Is Jobrecommender Safe?

Jobrecommender — Nerq Trust Score 50.6/100 (D grade). Score based on 1 independent trust signals.

Jobrecommender is a software tool with a Nerq Trust Score of 50.6/100 (D), based on 3 independent data dimensions. 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 Jobrecommender safe?

Trust Score Breakdown — Jobrecommender has a Nerq Trust Score of 50.6/100 (D). Measured across 1 independent trust signal.

Security Analysis → Jobrecommender Privacy Report →

What is Jobrecommender's trust score?

Jobrecommender has a Nerq Trust Score of 50.6/100, earning a D grade. This score is based on 1 independently measured dimensions including security, maintenance, and community adoption.

Compliance
100

What are the key security findings for Jobrecommender?

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

Compliance: 100/100 — covers 52 of 52 jurisdictions

What is Jobrecommender and who maintains it?

Authorhfariborzi
CategoryUncategorized
Sourcehttps://huggingface.co/spaces/hfariborzi/jobrecommender
Protocolshuggingface_hub

Regulatory Compliance

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

What Is Jobrecommender?

Jobrecommender is a software tool in the uncategorized category available on huggingface_space_full. Nerq Trust Score: 51/100 (D).

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 Jobrecommender's Safety

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

The overall Trust Score of 50.6/100 (D) 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 Jobrecommender?

Jobrecommender is commonly evaluated by:

How to read the signals: Jobrecommender's measured signals (the trust signals above) 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 Jobrecommender'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 Jobrecommender's dependency tree.
  3. Review permissions — Understand what access Jobrecommender requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Jobrecommender 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=jobrecommender
  6. Review the license — Confirm that Jobrecommender'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 Jobrecommender

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

Data handling

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

Update frequency

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

Third-party integrations

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

Best Practices for Using Jobrecommender Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

Situations That Warrant Independent Review of Jobrecommender

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

For each situation, compare Jobrecommender's measured trust score of 50.6/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Jobrecommender is suitable for any particular use.

How Jobrecommender 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. Jobrecommender's score of 50.6/100 is below the category average of 62/100.

This suggests that Jobrecommender trails behind many comparable uncategorized 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 Jobrecommender 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, Jobrecommender'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 Jobrecommender's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=jobrecommender&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 Jobrecommender are strengthening or weakening over time.

Key Takeaways

Frequently Asked Questions

Is Jobrecommender Safe?
jobrecommender with a Nerq Trust Score of 50.6/100 (D). Strongest signal: compliance (100/100). Score based on multiple trust dimensions.
What is Jobrecommender's trust score?
jobrecommender: 50.6/100 (D). Score based on multiple trust dimensions. Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=jobrecommender
What are safer alternatives to Jobrecommender?
In the Uncategorized category, more software tools are being analyzed — check back soon. jobrecommender scores 50.6/100.
How often is Jobrecommender's safety score updated?
Nerq recomputes Jobrecommender's trust score as new data becomes available. Current: 50.6/100 (D). API: GET nerq.ai/v1/preflight?target=jobrecommender
Can I use Jobrecommender in a regulated environment?
Jobrecommender: 50.6/100 (D). 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.

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