Je Simpleragllm bezpečný?
Simpleragllm — Nerq Trust Score 54.1/100 (Stupeň D). Na základě analýzy 4 dimenzí důvěryhodnosti je má pozoruhodné bezpečnostní obavy. Naposledy aktualizováno: 2026-04-02.
Používejte Simpleragllm s opatrností. Simpleragllm is a software tool se skóre důvěryhodnosti Nerq 54.1/100 (D), based on 4 independent data dimensions. Je pod doporučeným prahem 70. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-02. Strojově čitelná data (JSON).
Je Simpleragllm bezpečný?
OPATRNOST — Simpleragllm má skóre důvěryhodnosti Nerq 54.1/100 (D). Má střední signály důvěryhodnosti, ale vykazuje některé oblasti vyžadující pozornost. Vhodné pro vývojové použití — zkontrolujte bezpečnostní signály a signály údržby před nasazením do produkce.
Jaké je skóre důvěryhodnosti Simpleragllm?
Simpleragllm má Nerq skóre důvěryhodnosti 54.1/100 se stupněm D. Toto skóre je založeno na 4 nezávisle měřených dimenzích.
Jaká jsou klíčová bezpečnostní zjištění pro Simpleragllm?
Nejsilnější signál Simpleragllm je shoda na 100/100. Nebyly zjištěny žádné známé zranitelnosti. Dosud nedosáhl ověřeného prahu Nerq 70+.
Co je Simpleragllm a kdo jej spravuje?
| Autor | Rahatara |
| Kategorie | AI tool |
| Hvězdičky | 1 |
| Zdroj | https://huggingface.co/spaces/Rahatara/SimpleRAGLLM |
| Protocols | huggingface_hub |
Regulační shoda
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populární alternativy v AI tool
What Is Simpleragllm?
Simpleragllm is a software tool in the AI tool category: SimpleRAGLLM is an AI tool based on LLM for automation.. It has 1 GitHub stars. Nerq Trust Score: 54/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Simpleragllm's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Simpleragllm performs in each:
- Údržba (0/100): Simpleragllm is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Simpleragllm is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 54.1/100 (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 Simpleragllm?
Simpleragllm is designed for:
- Developers and teams working with AI tool tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Simpleragllm is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Simpleragllm's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Simpleragllm's dependency tree. - Recenze permissions — Understand what access Simpleragllm requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Simpleragllm 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=SimpleRAGLLM - Zkontrolujte license — Confirm that Simpleragllm'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Simpleragllm
When evaluating whether Simpleragllm is safe, consider these category-specific risks:
Understand how Simpleragllm processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Simpleragllm's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Simpleragllm. Security patches and bug fixes are only effective if you're running the latest version.
If Simpleragllm 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 Simpleragllm's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Simpleragllm in violation of its license can expose your organization to legal liability.
Best Practices for Using Simpleragllm Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Simpleragllm while minimizing risk:
Periodically review how Simpleragllm is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Simpleragllm and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Simpleragllm only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Simpleragllm's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Simpleragllm is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Simpleragllm?
Even promising tools aren't right for every situation. Consider avoiding Simpleragllm in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Simpleragllm 54.1/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Simpleragllm Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among AI tool tools, the average Trust Score is 62/100. Simpleragllm's score of 54.1/100 is near the category average of 62/100.
This places Simpleragllm in line with the typical AI tool 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 moderate 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 Simpleragllm 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 maintenance patterns change, Simpleragllm'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 Simpleragllm's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=SimpleRAGLLM&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 Simpleragllm are strengthening or weakening over time.
Simpleragllm vs Alternatives
In the AI tool category, Simpleragllm získal skóre 54.1/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Simpleragllm vs openclaw — Trust Score: 84.3/100
- Simpleragllm vs stable-diffusion-webui — Trust Score: 69.3/100
- Simpleragllm vs prompts.chat — Trust Score: 69.3/100
Hlavní závěry
- Simpleragllm má skóre důvěryhodnosti 54.1/100 (D) and is not yet Nerq Verified.
- Simpleragllm shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among AI tool tools, Simpleragllm 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.
Často kladené otázky
Je Simpleragllm bezpečný k použití?
Jaké je skóre důvěryhodnosti Simpleragllm?
Jaké jsou bezpečnější alternativy k Simpleragllm?
How often is Simpleragllm's safety score updated?
Mohu použít Simpleragllm v regulovaném prostředí?
Disclaimer: Skóre důvěryhodnosti Nerq jsou automatizovaná hodnocení založená na veřejně dostupných signálech. Nejsou doporučením ani zárukou. Vždy proveďte vlastní ověření.