Apakah Agent Dan Aman?
Agent Dan — Nerq Trust Score 62.5/100 (Nilai C). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-03-31.
Gunakan Agent Dan dengan hati-hati. Agent Dan is a software tool dengan Skor Kepercayaan Nerq sebesar 62.5/100 (C), based on 5 independent data dimensions. Di bawah ambang batas yang direkomendasikan yaitu 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: 2026-03-31. Data yang dapat dibaca mesin (JSON).
Apakah Agent Dan Aman?
HATI-HATI — Agent Dan memiliki Skor Kepercayaan Nerq sebesar 62.5/100 (C). Memiliki sinyal kepercayaan sedang tetapi menunjukkan beberapa area yang perlu diperhatikan. Cocok untuk penggunaan pengembangan — tinjau sinyal keamanan dan pemeliharaan sebelum penerapan produksi.
Berapa skor kepercayaan Agent Dan?
Agent Dan memiliki Skor Kepercayaan Nerq 62.5/100 dengan nilai C. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Agent Dan?
Sinyal terkuat Agent Dan adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.
Apa itu Agent Dan dan siapa yang mengelolanya?
| Pembuat | DMcmac |
| Kategori | devops |
| Sumber | https://github.com/DMcmac/Agent-Dan |
Kepatuhan Regulasi
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternatif Populer di devops
What Is Agent Dan?
Agent Dan is a DevOps tool: Agent-Dan reads and writes files within a designated directory.. Nerq Trust Score: 62/100 (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 Agent Dan's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Agent Dan performs in each:
- Keamanan (0/100): Agent Dan's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Pemeliharaan (1/100): Agent Dan 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): Agent Dan 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 62.5/100 (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 Agent Dan?
Agent Dan 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: Agent Dan 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 Agent Dan'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 Agent Dan's dependency tree. - Ulasan permissions — Understand what access Agent Dan requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agent Dan 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=Agent-Dan - Tinjau license — Confirm that Agent Dan'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 Agent Dan
When evaluating whether Agent Dan is safe, consider these category-specific risks:
Understand how Agent Dan processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agent Dan's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Agent Dan. Security patches and bug fixes are only effective if you're running the latest version.
If Agent Dan 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 Agent Dan's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Agent Dan in violation of its license can expose your organization to legal liability.
Agent Dan and the EU AI Act
Agent Dan 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 Agent Dan Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agent Dan while minimizing risk:
Periodically review how Agent Dan is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Agent Dan and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Agent Dan only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agent Dan's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Agent Dan is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Agent Dan?
Even promising tools aren't right for every situation. Consider avoiding Agent Dan 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 Agent Dan sebesar 62.5/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Agent Dan 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. Agent Dan's score of 62.5/100 is near the category average of 63/100.
This places Agent Dan in line with the typical DevOps 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 Agent Dan 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, Agent Dan'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 Agent Dan's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Agent-Dan&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 Agent Dan are strengthening or weakening over time.
Agent Dan vs Alternatives
Dalam kategori devops, Agent Dan mendapat skor 62.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Agent Dan vs ansible — Trust Score: 84.3/100
- Agent Dan vs Flowise — Trust Score: 76.9/100
- Agent Dan vs learn-claude-code — Trust Score: 81.5/100
Kesimpulan Utama
- Agent Dan memiliki Skor Kepercayaan sebesar 62.5/100 (C) and is not yet Nerq Verified.
- Agent Dan shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among DevOps tools, Agent Dan scores near the category average of 63/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Pertanyaan yang Sering Diajukan
Apakah Agent Dan aman digunakan?
Berapa skor kepercayaan Agent Dan?
Apa alternatif yang lebih aman dari Agent Dan?
How often is Agent Dan's safety score updated?
Bisakah saya menggunakan Agent Dan di lingkungan teregulasi?
Disclaimer: Skor kepercayaan Nerq adalah penilaian otomatis berdasarkan sinyal yang tersedia secara publik. Ini bukan rekomendasi atau jaminan. Selalu lakukan verifikasi mandiri Anda sendiri.