Är Misskeyskill säker?

Misskeyskill — Nerq Trust Score 49.5/100 (Betyg D). Baserat på analys av 4 tillitsdimensioner bedöms det som har anmärkningsvärda säkerhetsproblem. Senast uppdaterad: 2026-04-16.

Var försiktig med Misskeyskill. Misskeyskill är en programvara (ai agent misskey skill) med ett Nerq-förtroendepoäng på 49.5/100 (D), baserat på 4 oberoende datadimensioner. Under Nerqs verifierade tröskel Säkerhet: 0/100. Underhåll: 0/100. Popularitet: 0/100. Data hämtad från flera offentliga källor inklusive paketregister, GitHub, NVD, OSV.dev och OpenSSF Scorecard. Senast uppdaterad: 2026-04-16. Maskinläsbar data (JSON).

Är Misskeyskill säker?

NO — USE WITH CAUTION — Misskeyskill has a Nerq Trust Score of 49.5/100 (D). Har lägre än genomsnittliga förtroendesignaler med betydande luckor in säkerhet, underhåll, or dokumentation. Not recommended for production use without thorough manual review and additional säkerhet measures.

Säkerhetsanalys → Misskeyskill integritetsrapport →

Vad är Misskeyskills förtroendepoäng?

Misskeyskill har ett Nerq-förtroendepoäng på 49.5/100 med betyget D. Denna poäng baseras på 4 oberoende mätta dimensioner inklusive säkerhet, underhåll och communityanvändning.

Säkerhet
0
Underhåll
0
Dokumentation
0
Popularitet
0

Vilka är de viktigaste säkerhetsresultaten för Misskeyskill?

Misskeyskills starkaste signal är säkerhet på 0/100. Inga kända sårbarheter har upptäckts. Har ännu inte nått Nerqs verifieringströskel på 70+.

Säkerhetspoäng: 0/100 (svag)
Underhåll: 0/100 — låg underhållsaktivitet
Dokumentation: 0/100 — begränsad dokumentation
Popularitet: 0/100 — community-antagande

Vad är Misskeyskill och vem underhåller det?

Utvecklarehimeteam
KategoriUncategorized
Källahttps://github.com/himeteam/misskeyskill

What Is Misskeyskill?

Misskeyskill is a programvara in the uncategorized category: ai agent misskey skill. Nerq Trust Score: 50/100 (D).

Nerq independently analyzes every programvara, app, and extension across multiple trust signals including säkerhet vulnerabilities, underhåll activity, license regelefterlevnad, and communityanvändning.

How Nerq Assesses Misskeyskill's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Misskeyskill performs in each:

The overall Trust Score of 49.5/100 (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 Misskeyskill?

Misskeyskill is designed for:

Risk guidance: We recommend caution with Misskeyskill. The low trust score suggests potential risks in säkerhet, underhåll, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Misskeyskill's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any programvara:

  1. Check the source code — Granska repository's säkerhet policy, open issues, and recent commits for signs of active underhåll.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Misskeyskill's dependency tree.
  3. Recension permissions — Understand what access Misskeyskill requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Misskeyskill in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=misskeyskill
  6. Granska license — Confirm that Misskeyskill'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.
  7. 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 säkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Misskeyskill

When evaluating whether Misskeyskill is safe, consider these category-specific risks:

Data handling

Understand how Misskeyskill processes, stores, and transmits your data. Granska tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency säkerhet

Check Misskeyskill's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher säkerhet risk.

Update frequency

Regularly check for updates to Misskeyskill. Säkerhet patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Misskeyskill 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.

License and IP regelefterlevnad

Verify that Misskeyskill's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Misskeyskill in violation of its license can expose your organization to legal liability.

Best Practices for Using Misskeyskill Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Misskeyskill while minimizing risk:

Conduct regular audits

Periodically review how Misskeyskill is used in your workflow. Check for unexpected behavior, permissions drift, and regelefterlevnad with your säkerhet policies.

Keep dependencies updated

Ensure Misskeyskill and all its dependencies are running the latest stable versions to benefit from säkerhet patches.

Follow least privilege

Grant Misskeyskill only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for säkerhet advisories

Subscribe to Misskeyskill's säkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Misskeyskill is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Misskeyskill?

Even promising tools aren't right for every situation. Consider avoiding Misskeyskill in these scenarios:

For each scenario, evaluate whether Misskeyskill's trust score of 49.5/100 meets your organization's risk tolerance. We recommend running a manual säkerhet assessment alongside the automated Nerq score.

How Misskeyskill Compares to Industry Standards

Nerq indexes over 6 million programvaras, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Misskeyskill's score of 49.5/100 is below the category average of 62/100.

This suggests that Misskeyskill trails behind many comparable uncategorized tools. Organizations with strict säkerhet requirements should evaluate whether higher-scoring alternatives better meet their needs.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks måttlig 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 Misskeyskill 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 underhåll patterns change, Misskeyskill'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 säkerhet and quality. Conversely, a downward trend may signal reduced underhåll, growing technical debt, or unresolved vulnerabilities. To track Misskeyskill's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=misskeyskill&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 — säkerhet, underhåll, dokumentation, regelefterlevnad, and community — has evolved independently, providing granular visibility into which aspects of Misskeyskill are strengthening or weakening over time.

Viktigaste slutsatser

Vanliga frågor

Är Misskeyskill säker?
Var försiktig. misskeyskill med ett Nerq-förtroendepoäng på 49.5/100 (D). Starkaste signalen: säkerhet (0/100). Poäng baserad på Säkerhet (0/100), Underhåll (0/100), Popularitet (0/100), Dokumentation (0/100).
Vad är Misskeyskills förtroendepoäng?
misskeyskill: 49.5/100 (D). Poäng baserad på Säkerhet (0/100), Underhåll (0/100), Popularitet (0/100), Dokumentation (0/100). Poäng uppdateras när ny data finns tillgänglig. API: GET nerq.ai/v1/preflight?target=misskeyskill
Vilka är säkrare alternativ till Misskeyskill?
I kategorin Uncategorized, fler programvara analyseras — kom tillbaka snart. misskeyskill scores 49.5/100.
Hur ofta uppdateras Misskeyskills säkerhetspoäng?
Nerq continuously monitors Misskeyskill and updates its trust score as new data becomes available. Current: 49.5/100 (D), last verifierad 2026-04-16. API: GET nerq.ai/v1/preflight?target=misskeyskill
Kan jag använda Misskeyskill i en reglerad miljö?
Misskeyskill har inte nått Nerqs verifieringsgräns på 70. Ytterligare granskning rekommenderas.
API: /v1/preflight Trust Badge API Docs

Se även

Disclaimer: Nerqs förtroendepoäng är automatiserade bedömningar baserade på offentligt tillgängliga signaler. De utgör inte rekommendationer eller garantier. Gör alltid din egen verifiering.

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