Is ๐Ÿฆ… Eagleeye Safe?

๐Ÿฆ… Eagleeye โ€” Nerq Trust Score 40.0/100 (E grade). Based on analysis of 5 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-12.

Exercise caution with ๐Ÿฆ… Eagleeye. ๐Ÿฆ… Eagleeye is a software tool with a Nerq Trust Score of 40.0/100 (E). Below the recommended threshold of 70. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-05-12. Machine-readable data (JSON).

Is ๐Ÿฆ… Eagleeye safe?

NO โ€” USE WITH CAUTION โ€” ๐Ÿฆ… Eagleeye has a Nerq Trust Score of 40.0/100 (E). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.

Security Analysis → ๐Ÿฆ… Eagleeye Privacy Report →

What is ๐Ÿฆ… Eagleeye's trust score?

๐Ÿฆ… Eagleeye has a Nerq Trust Score of 40.0/100, earning a E grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Overall Trust
40.0

What are the key security findings for ๐Ÿฆ… Eagleeye?

๐Ÿฆ… Eagleeye's strongest signal is overall trust at 40.0/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Composite trust score: 40.0/100 across all available signals

What is ๐Ÿฆ… Eagleeye and who maintains it?

Author0x133c89bc9dc375fbc46493a92f4fd2486f8f0d76
CategoryUncategorized
Sourcehttps://8004scan.io/agents/๐Ÿฆ…-eagleeye

What Is ๐Ÿฆ… Eagleeye?

๐Ÿฆ… Eagleeye is a software tool in the uncategorized category: ๐Ÿฆ… EagleEye โ€” Silver Tier AI Trading Agent on GemBots Arena. Strategy: Whale Watching. Model: DeepSeek R1. Win Rate: 42% across 59 battles. ELO: 1141. ๐ŸŒŸ Genesis Collection โ€” one of the first 100 agents. Verified on-chain: https://bscscan.com/address/0x9bC5f392cE8C7aA13BD5bC7D5A1A12A4DD58b3D5. Nerq Trust Score: 40/100 (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 ๐Ÿฆ… Eagleeye's Safety

Nerq evaluates every software tool across 13+ independent trust signals drawn from public sources including GitHub, NVD, OSV.dev, OpenSSF Scorecard, and package registries. These signals are grouped into five core dimensions: Security (known CVEs, dependency vulnerabilities, security policies), Maintenance (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 jurisdictions), and Community (stars, forks, downloads, ecosystem integrations).

๐Ÿฆ… Eagleeye receives an overall Trust Score of 40.0/100 (E), which Nerq considers low. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=๐Ÿฆ… EagleEye

Each dimension is weighted according to its importance for the tool's category. For example, Security and Maintenance carry higher weight for tools that handle sensitive data or execute code, while Community and Documentation are weighted more heavily for developer-facing libraries and frameworks. This ensures that ๐Ÿฆ… Eagleeye's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five dimensions, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).

Who Should Use ๐Ÿฆ… Eagleeye?

๐Ÿฆ… Eagleeye is designed for:

Risk guidance: We recommend caution with ๐Ÿฆ… Eagleeye. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify ๐Ÿฆ… Eagleeye's Safety Yourself

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

  1. Check the source code โ€” Review the repository security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies โ€” Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in ๐Ÿฆ… Eagleeye's dependency tree.
  3. Review permissions โ€” Understand what access ๐Ÿฆ… Eagleeye requires. Software tools should follow the principle of least privilege.
  4. Test in isolation โ€” Run ๐Ÿฆ… Eagleeye in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously โ€” Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=๐Ÿฆ… EagleEye
  6. Review the license โ€” Confirm that ๐Ÿฆ… Eagleeye'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 โ€” 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 ๐Ÿฆ… Eagleeye

When evaluating whether ๐Ÿฆ… Eagleeye is safe, consider these category-specific risks:

Data handling

Understand how ๐Ÿฆ… Eagleeye 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 ๐Ÿฆ… Eagleeye's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to ๐Ÿฆ… Eagleeye. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If ๐Ÿฆ… Eagleeye 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 ๐Ÿฆ… Eagleeye's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using ๐Ÿฆ… Eagleeye in violation of its license can expose your organization to legal liability.

Best Practices for Using ๐Ÿฆ… Eagleeye Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from ๐Ÿฆ… Eagleeye while minimizing risk:

Conduct regular audits

Periodically review how ๐Ÿฆ… Eagleeye is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure ๐Ÿฆ… Eagleeye and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant ๐Ÿฆ… Eagleeye only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to ๐Ÿฆ… Eagleeye'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 ๐Ÿฆ… Eagleeye is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid ๐Ÿฆ… Eagleeye?

Even promising tools aren't right for every situation. Consider avoiding ๐Ÿฆ… Eagleeye in these scenarios:

For each scenario, evaluate whether ๐Ÿฆ… Eagleeye's trust score of 40.0/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How ๐Ÿฆ… Eagleeye 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. ๐Ÿฆ… Eagleeye's score of 40.0/100 is below the category average of 62/100.

This suggests that ๐Ÿฆ… Eagleeye 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 โ€” 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 ๐Ÿฆ… Eagleeye 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, ๐Ÿฆ… Eagleeye'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 ๐Ÿฆ… Eagleeye's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=๐Ÿฆ… EagleEye&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 โ€” security, maintenance, documentation, compliance, and community โ€” has evolved independently, providing granular visibility into which aspects of ๐Ÿฆ… Eagleeye are strengthening or weakening over time.

Key Takeaways

What data does ๐Ÿฆ… Eagleeye collect?

Privacy assessment for ๐Ÿฆ… Eagleeye is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

Is ๐Ÿฆ… Eagleeye secure?

Security score: under assessment. Review security practices and consider alternatives with higher security scores for sensitive use cases.

Nerq monitors this entity against NVD, OSV.dev, and registry-specific vulnerability databases for ongoing security assessment.

Full analysis: ๐Ÿฆ… Eagleeye Security Report

How we calculated this score

๐Ÿฆ… Eagleeye's trust score of 40.0/100 (E) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 0 independent dimensions: . Each dimension is weighted equally to produce the composite trust score.

Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.

This page was last reviewed on May 12, 2026. Data version: 1.0.

Full methodology documentation ยท Machine-readable data (JSON API)

Frequently Asked Questions

Is ๐Ÿฆ… Eagleeye Safe?
Exercise caution. ๐Ÿฆ… EagleEye with a Nerq Trust Score of 40.0/100 (E). Strongest signal: overall trust (40.0/100). Score based on multiple trust dimensions.
What is ๐Ÿฆ… Eagleeye's trust score?
๐Ÿฆ… EagleEye: 40.0/100 (E). Score based on multiple trust dimensions. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=๐Ÿฆ… EagleEye
What are safer alternatives to ๐Ÿฆ… Eagleeye?
In the Uncategorized category, more software tools are being analyzed โ€” check back soon. ๐Ÿฆ… EagleEye scores 40.0/100.
How often is ๐Ÿฆ… Eagleeye's safety score updated?
Nerq continuously monitors ๐Ÿฆ… Eagleeye and updates its trust score as new data becomes available. Current: 40.0/100 (E), last verified 2026-05-12. API: GET nerq.ai/v1/preflight?target=๐Ÿฆ… EagleEye
Can I use ๐Ÿฆ… Eagleeye in a regulated environment?
๐Ÿฆ… Eagleeye has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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