Er Hackquest Ai trygt?
Hackquest Ai — Nerq Trust Score 56.8/100 (Karakter C). Basert på analyse av 5 tillidsdimensjoner vurderes det som har merkbare sikkerhetsproblemer. Sist oppdatert: 2026-06-01.
Bruk Hackquest Ai med forsiktighet. Hackquest Ai er en software tool har en Nerq-tillitspoeng på 56.8/100 (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: 2026-06-01. Maskinlesbare data (JSON).
Er Hackquest Ai trygt?
CAUTION — Hackquest Ai har en Nerq-tillitspoeng på 56.8/100 (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 Hackquest Ai?
Hackquest Ai har en Nerq-tillitspoeng på 56.8/100 med karakteren C. Denne poengsummen er basert på 5 uavhengig målte dimensjoner, inkludert sikkerhet, vedlikehold og samfunnsadopsjon.
Hva er de viktigste sikkerhetsfunnene for Hackquest Ai?
Hackquest Ais sterkeste signal er samsvar på 100/100. Ingen kjente sårbarheter er funnet. It has not yet reached the Nerq Verified threshold of 70+.
Hva er Hackquest Ai og hvem vedlikeholder det?
| Utvikler | purvanshjoshi |
| Kategori | Devops |
| Stjerner | 2 |
| Kilde | https://github.com/purvanshjoshi/hackquest-ai |
| Frameworks | langchain |
| Protocols | rest · websocket |
Regulatorisk samsvar
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i devops
What Is Hackquest Ai?
Hackquest Ai is a DevOps tool: Agentic tournament intelligence platform for hackathon discovery.. It has 2 GitHub stars. Nerq Trust Score: 57/100 (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 Hackquest Ai's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensjoner. Here is how Hackquest Ai performs in each:
- Sikkerhet (0/100): Hackquest Ai's sikkerhet posture is poor. This score factors in known CVEs, dependency vulnerabilities, sikkerhet policy presence, and code signing practices.
- Vedlikehold (1/100): Hackquest Ai 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 (100/100): Hackquest Ai 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 56.8/100 (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 Hackquest Ai?
Hackquest Ai is designed for:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Hackquest Ai 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 Hackquest Ai'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 Hackquest Ai's dependency tree. - Anmeldelse permissions — Understand what access Hackquest Ai requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Hackquest Ai 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=hackquest-ai - Gjennomgå license — Confirm that Hackquest Ai'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 Hackquest Ai
When evaluating whether Hackquest Ai is safe, consider these category-specific risks:
Understand how Hackquest Ai processes, stores, and transmits your data. Gjennomgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Hackquest Ai's dependency tree for kjente sårbarheter. Tools with outdated or unmaintained dependencies pose a higher sikkerhet risk.
Regularly check for updates to Hackquest Ai. Sikkerhet patches and bug fixes are only effective if you're running the latest version.
If Hackquest Ai 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 Hackquest Ai's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Hackquest Ai in violation of its license can expose your organization to legal liability.
Hackquest Ai and the EU AI Act
Hackquest Ai 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 Hackquest Ai Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Hackquest Ai while minimizing risk:
Periodically review how Hackquest Ai is used in your workflow. Check for unexpected behavior, permissions drift, and samsvar with your sikkerhet policies.
Ensure Hackquest Ai and all its dependencies are running the latest stable versions to benefit from sikkerhet patches.
Grant Hackquest Ai only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Hackquest Ai's sikkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Hackquest Ai is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Hackquest Ai?
Even promising tools aren't right for every situation. Consider avoiding Hackquest Ai 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 Hackquest Ai's trust score of 56.8/100 meets your organization's risk tolerance. We recommend running a manual sikkerhet assessment alongside the automated Nerq score.
How Hackquest Ai Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Hackquest Ai's score of 56.8/100 is near the category average of 63/100.
This places Hackquest Ai in line with the typical DevOps 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 Hackquest Ai 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, Hackquest Ai'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 Hackquest Ai's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=hackquest-ai&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 Hackquest Ai are strengthening or weakening over time.
Hackquest Ai vs Alternativer
In the devops category, Hackquest Ai scores 56.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Hackquest Ai vs ansible — Trust Score: 76.8/100
- Hackquest Ai vs Flowise — Trust Score: 63.3/100
- Hackquest Ai vs learn-claude-code — Trust Score: 69.2/100
Viktigste punkter
- Hackquest Ai has a Trust Score of 56.8/100 (C) and is not yet Nerq Verified.
- Hackquest Ai shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among DevOps tools, Hackquest Ai scores near the category average of 63/100, 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.
Detaljert poenganalyse
| Dimension | Score |
|---|---|
| Sikkerhet | 0/100 |
| Vedlikehold | 1/100 |
| Popularitet | 0/100 |
Basert på 3 dimensjoner. Data from flere offentlige kilder inkludert pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard.
Hvilke data samler Hackquest Ai inn?
Personvern assessment for Hackquest Ai is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Er Hackquest Ai sikkert?
Sikkerhet score: 0/100. Review sikkerhet practices and consider alternatives with higher sikkerhet scores for sensitive use cases.
Nerq overvåker denne enheten mot NVD, OSV.dev og registerspesifikke sårbarhetsdatabaser for løpende sikkerhetsvurdering.
Full analyse: Hackquest Ai sikkerhetsrapport
Slik beregnet vi denne poengsummen
Hackquest Ai's trust score of 56.8/100 (C) beregnes fra flere offentlige kilder inkludert pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Poengsummen gjenspeiler 3 uavhengige dimensjoner: sikkerhet (0/100), vedlikehold (1/100), popularitet (0/100). Hver dimensjon vektes likt for å produsere det samlede tillitspoenget.
Nerq analyserer over 7,5 millioner enheter i 26 registre med samme metodikk, noe som muliggjør direkte sammenligning mellom enheter. Poeng oppdateres fortløpende etter hvert som nye data blir tilgjengelige.
Denne siden ble sist gjennomgått den June 01, 2026. Dataversjon: 1.0.
Ofte stilte spørsmål
Er Hackquest Ai trygt?
Hva er tillitspoengene til Hackquest Ai?
Hva er tryggere alternativer til Hackquest Ai?
Hvor ofte oppdateres Hackquest Ais sikkerhetspoeng?
Kan jeg bruke Hackquest Ai 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.