هل Agent In A Browser آمن؟

Agent In A Browser — Nerq درجة الثقة 54.5/100 (الدرجة D). التقييم مبني على 5 independent trust signals.

Agent In A Browser هو software tool بدرجة ثقة Nerq 54.5/100 (D), بناءً على 5 أبعاد بيانات مستقلة. الأمان: 0/100. الصيانة: 1/100. الشعبية: 0/100. البيانات مصدرها قراءة آلية.

هل Agent In A Browser آمن؟

تفاصيل درجة الثقة — Agent In A Browser لديه درجة ثقة Nerq تبلغ 54.5/100 (D). Measured across 5 independent trust signals.

تحليل الأمان → تقرير الخصوصية →

ما هي درجة ثقة Agent In A Browser؟

حصل Agent In A Browser على درجة ثقة Nerq تبلغ 54.5/100 بدرجة D. يعتمد هذا التقييم على 5 أبعاد مُقاسة بشكل مستقل.

الأمان
0
الامتثال
100
الصيانة
1
التوثيق
1
الشعبية
0

ما هي النتائج الأمنية الرئيسية لـ Agent In A Browser؟

أقوى إشارة لـ Agent In A Browser هي الامتثال بدرجة 100/100. لم يتم اكتشاف أي ثغرات أمنية معروفة.

⚠درجة الأمان: 0/100 (ضعيف)
⚠الصيانة: 1/100 — نشاط صيانة منخفض
⚠الامتثال: 100/100 — covers 52 of 52 ولاية قضائيةs
⚠التوثيق: 1/100 — توثيق محدود
⚠الشعبية: 0/100 — 3 stars on github

ما هو Agent In A Browser ومن يديره؟

المؤلفtjfontaine
الفئةCoding
النجوم3
المصدرhttps://github.com/tjfontaine/agent-in-a-browser
Frameworksopenai · anthropic
Protocolsmcp · rest

الامتثال التنظيمي

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
الاختصاص القضائيsAssessed across 52 ولاية قضائيةs

بدائل شائعة في coding

Significant-Gravitas/AutoGPT
65.3/100 · C
github
ollama/ollama
64.4/100 · C
github
langchain-ai/langchain
77.0/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
64.4/100 · C
github
anomalyco/opencode
78.5/100 · B
github

Agent In A Browser عبر المنصات

منتجات من نفس المطور

readtoend
48/100 · npm
lstream
48/100 · npm
buffercursor
48/100 · npm
pystruct
48/100 · npm
native-dns-cache
46/100 · npm

What Is Agent In A Browser?

Agent In A Browser is a software tool in the coding category: Agent for dynamic TypeScript execution via a wasm MCP server in Rust.. It has 3 GitHub stars. Nerq درجة الثقة: 54/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and اعتماد المجتمع.

How Nerq Assesses Agent In A Browser's Safety

Nerq's درجة الثقة is calculated from 13+ independent signals aggregated into five أبعاد. Here is how Agent In A Browser performs in each:

The overall درجة الثقة of 54.5/100 (D) 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 Agent In A Browser?

Agent In A Browser is commonly evaluated by:

كيفية read the signals: Agent In A Browser's measured signals (security 0/100, maintenance 1/100, documentation 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.

كيفية Verify Agent In A Browser's Safety Yourself

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

  1. Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for ثغرات أمنية معروفة in Agent In A Browser's dependency tree.
  3. مراجعة permissions — Understand what access Agent In A Browser requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Agent In A Browser 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=agent-in-a-browser
  6. مراجعة the license — Confirm that Agent In A Browser'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 عملاء 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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Agent In A Browser

When evaluating whether Agent In A Browser is safe, consider these category-specific risks:

Data handling

Understand how Agent In A Browser processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Agent In A Browser's dependency tree for ثغرات أمنية معروفة. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Agent In A Browser. الأمان patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Agent In A Browser 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.

الترخيص and IP compliance

Verify that Agent In A Browser'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 In A Browser in violation of its license can expose your organization to legal liability.

Agent In A Browser and the EU AI Act

Agent In A Browser 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 ولاية قضائيةs worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.

Best Practices for Using Agent In A Browser Safely

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

Conduct regular audits

Periodically review how Agent In A Browser is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Agent In A Browser and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Agent In A Browser only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Agent In A Browser's security 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 Agent In A Browser is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant مستقل Review of Agent In A Browser

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

For each situation, compare Agent In A Browser's measured trust score of 54.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Agent In A Browser is suitable for any particular use.

How Agent In A Browser Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average درجة الثقة is 62/100. Agent In A Browser's score of 54.5/100 is near the category average of 62/100.

This places Agent In A Browser 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 متوسط 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.

درجة الثقة History

Nerq continuously monitors Agent In A Browser and recalculates its درجة الثقة 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 In A Browser'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 In A Browser's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agent-in-a-browser&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 In A Browser are strengthening or weakening over time.

Agent In A Browser vs البدائل

In the coding category, Agent In A Browser scores 54.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

النقاط الرئيسية

الأسئلة الشائعة

هل Agent In A Browser آمن؟
agent-in-a-browser بدرجة ثقة Nerq 54.5/100 (D). أقوى إشارة: الامتثال (100/100). التقييم مبني على الأمان (0/100), الصيانة (1/100), الشعبية (0/100), التوثيق (1/100).
ما هي درجة ثقة Agent In A Browser؟
agent-in-a-browser: 54.5/100 (D). التقييم مبني على الأمان (0/100), الصيانة (1/100), الشعبية (0/100), التوثيق (1/100). Compliance: 100/100. يتم تحديث النتائج عند توفر بيانات جديدة. API: GET nerq.ai/v1/preflight?target=agent-in-a-browser
ما هي البدائل الأكثر أمانًا لـ Agent In A Browser؟
في فئة Coding، البدائل الأعلى تقييمًا تشمل Significant-Gravitas/AutoGPT (65/100), ollama/ollama (64/100), langchain-ai/langchain (77/100). agent-in-a-browser scores 54.5/100.
كم مرة يتم تحديث درجة أمان Agent In A Browser؟
Nerq recomputes Agent In A Browser's trust score as new data becomes available. Current: 54.5/100 (D). API: GET nerq.ai/v1/preflight?target=agent-in-a-browser
هل يمكنني استخدام Agent In A Browser في بيئة منظمة؟
Agent In A Browser: 54.5/100 (D). Compliance: 52 of 52 ولاية قضائيةs. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge واجهة برمجة التطبيقات Docs

انظر أيضاً

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