather with a Nerq Trust Score of 42.5/100 (E). Strongest signal: maintenance (0/100). Score based on Maintenance (0/100), Popularity (0/100), Documentation (0/100).
What is Caiyun Weather's trust score?
Caiyun Weather: 42.5/100 (E). Score based on Maintenance (0/100), Popularity (0/100), Documentation (0/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=Caiyun Weather
What are safer alternatives to Caiyun Weather?
In the Weather category, higher-rated alternatives include mcp-weather (62/100), WeatherXM PRO (42/100), HeFeng Weather (42/100). Caiyun Weather scores 42.5/100.
How often is Caiyun Weather's safety score updated?
Nerq recomputes Caiyun Weather's trust score as new data becomes available. Current: 42.5/100 (E). API: GET nerq.ai/v1/preflight?target=Caiyun Weather
Can I use Caiyun Weather in a regulated environment?
Caiyun Weather: 42.5/100 (E). Compliance signals are shown in the breakdown above. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.

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