Er Toxic Bert sikker?
Toxic Bert — Nerq Trust Score 60.9/100 (Karakter C). Baseret på analyse af 4 tillidsdimensioner vurderes det som generelt sikkert men med visse bekymringer. Sidst opdateret: 2026-06-02.
Brug Toxic Bert med forsigtighed. Toxic Bert er en software tool med en Nerq Tillidsscore på 60.9/100 (C), based on 4 uafhængige datadimensioner. Under Nerqs verificerede tærskel Vedligeholdelse: 0/100. Popularitet: 1/100. Data hentet fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sidst opdateret: 2026-06-02. Maskinlæsbare data (JSON).
Er Toxic Bert sikker?
CAUTION — Toxic Bert has a Nerq Trust Score of 60.9/100 (C). Har moderat tillidssignaler, men viser nogle bekymrende områder that warrant attention. Suitable for development use — review sikkerhed and vedligeholdelse signals before production deployment.
Hvad er Toxic Berts tillidsscore?
Toxic Bert har en Nerq Trust Score på 60.9/100 med karakteren C. Denne score er baseret på 4 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.
Hvad er de vigtigste sikkerhedsresultater for Toxic Bert?
Toxic Berts stærkeste signal er overholdelse på 100/100. Ingen kendte sårbarheder er fundet. It has not yet reached the Nerq Verified threshold of 70+.
Hvad er Toxic Bert og hvem vedligeholder det?
| Udvikler | unitary |
| Kategori | Content |
| Stjerner | 212 |
| Kilde | https://huggingface.co/unitary/toxic-bert |
| Protocols | huggingface_api |
Lovgivningsmæssig overholdelse
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i content
What Is Toxic Bert?
Toxic Bert is a software tool in the content category: Toxic-bert detects toxicity in text.. It has 212 GitHub stars. Nerq Trust Score: 61/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhed vulnerabilities, vedligeholdelse activity, license overholdelse, and fællesskabsadoption.
How Nerq Assesses Toxic Bert's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Toxic Bert performs in each:
- Vedligeholdelse (0/100): Toxic Bert 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 dokumentation, usage examples, and contribution guidelines.
- Compliance (100/100): Toxic Bert is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. Baseret på GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 60.9/100 (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 Toxic Bert?
Toxic Bert is designed for:
- Developers and teams working with content tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Toxic Bert is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sikkerhed posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Toxic Bert's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gennemgå repository sikkerhed policy, open issues, and recent commits for signs of active vedligeholdelse.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Toxic Bert's dependency tree. - Anmeldelse permissions — Understand what access Toxic Bert requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Toxic Bert 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=toxic-bert - Gennemgå license — Confirm that Toxic Bert'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 sikkerhed concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Toxic Bert
When evaluating whether Toxic Bert is safe, consider these category-specific risks:
Understand how Toxic Bert processes, stores, and transmits your data. Gennemgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Toxic Bert's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sikkerhed risk.
Regularly check for updates to Toxic Bert. Sikkerhed patches and bug fixes are only effective if you're running the latest version.
If Toxic Bert 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 Toxic Bert's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Toxic Bert in violation of its license can expose your organization to legal liability.
Toxic Bert and the EU AI Act
Toxic Bert 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 overholdelse assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal overholdelse.
Best Practices for Using Toxic Bert Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Toxic Bert while minimizing risk:
Periodically review how Toxic Bert is used in your workflow. Check for unexpected behavior, permissions drift, and overholdelse with your sikkerhed policies.
Ensure Toxic Bert and all its dependencies are running the latest stable versions to benefit from sikkerhed patches.
Grant Toxic Bert only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Toxic Bert's sikkerhed advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Toxic Bert is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Toxic Bert?
Even promising tools aren't right for every situation. Consider avoiding Toxic Bert in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional overholdelse review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Toxic Bert's trust score of 60.9/100 meets your organization's risk tolerance. We recommend running a manual sikkerhed assessment alongside the automated Nerq score.
How Toxic Bert Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among content tools, the average Trust Score is 62/100. Toxic Bert's score of 60.9/100 is near the category average of 62/100.
This places Toxic Bert in line with the typical content 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 moderat 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 Toxic Bert 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 vedligeholdelse patterns change, Toxic Bert'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 sikkerhed and quality. Conversely, a downward trend may signal reduced vedligeholdelse, growing technical debt, or unresolved vulnerabilities. To track Toxic Bert's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=toxic-bert&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 — sikkerhed, vedligeholdelse, dokumentation, overholdelse, and community — has evolved independently, providing granular visibility into which aspects of Toxic Bert are strengthening or weakening over time.
Toxic Bert vs Alternativer
In the content category, Toxic Bert scores 60.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Toxic Bert vs prompt-optimizer — Trust Score: 67.1/100
- Toxic Bert vs AudioGPT — Trust Score: 72.0/100
- Toxic Bert vs magika — Trust Score: 61.6/100
Vigtigste pointer
- Toxic Bert has a Trust Score of 60.9/100 (C) and is not yet Nerq Verified.
- Toxic Bert shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among content tools, Toxic Bert 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.
Detaljeret scoreanalyse
| Dimension | Score |
|---|---|
| Vedligeholdelse | 0/100 |
| Popularitet | 1/100 |
Baseret på 2 dimensioner. Data from flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard.
Hvilke data indsamler Toxic Bert?
Privatliv assessment for Toxic Bert is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Er Toxic Bert sikker?
Sikkerhed score: under vurdering. Review sikkerhed practices and consider alternatives with higher sikkerhed scores for sensitive use cases.
Nerq overvåger denne enhed mod NVD, OSV.dev og registrespecifikke sårbarhedsdatabaser til løbende sikkerhedsvurdering.
Fuld analyse: Toxic Bert sikkerhedsrapport
Sådan beregnede vi denne score
Toxic Bert's trust score of 60.9/100 (C) beregnes ud fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Scoren afspejler 2 uafhængige dimensioner: vedligeholdelse (0/100), popularitet (1/100). Hver dimension vægtes ens for at producere den samlede tillidsscore.
Nerq analyserer over 7,5 millioner enheder i 26 registre med samme metodik, hvilket muliggør direkte sammenligning mellem enheder. Scorer opdateres løbende, efterhånden som nye data bliver tilgængelige.
Denne side blev sidst gennemgået den June 02, 2026. Dataversion: 1.0.
Ofte stillede spørgsmål
Er Toxic Bert sikker?
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Se også
Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.