Apakah Common Code Reviewer Aman?

Common Code Reviewer — Nerq Trust Score 68.8/100 (Nilai C). Skor berdasarkan 5 independent trust signals.

Common Code Reviewer adalah software tool dengan Skor Kepercayaan Nerq sebesar 68.8/100 (C), based on 5 dimensi data independen. 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: n/a. Data yang dapat dibaca mesin (JSON).

Apakah Common Code Reviewer Aman?

Rincian Skor Kepercayaan — Common Code Reviewer has a Nerq Trust Score of 68.8/100 (C). Measured across 5 independent trust signals.

Analisis Keamanan → Laporan Privasi Common Code Reviewer →

Berapa skor kepercayaan Common Code Reviewer?

Common Code Reviewer memiliki Skor Kepercayaan Nerq 68.8/100 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 Common Code Reviewer?

Sinyal terkuat Common Code Reviewer adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi.

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 — adopsi komunitas

Apa itu Common Code Reviewer dan siapa yang mengelolanya?

PembuatWilliam-Yeh
KategoriCoding
Sumberhttps://github.com/William-Yeh/common-code-reviewer
Frameworksopenai · anthropic
Protocolsrest · grpc

Kepatuhan Regulasi

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

Alternatif Populer di coding

Significant-Gravitas/AutoGPT
61.8/100 · C+
github
ollama/ollama
56.5/100 · C
github
langchain-ai/langchain
81.0/100 · A
github
x1xhlol/system-prompts-and-models-of-ai-tools
68.4/100 · C
github
anomalyco/opencode
82.5/100 · A
github

What Is Common Code Reviewer?

Common Code Reviewer is a software tool in the coding category: A rigorous code review agent for multiple programming languages.. 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 Common Code Reviewer's Safety

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

The overall Trust Score of 68.8/100 (C) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Common Code Reviewer?

Common Code Reviewer is commonly evaluated by:

How to read the signals: Common Code Reviewer's measured signals (keamanan 0/100, pemeliharaan 1/100, dokumentasi 1/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify Common Code Reviewer'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 Common Code Reviewer's dependency tree.
  3. Ulasan permissions — Understand what access Common Code Reviewer requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Common Code Reviewer 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=common-code-reviewer
  6. Tinjau license — Confirm that Common Code Reviewer'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 Common Code Reviewer

When evaluating whether Common Code Reviewer is safe, consider these category-specific risks:

Data handling

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

Dependency keamanan

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

Update frequency

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

Third-party integrations

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

Common Code Reviewer and the EU AI Act

Common Code Reviewer 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 Common Code Reviewer Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Common Code Reviewer'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 Common Code Reviewer is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Common Code Reviewer

Nerq's signals are one input. In the following situations, evaluate Common Code Reviewer's measured signals against your own requirements before making a decision:

For each situation, compare Common Code Reviewer's measured trust score of 68.8/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Common Code Reviewer is suitable for any particular use.

How Common Code Reviewer 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. Common Code Reviewer's score of 68.8/100 is above the category average of 62/100.

This positions Common Code Reviewer favorably among coding 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 Common Code Reviewer 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, Common Code Reviewer'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 Common Code Reviewer's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=common-code-reviewer&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 Common Code Reviewer are strengthening or weakening over time.

Common Code Reviewer vs Alternatif

In the coding category, Common Code Reviewer scores 68.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Common Code Reviewer Aman?
common-code-reviewer dengan Skor Kepercayaan Nerq sebesar 68.8/100 (C). Sinyal terkuat: kepatuhan (100/100). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100).
Berapa skor kepercayaan Common Code Reviewer?
common-code-reviewer: 68.8/100 (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=common-code-reviewer
Apa alternatif yang lebih aman dari Common Code Reviewer?
Dalam kategori Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (62/100), ollama/ollama (56/100), langchain-ai/langchain (81/100). common-code-reviewer scores 68.8/100.
Seberapa sering skor keamanan Common Code Reviewer diperbarui?
Nerq recomputes Common Code Reviewer's trust score as new data becomes available. Current: 68.8/100 (C). API: GET nerq.ai/v1/preflight?target=common-code-reviewer
Bisakah saya menggunakan Common Code Reviewer di lingkungan yang diatur?
Common Code Reviewer: 68.8/100 (C). Compliance: 52 of 52 jurisdictions. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Lihat juga

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