क्या Openclawtest सुरक्षित है?
Openclawtest — Nerq Trust Score 60.7/100 (C ग्रेड). 5 विश्वास आयामों के विश्लेषण के आधार पर, इसे आम तौर पर सुरक्षित लेकिन कुछ चिंताएं हैं माना जाता है। अंतिम अपडेट: 2026-04-02।
Openclawtest का उपयोग सावधानी से करें। Openclawtest is a software tool (个人AI助手,可在本地设备上运行并支持多平台接入。) Nerq विश्वास स्कोर के साथ 60.7/100 (C), based on 5 स्वतंत्र डेटा आयाम. यह अनुशंसित सीमा 70 से नीचे है। सुरक्षा: 0/100. रखरखाव: 1/100. Popularity: 0/100. डेटा स्रोत: multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. अंतिम अपडेट: 2026-04-02. मशीन पठनीय डेटा (JSON).
क्या Openclawtest सुरक्षित है?
सावधानी — Openclawtest का Nerq विश्वास स्कोर है 60.7/100 (C). मध्यम विश्वास संकेत हैं, लेकिन ध्यान देने योग्य कुछ चिंताजनक क्षेत्र भी हैं. डेवलपमेंट उपयोग के लिए उपयुक्त — प्रोडक्शन तैनाती से पहले सुरक्षा और रखरखाव संकेतों की जांच करें.
Openclawtest का विश्वास स्कोर क्या है?
Openclawtest का Nerq विश्वास स्कोर है 60.7/100, earning a C grade. This score is based on 5 independently measured आयाम including सुरक्षा, रखरखाव, and सामुदायिक स्वीकृति.
Openclawtest के प्रमुख सुरक्षा निष्कर्ष क्या हैं?
Openclawtest's strongest signal is अनुपालन at 84/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Openclawtest क्या है और इसका रखरखाव कौन करता है?
| डेवलपर | ccyina |
| श्रेणी | communication |
| स्रोत | https://github.com/ccyina/OpenClawTest |
| Frameworks | anthropic |
| Protocols | rest · websocket |
नियामक अनुपालन
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 84/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
communication में लोकप्रिय विकल्प
What Is Openclawtest?
Openclawtest is a software tool in the communication category: 个人AI助手,可在本地设备上运行并支持多平台接入。. Nerq Trust Score: 61/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including सुरक्षा vulnerabilities, रखरखाव activity, license अनुपालन, and सामुदायिक स्वीकृति.
How Nerq Assesses Openclawtest's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five आयाम. Here is how Openclawtest performs in each:
- सुरक्षा (0/100): Openclawtest's सुरक्षा posture is poor. This score factors in known CVEs, dependency vulnerabilities, सुरक्षा policy presence, and code signing practices.
- रखरखाव (1/100): Openclawtest is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API दस्तावेज़ीकरण, usage examples, and contribution guidelines.
- Compliance (84/100): Openclawtest is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. आधारित GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 60.7/100 (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 Openclawtest?
Openclawtest is designed for:
- Developers and teams working with communication tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Openclawtest is suitable for development and testing environments. Before production deployment, conduct a thorough review of its सुरक्षा posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Openclawtest's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — जांचें repository's सुरक्षा policy, open issues, and recent commits for signs of active रखरखाव.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Openclawtest's dependency tree. - समीक्षा permissions — Understand what access Openclawtest requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Openclawtest 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=OpenClawTest - जांचें license — Confirm that Openclawtest'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 सुरक्षा concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Openclawtest
When evaluating whether Openclawtest is safe, consider these category-specific risks:
Understand how Openclawtest processes, stores, and transmits your data. जांचें tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Openclawtest's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher सुरक्षा risk.
Regularly check for updates to Openclawtest. सुरक्षा patches and bug fixes are only effective if you're running the latest version.
If Openclawtest 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 Openclawtest's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Openclawtest in violation of its license can expose your organization to legal liability.
Openclawtest and the EU AI Act
Openclawtest 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 अनुपालन assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal अनुपालन.
Best Practices for Using Openclawtest Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Openclawtest while minimizing risk:
Periodically review how Openclawtest is used in your workflow. Check for unexpected behavior, permissions drift, and अनुपालन with your सुरक्षा policies.
Ensure Openclawtest and all its dependencies are running the latest stable versions to benefit from सुरक्षा patches.
Grant Openclawtest only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Openclawtest's सुरक्षा advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Openclawtest is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Openclawtest?
Even promising tools aren't right for every situation. Consider avoiding Openclawtest in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional अनुपालन review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Openclawtest का विश्वास स्कोर 60.7/100 meets your organization's risk tolerance. We recommend running a manual सुरक्षा assessment alongside the automated Nerq score.
How Openclawtest Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among communication tools, the average Trust Score is 62/100. Openclawtest's score of 60.7/100 is near the category average of 62/100.
This places Openclawtest in line with the typical communication 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 मध्यम 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 Openclawtest 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 रखरखाव patterns change, Openclawtest'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 सुरक्षा and quality. Conversely, a downward trend may signal reduced रखरखाव, growing technical debt, or unresolved vulnerabilities. To track Openclawtest's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=OpenClawTest&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 — सुरक्षा, रखरखाव, दस्तावेज़ीकरण, अनुपालन, and community — has evolved independently, providing granular visibility into which aspects of Openclawtest are strengthening or weakening over time.
Openclawtest vs विकल्प
communication श्रेणी में, Openclawtest का स्कोर 60.7/100 है। There are higher-scoring alternatives available. For a detailed comparison, see:
- Openclawtest vs Real-Time-Voice-Cloning — Trust Score: 71.3/100
- Openclawtest vs ChatGPT — Trust Score: 73.8/100
- Openclawtest vs jan — Trust Score: 73.8/100
मुख्य निष्कर्ष
- Openclawtest का विश्वास स्कोर है 60.7/100 (C) and is not yet Nerq Verified.
- Openclawtest shows मध्यम trust signals. Conduct thorough due diligence before deploying to production environments.
- Among communication tools, Openclawtest scores near the category average of 62/100, 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.
अक्सर पूछे जाने वाले प्रश्न
क्या Openclawtest उपयोग के लिए सुरक्षित है?
Openclawtest's trust score क्या है?
Openclawtest के अधिक सुरक्षित विकल्प क्या हैं?
How often is Openclawtest's safety score updated?
क्या मैं Openclawtest को विनियमित वातावरण में उपयोग कर सकता हूं?
Disclaimer: Nerq विश्वास स्कोर सार्वजनिक रूप से उपलब्ध संकेतों पर आधारित स्वचालित मूल्यांकन हैं। ये सिफारिश या गारंटी नहीं हैं। हमेशा अपना स्वयं का सत्यापन करें।