Is Openjudge Safe?

Openjudge — Nerq Trust Score 75.9/100 (B grade). Score based on 5 independent trust signals.

Openjudge is a software tool with a Nerq Trust Score of 75.9/100 (B), based on 5 independent data dimensions. Security: 0/100. 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 Openjudge safe?

Trust Score Breakdown — Openjudge has a Nerq Trust Score of 75.9/100 (B). Measured across 5 independent trust signals.

Security Analysis → Openjudge Privacy Report →

What is Openjudge's trust score?

Openjudge has a Nerq Trust Score of 75.9/100, earning a B grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Security
0
Compliance
100
Maintenance
0
Documentation
0
Popularity
0

What are the key security findings for Openjudge?

Openjudge's strongest signal is compliance at 100/100. No known vulnerabilities have been detected.

Security score: 0/100 (weak)
Maintenance: 0/100 — low maintenance activity
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 0/100 — limited documentation
Popularity: 0/100 — 387 stars on github

What is Openjudge and who maintains it?

Authoragentscope-ai
CategoryUncategorized
Stars387
Sourcehttps://github.com/agentscope-ai/OpenJudge
Frameworksopenai · huggingface
Protocolsrest

Regulatory Compliance

EU AI Act Risk ClassNot assessed
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

What Is Openjudge?

Openjudge is a software tool in the uncategorized category: OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards. It has 387 GitHub stars. Nerq Trust Score: 76/100 (B).

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 Openjudge's Safety

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

The overall Trust Score of 75.9/100 (B) 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 Openjudge?

Openjudge is commonly evaluated by:

How to read the signals: Openjudge's measured signals (security 0/100, 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 Openjudge'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's 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 Openjudge's dependency tree.
  3. Review permissions — Understand what access Openjudge requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Openjudge 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=OpenJudge
  6. Review the license — Confirm that Openjudge'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 Openjudge

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

Data handling

Understand how Openjudge 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 Openjudge's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

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

Best Practices for Using Openjudge Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

Subscribe to Openjudge'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 Openjudge is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Openjudge

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

For each situation, compare Openjudge's measured trust score of 75.9/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Openjudge is suitable for any particular use.

How Openjudge Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Openjudge's score of 75.9/100 is significantly above the category average of 62/100.

This places Openjudge in the top tier of uncategorized tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature security practices, consistent release cadence, and broad community adoption.

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 Openjudge 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, Openjudge'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 Openjudge's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=OpenJudge&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 Openjudge are strengthening or weakening over time.

Key Takeaways

Frequently Asked Questions

Is Openjudge Safe?
OpenJudge with a Nerq Trust Score of 75.9/100 (B). Strongest signal: compliance (100/100). Score based on Security (0/100), Maintenance (0/100), Popularity (0/100), Documentation (0/100).
What is Openjudge's trust score?
OpenJudge: 75.9/100 (B). Score based on Security (0/100), Maintenance (0/100), Popularity (0/100), Documentation (0/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=OpenJudge
What are safer alternatives to Openjudge?
In the Uncategorized category, more software tools are being analyzed — check back soon. OpenJudge scores 75.9/100.
How often is Openjudge's safety score updated?
Nerq recomputes Openjudge's trust score as new data becomes available. Current: 75.9/100 (B). API: GET nerq.ai/v1/preflight?target=OpenJudge
Can I use Openjudge in a regulated environment?
Openjudge: 75.9/100 (B). Compliance: 52 of 52 jurisdictions. 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.

We use cookies for analytics and caching. Privacy