Je Code Ingest bezpečný?

Code Ingest — Nerq Trust Score 71.3/100 (Stupeň B). Na základě analýzy 5 dimenzí důvěryhodnosti je obecně bezpečný, ale s některými obavami. Naposledy aktualizováno: 2026-03-30.

Ano, Code Ingest je bezpečný k použití. Code Ingest is a software tool se skóre důvěryhodnosti Nerq 71.3/100 (B), based on 5 independent data dimensions. It is recommended for use. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-30. Strojově čitelná data (JSON).

Je Code Ingest bezpečný?

ANO — Code Ingest má skóre důvěryhodnosti Nerq 71.3/100 (B). Splňuje práh důvěryhodnosti Nerq se silnými signály v oblasti bezpečnosti, údržby a přijetí komunitou. Recommended for use — přečtěte si úplnou zprávu níže pro konkrétní úvahy.

Bezpečnostní analýza → Zpráva o soukromí {name} →

Jaké je skóre důvěryhodnosti Code Ingest?

Code Ingest má Nerq skóre důvěryhodnosti 71.3/100 se stupněm B. Toto skóre je založeno na 5 nezávisle měřených dimenzích.

Bezpečnost
0
Shoda
100
Údržba
1
Dokumentace
1
Popularita
0

Jaká jsou klíčová bezpečnostní zjištění pro Code Ingest?

Nejsilnější signál Code Ingest je shoda na 100/100. Nebyly zjištěny žádné známé zranitelnosti. Splňuje ověřený práh Nerq 70+.

Bezpečnostní skóre: 0/100 (weak)
Maintenance: 1/100 — low maintenance activity
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 1/100 — limited documentation
Popularity: 0/100 — community adoption

Co je Code Ingest a kdo jej spravuje?

Autoroikonai
Kategoriecoding
Zdrojhttps://github.com/oikonai/code-ingest
Frameworksanthropic · mcp
Protocolsmcp · rest

Regulační shoda

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

Populární alternativy v coding

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
86.4/100 · A
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
87.9/100 · A
github

What Is Code Ingest?

Code Ingest is a software tool in the coding category: Tool for ingesting code repos and mapping an MCP server over them. Nerq Trust Score: 71/100 (B).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Code Ingest's Safety

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

The overall Trust Score of 71.3/100 (B) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.

Who Should Use Code Ingest?

Code Ingest is designed for:

Risk guidance: Code Ingest meets the minimum threshold for production use, but we recommend monitoring for security advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.

How to Verify Code Ingest's Safety Yourself

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

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

Common Safety Concerns with Code Ingest

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

Data handling

Understand how Code Ingest processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Code Ingest's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

If Code Ingest 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 compliance

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

Code Ingest and the EU AI Act

Code Ingest 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 compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.

Best Practices for Using Code Ingest Safely

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

Conduct regular audits

Periodically review how Code Ingest is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Code Ingest and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

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

Monitor for security advisories

Subscribe to Code Ingest's security 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 Code Ingest is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Code Ingest?

Even well-trusted tools aren't right for every situation. Consider avoiding Code Ingest in these scenarios:

skóre důvěryhodnosti

For each scenario, evaluate whether Code Ingest 71.3/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.

How Code Ingest 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. Code Ingest's score of 71.3/100 is above the category average of 62/100.

This positions Code Ingest favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.

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

Code Ingest vs Alternatives

V kategorii coding, Code Ingest získal skóre 71.3/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Hlavní závěry

Často kladené otázky

Je Code Ingest bezpečný k použití?
Ano, je bezpečný k použití. code-ingest má skóre důvěryhodnosti Nerq 71.3/100 (B). Nejsilnější signál: shoda (100/100). Skóre založeno na security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100).
Jaké je skóre důvěryhodnosti Code Ingest?
code-ingest: 71.3/100 (B). Skóre založeno na: security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100). Compliance: 100/100. Skóre se aktualizují, jakmile jsou k dispozici nová data. API: GET nerq.ai/v1/preflight?target=code-ingest
Jaké jsou bezpečnější alternativy k Code Ingest?
V kategorii coding, lépe hodnocené alternativy zahrnují Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). code-ingest získal skóre 71.3/100.
How often is Code Ingest's safety score updated?
Nerq continuously monitors Code Ingest and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 71.3/100 (B), last verified 2026-03-30. API: GET nerq.ai/v1/preflight?target=code-ingest
Mohu použít Code Ingest v regulovaném prostředí?
Yes — Code Ingest meets the Nerq Verified threshold (70+). Combine this with your internal security review for regulated deployments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Skóre důvěryhodnosti Nerq jsou automatizovaná hodnocení založená na veřejně dostupných signálech. Nejsou doporučením ani zárukou. Vždy proveďte vlastní ověření.