Er Paper2Skill trygt?
Paper2Skill — Nerq Trust Score 64.5/100 (Karakter C). Basert på analyse av 5 tillidsdimensjoner vurderes det som generelt trygt men med visse bekymringer. Sist oppdatert: 2026-04-11.
Bruk Paper2Skill med forsiktighet. Paper2Skill er en software tool har en Nerq-tillitspoeng på 64.5/100 (C), based on 5 uavhengige datadimensjoner. Under Nerqs verifiserte terskel Sikkerhet: 0/100. Vedlikehold: 1/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder inkludert pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sist oppdatert: 2026-04-11. Maskinlesbare data (JSON).
Er Paper2Skill trygt?
CAUTION — Paper2Skill har en Nerq-tillitspoeng på 64.5/100 (C). Har moderat tillitssignaler, men viser noen bekymringsområder that warrant attention. Suitable for development use — review sikkerhet and vedlikehold signals before production deployment.
Hva er tillitspoengene til Paper2Skill?
Paper2Skill har en Nerq-tillitspoeng på 64.5/100 med karakteren C. Denne poengsummen er basert på 5 uavhengig målte dimensjoner, inkludert sikkerhet, vedlikehold og samfunnsadopsjon.
Hva er de viktigste sikkerhetsfunnene for Paper2Skill?
Paper2Skills sterkeste signal er samsvar på 92/100. Ingen kjente sårbarheter er funnet. It has not yet reached the Nerq Verified threshold of 70+.
Hva er Paper2Skill og hvem vedlikeholder det?
| Utvikler | mzqef |
| Kategori | Coding |
| Kilde | https://github.com/mzqef/Paper2Skill |
| Frameworks | langchain · openai · anthropic · ollama |
| Protocols | rest |
Regulatorisk samsvar
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 92/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i coding
What Is Paper2Skill?
Paper2Skill is a software tool in the coding category: An intelligent Agent Skill Builder that transforms academic papers into actionable Skill.md files for AI systems.. Nerq Trust Score: 64/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhet vulnerabilities, vedlikehold activity, license samsvar, and fellesskapsadopsjon.
How Nerq Assesses Paper2Skill's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensjoner. Here is how Paper2Skill performs in each:
- Sikkerhet (0/100): Paper2Skill's sikkerhet posture is poor. This score factors in known CVEs, dependency vulnerabilities, sikkerhet policy presence, and code signing practices.
- Vedlikehold (1/100): Paper2Skill 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 dokumentasjon, usage examples, and contribution guidelines.
- Compliance (92/100): Paper2Skill is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basert på GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 64.5/100 (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 Paper2Skill?
Paper2Skill is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Paper2Skill is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sikkerhet posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Paper2Skill's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gjennomgå repository's sikkerhet policy, open issues, and recent commits for signs of active vedlikehold.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for kjente sårbarheter in Paper2Skill's dependency tree. - Anmeldelse permissions — Understand what access Paper2Skill requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Paper2Skill 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=Paper2Skill - Gjennomgå license — Confirm that Paper2Skill'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 sikkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Paper2Skill
When evaluating whether Paper2Skill is safe, consider these category-specific risks:
Understand how Paper2Skill processes, stores, and transmits your data. Gjennomgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Paper2Skill's dependency tree for kjente sårbarheter. Tools with outdated or unmaintained dependencies pose a higher sikkerhet risk.
Regularly check for updates to Paper2Skill. Sikkerhet patches and bug fixes are only effective if you're running the latest version.
If Paper2Skill 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 Paper2Skill's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Paper2Skill in violation of its license can expose your organization to legal liability.
Paper2Skill and the EU AI Act
Paper2Skill 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 samsvar assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal samsvar.
Best Practices for Using Paper2Skill Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Paper2Skill while minimizing risk:
Periodically review how Paper2Skill is used in your workflow. Check for unexpected behavior, permissions drift, and samsvar with your sikkerhet policies.
Ensure Paper2Skill and all its dependencies are running the latest stable versions to benefit from sikkerhet patches.
Grant Paper2Skill only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Paper2Skill's sikkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Paper2Skill is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Paper2Skill?
Even promising tools aren't right for every situation. Consider avoiding Paper2Skill in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional samsvar review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Paper2Skill's trust score of 64.5/100 meets your organization's risk tolerance. We recommend running a manual sikkerhet assessment alongside the automated Nerq score.
How Paper2Skill 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. Paper2Skill's score of 64.5/100 is above the category average of 62/100.
This positions Paper2Skill favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensjoner.
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 Paper2Skill 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 vedlikehold patterns change, Paper2Skill'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 sikkerhet and quality. Conversely, a downward trend may signal reduced vedlikehold, growing technical debt, or unresolved vulnerabilities. To track Paper2Skill's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Paper2Skill&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 — sikkerhet, vedlikehold, dokumentasjon, samsvar, and community — has evolved independently, providing granular visibility into which aspects of Paper2Skill are strengthening or weakening over time.
Paper2Skill vs Alternativer
In the coding category, Paper2Skill scores 64.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Paper2Skill vs AutoGPT — Trust Score: 74.7/100
- Paper2Skill vs ollama — Trust Score: 73.8/100
- Paper2Skill vs langchain — Trust Score: 86.4/100
Viktigste punkter
- Paper2Skill has a Trust Score of 64.5/100 (C) and is not yet Nerq Verified.
- Paper2Skill shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Paper2Skill scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Ofte stilte spørsmål
Er Paper2Skill trygt?
Hva er tillitspoengene til Paper2Skill?
Hva er tryggere alternativer til Paper2Skill?
Hvor ofte oppdateres Paper2Skills sikkerhetspoeng?
Kan jeg bruke Paper2Skill i et regulert miljø?
Se også
Disclaimer: Nerqs tillitspoeng er automatiserte vurderinger basert på offentlig tilgjengelige signaler. De utgjør ikke anbefalinger eller garantier. Utfør alltid din egen verifisering.