Is Agentic 641Ea102 Safe?
Use Agentic 641Ea102 with some caution. Agentic 641Ea102 is a software tool with a Nerq Trust Score of 67.9/100 (C), based on 5 independent data dimensions. It is below the recommended threshold of 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-24. Machine-readable data (JSON).
Is Agentic 641Ea102 safe?
CAUTION — Agentic 641Ea102 has a Nerq Trust Score of 67.9/100 (C). 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.
Trust Score Breakdown
Key Findings
Details
| Author | Design-Arena-Gens |
| Category | coding |
| Source | https://github.com/Design-Arena-Gens/agentic-641ea102 |
| Frameworks | autogen |
| Protocols | rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
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What Is Agentic 641Ea102?
Agentic 641Ea102 is a software tool in the coding category: AI-generated project created by Agentic CLI.. Nerq Trust Score: 68/100 (C).
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 Agentic 641Ea102's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Agentic 641Ea102 performs in each:
- Security (0/100): Agentic 641Ea102's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Agentic 641Ea102 is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Agentic 641Ea102 is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 67.9/100 (C) 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 Agentic 641Ea102?
Agentic 641Ea102 is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Agentic 641Ea102 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 Agentic 641Ea102'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's 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 Agentic 641Ea102's dependency tree. - Review permissions — Understand what access Agentic 641Ea102 requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agentic 641Ea102 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=agentic-641ea102 - Review the license — Confirm that Agentic 641Ea102'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 Agentic 641Ea102
When evaluating whether Agentic 641Ea102 is safe, consider these category-specific risks:
Understand how Agentic 641Ea102 processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agentic 641Ea102's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Agentic 641Ea102. Security patches and bug fixes are only effective if you're running the latest version.
If Agentic 641Ea102 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 Agentic 641Ea102's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Agentic 641Ea102 in violation of its license can expose your organization to legal liability.
Agentic 641Ea102 and the EU AI Act
Agentic 641Ea102 is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.
Nerq's compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.
Best Practices for Using Agentic 641Ea102 Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agentic 641Ea102 while minimizing risk:
Periodically review how Agentic 641Ea102 is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Agentic 641Ea102 and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Agentic 641Ea102 only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agentic 641Ea102's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Agentic 641Ea102 is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Agentic 641Ea102?
Even promising tools aren't right for every situation. Consider avoiding Agentic 641Ea102 in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Agentic 641Ea102's trust score of 67.9/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Agentic 641Ea102 Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Agentic 641Ea102's score of 67.9/100 is above the category average of 62/100.
This positions Agentic 641Ea102 favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.
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 Agentic 641Ea102 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, Agentic 641Ea102'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 Agentic 641Ea102's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agentic-641ea102&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 Agentic 641Ea102 are strengthening or weakening over time.
Agentic 641Ea102 vs Alternatives
In the coding category, Agentic 641Ea102 scores 67.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Agentic 641Ea102 vs AutoGPT — Trust Score: 74.7/100
- Agentic 641Ea102 vs ollama — Trust Score: 73.8/100
- Agentic 641Ea102 vs langchain — Trust Score: 86.4/100
Key Takeaways
- Agentic 641Ea102 has a Trust Score of 67.9/100 (C) and is not yet Nerq Verified.
- Agentic 641Ea102 shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Agentic 641Ea102 scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.