Is Githubagentpush Dangerous Projects 1 Safe?
Githubagentpush Dangerous Projects 1 — Nerq Trust Score 64.6/100 (C grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-05.
Use Githubagentpush Dangerous Projects 1 with some caution. Githubagentpush Dangerous Projects 1 is a software tool with a Nerq Trust Score of 64.6/100 (C), based on 5 independent data dimensions. 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: 2026-04-05. Machine-readable data (JSON).
Is Githubagentpush Dangerous Projects 1 safe?
CAUTION — Githubagentpush Dangerous Projects 1 has a Nerq Trust Score of 64.6/100 (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.
What is Githubagentpush Dangerous Projects 1's trust score?
Githubagentpush Dangerous Projects 1 has a Nerq Trust Score of 64.6/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Githubagentpush Dangerous Projects 1?
Githubagentpush Dangerous Projects 1's strongest signal is compliance at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Githubagentpush Dangerous Projects 1 and who maintains it?
| Author | divyanshu-iitian |
| Category | Devops |
| Source | https://github.com/divyanshu-iitian/GithubAgentPush-Dangerous-Projects-1 |
| Protocols | rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in devops
What Is Githubagentpush Dangerous Projects 1?
Githubagentpush Dangerous Projects 1 is a DevOps tool: SmartHomeHub is an AI-driven home automation system.. Nerq Trust Score: 65/100 (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 Githubagentpush Dangerous Projects 1's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Githubagentpush Dangerous Projects 1 performs in each:
- Security (0/100): Githubagentpush Dangerous Projects 1's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Githubagentpush Dangerous Projects 1 is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Githubagentpush Dangerous Projects 1 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 64.6/100 (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 Githubagentpush Dangerous Projects 1?
Githubagentpush Dangerous Projects 1 is designed for:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Githubagentpush Dangerous Projects 1 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 Githubagentpush Dangerous Projects 1'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 Githubagentpush Dangerous Projects 1's dependency tree. - Review permissions — Understand what access Githubagentpush Dangerous Projects 1 requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Githubagentpush Dangerous Projects 1 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=GithubAgentPush-Dangerous-Projects-1 - Review the license — Confirm that Githubagentpush Dangerous Projects 1'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 Githubagentpush Dangerous Projects 1
When evaluating whether Githubagentpush Dangerous Projects 1 is safe, consider these category-specific risks:
Understand how Githubagentpush Dangerous Projects 1 processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Githubagentpush Dangerous Projects 1's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Githubagentpush Dangerous Projects 1. Security patches and bug fixes are only effective if you're running the latest version.
If Githubagentpush Dangerous Projects 1 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 Githubagentpush Dangerous Projects 1's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Githubagentpush Dangerous Projects 1 in violation of its license can expose your organization to legal liability.
Githubagentpush Dangerous Projects 1 and the EU AI Act
Githubagentpush Dangerous Projects 1 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 Githubagentpush Dangerous Projects 1 Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Githubagentpush Dangerous Projects 1 while minimizing risk:
Periodically review how Githubagentpush Dangerous Projects 1 is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Githubagentpush Dangerous Projects 1 and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Githubagentpush Dangerous Projects 1 only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Githubagentpush Dangerous Projects 1's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Githubagentpush Dangerous Projects 1 is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Githubagentpush Dangerous Projects 1?
Even promising tools aren't right for every situation. Consider avoiding Githubagentpush Dangerous Projects 1 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 Githubagentpush Dangerous Projects 1's trust score of 64.6/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Githubagentpush Dangerous Projects 1 Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Githubagentpush Dangerous Projects 1's score of 64.6/100 is above the category average of 63/100.
This positions Githubagentpush Dangerous Projects 1 favorably among DevOps 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 Githubagentpush Dangerous Projects 1 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, Githubagentpush Dangerous Projects 1'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 Githubagentpush Dangerous Projects 1's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=GithubAgentPush-Dangerous-Projects-1&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 Githubagentpush Dangerous Projects 1 are strengthening or weakening over time.
Githubagentpush Dangerous Projects 1 vs Alternatives
In the devops category, Githubagentpush Dangerous Projects 1 scores 64.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Githubagentpush Dangerous Projects 1 vs ansible — Trust Score: 84.3/100
- Githubagentpush Dangerous Projects 1 vs Flowise — Trust Score: 76.9/100
- Githubagentpush Dangerous Projects 1 vs learn-claude-code — Trust Score: 81.5/100
Key Takeaways
- Githubagentpush Dangerous Projects 1 has a Trust Score of 64.6/100 (C) and is not yet Nerq Verified.
- Githubagentpush Dangerous Projects 1 shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among DevOps tools, Githubagentpush Dangerous Projects 1 scores above the category average of 63/100, 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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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.