Apakah Codesage Large Aman?

Codesage Large — Nerq Trust Score 56.0/100 (Nilai D). Berdasarkan analisis 4 dimensi kepercayaan, dianggap memiliki masalah keamanan yang perlu diperhatikan. Terakhir diperbarui: 2026-04-18.

Gunakan Codesage Large dengan hati-hati. Codesage Large adalah software tool dengan Skor Kepercayaan Nerq sebesar 56.0/100 (D), based on 4 dimensi data independen. Di bawah ambang batas terverifikasi Nerq Pemeliharaan: 0/100. Popularitas: 0/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: 2026-04-18. Data yang dapat dibaca mesin (JSON).

Apakah Codesage Large Aman?

CAUTION — Codesage Large has a Nerq Trust Score of 56.0/100 (D). 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 Codesage Large →

Berapa skor kepercayaan Codesage Large?

Codesage Large memiliki Skor Kepercayaan Nerq 56.0/100 dengan nilai D. Skor ini didasarkan pada 4 dimensi yang diukur secara independen.

Kepatuhan
100
Pemeliharaan
0
Dokumentasi
0
Popularitas
0

Apa temuan keamanan utama untuk Codesage Large?

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

Pemeliharaan: 0/100 — aktivitas pemeliharaan rendah
Kepatuhan: 100/100 — covers 52 of 52 jurisdictions
Dokumentasi: 0/100 — dokumentasi terbatas
Popularitas: 0/100 — 24 bintang di huggingface full

Apa itu Codesage Large dan siapa yang mengelolanya?

Pembuatcodesage
KategoriCoding
Bintang24
Sumberhttps://huggingface.co/codesage/codesage-large
Protocolshuggingface_hub

Kepatuhan Regulasi

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

Alternatif Populer di coding

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
86.4/100 · A
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
87.9/100 · A
github

What Is Codesage Large?

Codesage Large is a software tool in the coding category: A large language model for coding assistance.. It has 24 GitHub stars. Nerq Trust Score: 56/100 (D).

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 Codesage Large's Safety

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

The overall Trust Score of 56.0/100 (D) 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 Codesage Large?

Codesage Large is designed for:

Risk guidance: Codesage Large 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 Codesage Large'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 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 Codesage Large's dependency tree.
  3. Ulasan permissions — Understand what access Codesage Large requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Codesage Large 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=codesage-large
  6. Tinjau license — Confirm that Codesage Large'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 Codesage Large

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

Data handling

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

Dependency keamanan

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

Update frequency

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

Third-party integrations

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

Best Practices for Using Codesage Large Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Codesage Large'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 Codesage Large is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Codesage Large?

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

For each scenario, evaluate whether Codesage Large's trust score of 56.0/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.

How Codesage Large 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. Codesage Large's score of 56.0/100 is near the category average of 62/100.

This places Codesage Large in line with the typical coding 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 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 Codesage Large 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, Codesage Large'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 Codesage Large's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=codesage-large&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 Codesage Large are strengthening or weakening over time.

Codesage Large vs Alternatif

In the coding category, Codesage Large scores 56.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Codesage Large Aman?
Gunakan dengan hati-hati. codesage-large dengan Skor Kepercayaan Nerq sebesar 56.0/100 (D). Sinyal terkuat: kepatuhan (100/100). Skor berdasarkan Pemeliharaan (0/100), Popularitas (0/100), Dokumentasi (0/100).
Berapa skor kepercayaan Codesage Large?
codesage-large: 56.0/100 (D). Skor berdasarkan Pemeliharaan (0/100), Popularitas (0/100), Dokumentasi (0/100). Compliance: 100/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=codesage-large
Apa alternatif yang lebih aman dari Codesage Large?
Dalam kategori Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). codesage-large scores 56.0/100.
Seberapa sering skor keamanan Codesage Large diperbarui?
Nerq continuously monitors Codesage Large and updates its trust score as new data becomes available. Current: 56.0/100 (D), last terverifikasi 2026-04-18. API: GET nerq.ai/v1/preflight?target=codesage-large
Bisakah saya menggunakan Codesage Large di lingkungan yang diatur?
Codesage Large 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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