Is Gogogot veilig?

Gogogot — Nerq Trust Score 48.1/100 (D-beoordeling). Score gebaseerd op 4 independent trust signals.

Gogogot is een software tool met een Nerq Vertrouwensscore van 48.1/100 (D), based on 4 onafhankelijke gegevensdimensies. Beveiliging: 0/100. Onderhoud: 1/100. Populariteit: 1/100. Gegevens afkomstig van meerdere openbare bronnen waaronder pakketregisters, GitHub, NVD, OSV.dev en OpenSSF Scorecard. Laatst bijgewerkt: n/a. Machineleesbare gegevens (JSON).

Is Gogogot veilig?

Vertrouwensscore details — Gogogot has a Nerq Trust Score of 48.1/100 (D). Measured across 4 independent trust signals.

Beveiligingsanalyse → Gogogot Privacyrapport →

Wat is de vertrouwensscore van Gogogot?

Gogogot heeft een Nerq Trust Score van 48.1/100 met het cijfer D. Deze score is gebaseerd op 4 onafhankelijk gemeten dimensies, waaronder beveiliging, onderhoud en community-adoptie.

Beveiliging
0
Onderhoud
1
Documentatie
1
Populariteit
1

Wat zijn de belangrijkste beveiligingsbevindingen voor Gogogot?

Het sterkste signaal van Gogogot is onderhoud met 1/100. Er zijn geen bekende kwetsbaarheden gedetecteerd.

⚠Beveiligingsscore: 0/100 (zwak)
⚠Onderhoud: 1/100 — lage onderhoudsactiviteit
⚠Documentatie: 1/100 — beperkte documentatie
⚠Populariteit: 1/100 — 382 sterren op github

Wat is Gogogot en wie onderhoudt het?

Ontwikkelaaraspasskiy
CategorieAgent
Sterren382
Bronhttps://github.com/aspasskiy/GoGogot
Frameworksopenai · anthropic
Protocolsrest

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What Is Gogogot?

Gogogot is a software tool in the agent category: GoGogot is a lightweight self-hosted AI agent in Go.. It has 382 GitHub stars. Nerq Trust Score: 48/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including beveiliging vulnerabilities, onderhoud activity, license naleving, and gemeenschapsacceptatie.

How Nerq Assesses Gogogot's Safety

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

The overall Trust Score of 48.1/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Gogogot?

Gogogot is commonly evaluated by:

How to read the signals: Gogogot's measured signals (beveiliging 0/100, onderhoud 1/100, documentatie 1/100, community 1/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify Gogogot's Safety Yourself

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

  1. Check the source code — Bekijk de repository's beveiliging policy, open issues, and recent commits for signs of active onderhoud.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Gogogot's dependency tree.
  3. Beoordeling permissions — Understand what access Gogogot requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Gogogot 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=GoGogot
  6. Bekijk de license — Confirm that Gogogot'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 beveiliging concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Gogogot

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

Data handling

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

Dependency beveiliging

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

Update frequency

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

Third-party integrations

If Gogogot 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 naleving

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

Best Practices for Using Gogogot Safely

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

Conduct regular audits

Periodically review how Gogogot is used in your workflow. Check for unexpected behavior, permissions drift, and naleving with your beveiliging policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for beveiliging advisories

Subscribe to Gogogot's beveiliging 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 Gogogot is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Gogogot

Nerq's signals are one input. In the following situations, evaluate Gogogot's measured signals against your own requirements before making a decision:

For each situation, compare Gogogot's measured trust score of 48.1/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Gogogot is suitable for any particular use.

How Gogogot Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among agent tools, the average Trust Score is 62/100. Gogogot's score of 48.1/100 is below the category average of 62/100.

This suggests that Gogogot trails behind many comparable agent tools. Organizations with strict beveiliging 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 matig 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 Gogogot 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 onderhoud patterns change, Gogogot'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 beveiliging and quality. Conversely, a downward trend may signal reduced onderhoud, growing technical debt, or unresolved vulnerabilities. To track Gogogot's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=GoGogot&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 — beveiliging, onderhoud, documentatie, naleving, and community — has evolved independently, providing granular visibility into which aspects of Gogogot are strengthening or weakening over time.

Gogogot vs Alternatieven

In the agent category, Gogogot scores 48.1/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Belangrijkste conclusies

Veelgestelde vragen

Is Gogogot veilig?
GoGogot met een Nerq Vertrouwensscore van 48.1/100 (D). Sterkste signaal: onderhoud (1/100). Score gebaseerd op Beveiliging (0/100), Onderhoud (1/100), Populariteit (1/100), Documentatie (1/100).
Wat is de vertrouwensscore van Gogogot?
GoGogot: 48.1/100 (D). Score gebaseerd op Beveiliging (0/100), Onderhoud (1/100), Populariteit (1/100), Documentatie (1/100). Scores worden bijgewerkt wanneer nieuwe data beschikbaar komen. API: GET nerq.ai/v1/preflight?target=GoGogot
Wat zijn veiligere alternatieven voor Gogogot?
In de categorie Agent, higher-rated alternatives include pocketpaw/pocketpaw (66/100), epiral/agent-clip (48/100), krillclaw/KrillClaw (55/100). GoGogot scores 48.1/100.
Hoe vaak wordt de beveiligingsscore van Gogogot bijgewerkt?
Nerq recomputes Gogogot's trust score as new data becomes available. Current: 48.1/100 (D). API: GET nerq.ai/v1/preflight?target=GoGogot
Kan ik Gogogot gebruiken in een gereguleerde omgeving?
Gogogot: 48.1/100 (D). Compliance signals are shown in the breakdown above. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Zie ook

Disclaimer: Nerq-vertrouwensscores zijn geautomatiseerde beoordelingen op basis van openbaar beschikbare signalen. Ze vormen geen aanbeveling of garantie. Voer altijd uw eigen verificatie uit.

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