Is Vision Relay Safe?
Vision Relay — Nerq Trust Score 38.0/100 (E grade). Score based on 3 independent trust signals.
Vision Relay is a software tool with a Nerq Trust Score of 38.0/100 (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 Vision Relay safe?
Trust Score Breakdown — Vision Relay has a Nerq Trust Score of 38.0/100 (E). Measured across 3 independent trust signals.
What is Vision Relay's trust score?
Vision Relay has a Nerq Trust Score of 38.0/100, earning a E grade. This score is based on 3 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Vision Relay?
Vision Relay's strongest signal is maintenance at 0/100. No known vulnerabilities have been detected.
What is Vision Relay and who maintains it?
| Author | https://github.com/ah-wq/mcp-vision-relay |
| Category | Other |
| Stars | 3 |
| Source | https://github.com/ah-wq/mcp-vision-relay |
Popular Alternatives in other
What Is Vision Relay?
Vision Relay is a software tool in the other category: Vision Relay bridges Google Gemini and Alibaba Qwen vision models for image analysis.. It has 3 GitHub stars. Nerq Trust Score: 38/100 (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 Vision Relay's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Vision Relay performs in each:
- Maintenance (0/100): Vision Relay is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 38.0/100 (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 Vision Relay?
Vision Relay is commonly evaluated by:
- Developers and teams working with other tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Vision Relay'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 Vision Relay's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Vision Relay's dependency tree. - Review permissions — Understand what access Vision Relay requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Vision Relay in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=Vision Relay - Review the license — Confirm that Vision Relay'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.
- 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 Vision Relay
When evaluating whether Vision Relay is safe, consider these category-specific risks:
Understand how Vision Relay processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Vision Relay's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Vision Relay. Security patches and bug fixes are only effective if you're running the latest version.
If Vision Relay 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.
Verify that Vision Relay's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Vision Relay in violation of its license can expose your organization to legal liability.
Best Practices for Using Vision Relay Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Vision Relay while minimizing risk:
Periodically review how Vision Relay is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Vision Relay and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Vision Relay only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Vision Relay's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Vision Relay is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Vision Relay
Nerq's signals are one input. In the following situations, evaluate Vision Relay's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Vision Relay's measured trust score of 38.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Vision Relay is suitable for any particular use.
How Vision Relay Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among other tools, the average Trust Score is 62/100. Vision Relay's score of 38.0/100 is below the category average of 62/100.
This suggests that Vision Relay trails behind many comparable other 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 Vision Relay 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, Vision Relay'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 Vision Relay's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Vision Relay&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 Vision Relay are strengthening or weakening over time.
Vision Relay vs Alternatives
In the other category, Vision Relay scores 38.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Vision Relay vs cs-video-courses — Trust Score: 59.9/100
- Vision Relay vs awesome-scalability — Trust Score: 59.4/100
- Vision Relay vs superpowers — Trust Score: 62.4/100
Key Takeaways
- Vision Relay has a measured Nerq Trust Score of 38.0/100 (E) — a composite of independent signals, not a suitability judgment.
- Among other tools, Vision Relay scores below the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — security, maintenance, documentation, compliance, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Frequently Asked Questions
Is Vision Relay Safe?
What is Vision Relay's trust score?
What are safer alternatives to Vision Relay?
How often is Vision Relay's safety score updated?
Can I use Vision Relay in a regulated environment?
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.