Apakah Agentcli Aman?

Agentcli — Nerq Trust Score 69.2/100 (Nilai C). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-27.

Gunakan Agentcli dengan hati-hati. Agentcli adalah software tool dengan Skor Kepercayaan Nerq sebesar 69.2/100 (C), based on 5 dimensi data independen. Di bawah ambang batas terverifikasi Nerq Keamanan: 0/100. Pemeliharaan: 1/100. Popularitas: 0/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: 2026-04-27. Data yang dapat dibaca mesin (JSON).

Apakah Agentcli Aman?

CAUTION — Agentcli has a Nerq Trust Score of 69.2/100 (C). Memiliki sinyal kepercayaan sedang tetapi menunjukkan beberapa area perhatian that warrant attention. Suitable for development use — review keamanan and pemeliharaan signals before production deployment.

Analisis Keamanan → Laporan Privasi Agentcli →

Berapa skor kepercayaan Agentcli?

Agentcli memiliki Skor Kepercayaan Nerq 69.2/100 dengan nilai C. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.

Keamanan
0
Kepatuhan
100
Pemeliharaan
1
Dokumentasi
1
Popularitas
0

Apa temuan keamanan utama untuk Agentcli?

Sinyal terkuat Agentcli adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.

Skor keamanan: 0/100 (lemah)
Pemeliharaan: 1/100 — aktivitas pemeliharaan rendah
Kepatuhan: 100/100 — covers 52 of 52 jurisdictions
Dokumentasi: 1/100 — dokumentasi terbatas
Popularitas: 0/100 — 1 bintang di github

Apa itu Agentcli dan siapa yang mengelolanya?

Pembuatawaku7
KategoriDevops
Bintang1
Sumberhttps://github.com/awaku7/agentcli
Frameworksopenai · anthropic
Protocolsrest

Kepatuhan Regulasi

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

Alternatif Populer di devops

ansible/ansible
76.8/100 · B+
github
FlowiseAI/Flowise
63.3/100 · C+
github
shareAI-lab/learn-claude-code
69.2/100 · B-
github
continuedev/continue
64.4/100 · C+
github
wshobson/agents
70.5/100 · B
github

What Is Agentcli?

Agentcli is a DevOps tool: Local LLM agent for command execution, file operations, and data retrieval.. It has 1 GitHub stars. Nerq Trust Score: 69/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.

How Nerq Assesses Agentcli's Safety

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

The overall Trust Score of 69.2/100 (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 Agentcli?

Agentcli is designed for:

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

How to Verify Agentcli's Safety Yourself

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

  1. Check the source code — Tinjau repository's keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Agentcli's dependency tree.
  3. Ulasan permissions — Understand what access Agentcli requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Agentcli 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=agentcli
  6. Tinjau license — Confirm that Agentcli'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 keamanan concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Agentcli

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

Data handling

Understand how Agentcli processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency keamanan

Check Agentcli's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.

Update frequency

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

Third-party integrations

If Agentcli 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 kepatuhan

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

Agentcli and the EU AI Act

Agentcli 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 kepatuhan assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal kepatuhan.

Best Practices for Using Agentcli Safely

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

Conduct regular audits

Periodically review how Agentcli is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.

Keep dependencies updated

Ensure Agentcli and all its dependencies are running the latest stable versions to benefit from keamanan patches.

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Agentcli's keamanan 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 Agentcli is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Agentcli?

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

For each scenario, evaluate whether Agentcli's trust score of 69.2/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.

How Agentcli 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. Agentcli's score of 69.2/100 is above the category average of 63/100.

This positions Agentcli favorably among DevOps tools. While it outperforms the average, there is still room for improvement in certain trust dimensi.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks sedang 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 Agentcli 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 pemeliharaan patterns change, Agentcli'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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, growing technical debt, or unresolved vulnerabilities. To track Agentcli's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agentcli&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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of Agentcli are strengthening or weakening over time.

Agentcli vs Alternatif

In the devops category, Agentcli scores 69.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Analisis Skor Terperinci

DimensionScore
Keamanan0/100
Pemeliharaan1/100
Popularitas0/100

Berdasarkan 3 dimensi. Data from berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard.

Data apa yang dikumpulkan Agentcli?

Privasi assessment for Agentcli is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

Apakah Agentcli aman?

Keamanan score: 0/100. Review keamanan practices and consider alternatives with higher keamanan scores for sensitive use cases.

Nerq memantau entitas ini terhadap NVD, OSV.dev, dan database kerentanan khusus registry untuk penilaian keamanan berkelanjutan.

Analisis lengkap: Laporan Keamanan Agentcli

Cara kami menghitung skor ini

Agentcli's trust score of 69.2/100 (C) dihitung dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Skor ini mencerminkan 3 dimensi independen: keamanan (0/100), pemeliharaan (1/100), popularitas (0/100). Setiap dimensi diberi bobot yang sama untuk menghasilkan skor kepercayaan komposit.

Nerq menganalisis lebih dari 7,5 juta entitas di 26 registry menggunakan metodologi yang sama, memungkinkan perbandingan langsung antar entitas. Skor diperbarui secara berkelanjutan saat data baru tersedia.

Halaman ini terakhir ditinjau pada April 27, 2026. Versi data: 1.0.

Dokumentasi metodologi lengkap · Data yang dapat dibaca mesin (API JSON)

Pertanyaan yang Sering Diajukan

Apakah Agentcli Aman?
Gunakan dengan hati-hati. agentcli dengan Skor Kepercayaan Nerq sebesar 69.2/100 (C). Sinyal terkuat: kepatuhan (100/100). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100).
Berapa skor kepercayaan Agentcli?
agentcli: 69.2/100 (C). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100). Compliance: 100/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=agentcli
Apa alternatif yang lebih aman dari Agentcli?
Dalam kategori Devops, higher-rated alternatives include ansible/ansible (77/100), FlowiseAI/Flowise (63/100), shareAI-lab/learn-claude-code (69/100). agentcli scores 69.2/100.
Seberapa sering skor keamanan Agentcli diperbarui?
Nerq continuously monitors Agentcli and updates its trust score as new data becomes available. Current: 69.2/100 (C), last terverifikasi 2026-04-27. API: GET nerq.ai/v1/preflight?target=agentcli
Bisakah saya menggunakan Agentcli di lingkungan yang diatur?
Agentcli belum mencapai ambang verifikasi Nerq 70. Tinjauan tambahan disarankan.
API: /v1/preflight Trust Badge API Docs

Lihat juga

Disclaimer: Skor kepercayaan Nerq adalah penilaian otomatis berdasarkan sinyal yang tersedia secara publik. Ini bukan rekomendasi atau jaminan. Selalu lakukan verifikasi mandiri Anda sendiri.

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