Is Nearley Indentify Safe? — Trust Score: 57.8/100

According to Nerq's independent analysis of @shieldsbetter/nearley-indentify, this uncategorized has a trust score of 57.8 out of 100, earning a D grade. With 0 stars on npm_full, it is below the recommended threshold of 70. Compliance: 100/100 across 52 jurisdictions. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-18. Machine-readable data (JSON).

@shieldsbetter/nearley-indentify has a Nerq Trust Score of 57.8/100 (D). Not yet Nerq Verified (requires 70+). Its strongest signal is compliance (100/100). Compliance: 52 of 52 jurisdictions. Last verified: 2026-03-18.

Is Nearley Indentify safe?

CAUTION — Nearley Indentify has a Nerq Trust Score of 57.8/100 (D). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.

57.8
out of 100
D uncategorized npm_full

Trust Assessment

Moderate — @shieldsbetter/nearley-indentify shows mixed trust signals. Some areas are strong while others could be improved. We recommend reviewing the full KYA (Know Your Agent) report before integrating it into production workflows.

Trust Signal Breakdown

Compliance
100
Regulatory alignment. EU AI Act risk class: N/A.

Details

Authorshieldsbetter
Categoryuncategorized
Stars0
Sourcehttps://www.npmjs.com/package/@shieldsbetter/nearley-indentify

Regulatory Compliance

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

Community Reviews

No reviews yet. Be the first to review @shieldsbetter/nearley-indentify.

What Is Nearley Indentify?

Nearley Indentify is a AI tool in the uncategorized category. Adapts Nearley-compatible lexers to generate indent/dedent events.

As of March 2026, Nearley Indentify is available on npm_full, making it an emerging tool in the AI ecosystem. But popularity alone does not equal safety — which is why Nerq independently analyzes every tool across 13+ trust signals.

How Nerq Assesses Nearley Indentify's Safety

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

The overall Trust Score of 57.8/100 (D) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Who Should Use Nearley Indentify?

Nearley Indentify is designed for:

Risk guidance: Nearley Indentify is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Nearley Indentify's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any AI 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 Nearley Indentify's dependency tree.
  3. Review permissions — Understand what access Nearley Indentify requires. AI tools should follow the principle of least privilege.
  4. Test in isolation — Run Nearley Indentify 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=@shieldsbetter/nearley-indentify
  6. Review the license — Confirm that Nearley Indentify'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 Nearley Indentify

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

Data handling

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

Update frequency

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

Third-party integrations

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

Best Practices for Using Nearley Indentify Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

When Should You Avoid Nearley Indentify?

Even promising tools aren't right for every situation. Consider avoiding Nearley Indentify in these scenarios:

For each scenario, evaluate whether Nearley Indentify's trust score of 57.8/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Nearley Indentify Compares to Industry Standards

Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Nearley Indentify's score of 57.8/100 is near the category average of 62/100.

This places Nearley Indentify in line with the typical uncategorized tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.

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 Nearley Indentify 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, Nearley Indentify'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 Nearley Indentify's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=@shieldsbetter/nearley-indentify&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 Nearley Indentify are strengthening or weakening over time.

Key Takeaways

Frequently Asked Questions

Is @shieldsbetter/nearley-indentify safe to use?
@shieldsbetter/nearley-indentify has a Nerq Trust Score of 57.8/100, earning a D grade. Moderate — @shieldsbetter/nearley-indentify shows mixed trust signals. Some areas are strong while others could be improved. We recommend reviewing the full KYA (Know Your Agent) report before integrating it into production workflows. Its strongest signal is compliance (100/100). It has not yet reached the Nerq Verified threshold of 70. Always review the full KYA report before using any AI agent in production.
What is @shieldsbetter/nearley-indentify's trust score?
Nerq assigns @shieldsbetter/nearley-indentify a trust score of 57.8 out of 100, with a grade of D. This score is computed from multiple dimensions including security, compliance, maintenance activity, documentation quality, and community adoption (0 stars). Compliance score: 100/100. Scores are updated daily based on the latest publicly available signals.
Are there safer alternatives to @shieldsbetter/nearley-indentify?
In the uncategorized category, no higher-rated alternatives were found — this is among the top-rated agents. @shieldsbetter/nearley-indentify scores 57.8/100. When choosing between agents, consider your specific requirements for security (N/A), maintenance activity (N/A), and documentation (N/A). Use Nerq's comparison tools or the KYA endpoint for detailed side-by-side analysis.
How often is Nearley Indentify's safety score updated?
Nerq continuously monitors Nearley Indentify and updates its trust score as new data becomes available. The system ingests signals from 13+ independent sources including GitHub, NVD (National Vulnerability Database), OSV.dev, OpenSSF Scorecard, and major package registries (npm, PyPI). When a new CVE is disclosed, a dependency is updated, or commit activity changes, the score adjusts automatically. For the most current score, query the Nerq API: GET nerq.ai/v1/preflight?target=@shieldsbetter/nearley-indentify. The current assessment (57.8/100, D) was last verified on 2026-03-18.
Can I use Nearley Indentify in a regulated environment?
Nearley Indentify has not yet reached the Nerq Verified threshold of 70, which means additional due diligence is recommended for regulated environments. Nerq assesses compliance across 52 jurisdictions. Nearley Indentify has a compliance score of 100/100. For organizations in regulated industries (healthcare, finance, government), we recommend combining the Nerq Trust Score with your internal security review process, vendor risk assessment, and legal compliance check before deployment.

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