Local Docs é seguro?
Local Docs — Nerq Trust Score 44.7/100 (Grau E). Com base na análise de 3 dimensões de confiança, é tem preocupações de segurança notáveis. Última atualização: 2026-03-31.
Tenha cautela com Local Docs. Local Docs is a software tool com uma Pontuação de Confiança Nerq de 44.7/100 (E), based on 3 independent data dimensions. It is below the recommended threshold of 70. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. Dados legíveis por máquina (JSON).
Local Docs é seguro?
NO — USE WITH CAUTION — Local Docs tem uma Pontuação de Confiança Nerq de 44.7/100 (E). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
Qual é a pontuação de confiança de Local Docs?
Local Docs tem uma Pontuação de Confiança Nerq de 44.7/100, obtendo grau E. Esta pontuação é baseada em 3 dimensões medidas independentemente.
Quais são as principais descobertas de segurança de Local Docs?
O sinal mais forte de Local Docs é manutenção com 0/100. Nenhuma vulnerabilidade conhecida foi detectada. Ainda não atingiu o limiar verificado Nerq de 70+.
O que é Local Docs e quem o mantém?
| Autor | https://github.com/umputun/local-docs-mcp |
| Categoria | coding |
| Stars | 11 |
| Source | https://github.com/umputun/local-docs-mcp |
Alternativas Populares em coding
What Is Local Docs?
Local Docs is a software tool in the coding category: Local Docs provides seamless access to local markdown documentation.. It has 11 GitHub stars. Nerq Trust Score: 45/100 (E).
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 Local Docs's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Local Docs performs in each:
- Manutenção (0/100): Local Docs is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 44.7/100 (E) 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 Local Docs?
Local Docs 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: We recommend caution with Local Docs. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Local Docs's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Local Docs's dependency tree. - Avaliação permissions — Understand what access Local Docs requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Local Docs 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=Local Docs - Revise o/a license — Confirm that Local Docs'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Local Docs
When evaluating whether Local Docs is safe, consider these category-specific risks:
Understand how Local Docs processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Local Docs's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Local Docs. Security patches and bug fixes are only effective if you're running the latest version.
If Local Docs 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 Local Docs's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Local Docs in violation of its license can expose your organization to legal liability.
Best Practices for Using Local Docs Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Local Docs while minimizing risk:
Periodically review how Local Docs is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Local Docs and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Local Docs only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Local Docs's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Local Docs is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Local Docs?
Even promising tools aren't right for every situation. Consider avoiding Local Docs in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Local Docs de 44.7/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Local Docs 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. Local Docs's score of 44.7/100 is below the category average of 62/100.
This suggests that Local Docs trails behind many comparable coding tools. Organizations with strict security 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 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 Local Docs 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, Local Docs'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 Local Docs's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Local Docs&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 Local Docs are strengthening or weakening over time.
Local Docs vs Alternatives
In the coding category, Local Docs scores 44.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Local Docs vs AutoGPT — Trust Score: 74.7/100
- Local Docs vs ollama — Trust Score: 73.8/100
- Local Docs vs langchain — Trust Score: 86.4/100
Pontos Principais
- Local Docs tem uma Pontuação de Confiança de 44.7/100 (E) and is not yet Nerq Verified.
- Local Docs has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among coding tools, Local Docs scores below the category average of 62/100, 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.
Perguntas Frequentes
É Local Docs seguro para usar?
O que é Local Docs's trust score?
Quais são alternativas mais seguras a Local Docs?
How often is Local Docs's safety score updated?
Can I use Local Docs in a regulated environment?
Disclaimer: As pontuações de confiança da Nerq são avaliações automatizadas baseadas em sinais publicamente disponíveis. Não são endossos ou garantias. Sempre realize sua própria verificação.