Deepagent Bot은(는) 안전한가요?

Deepagent Bot — Nerq 신뢰 점수 57.7/100 (D 등급). 5개의 신뢰 차원 분석 결과, 주목할 만한 보안 우려가 있음으로 평가됩니다. 마지막 업데이트: 2026-04-02.

Deepagent Bot을(를) 주의하며 사용하세요. Deepagent Bot is a software tool Nerq 신뢰 점수 57.7/100 (D), based on 5 independent data dimensions. 권장 기준인 70 미만입니다. 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: 2026-04-02. 기계 판독 가능 데이터 (JSON).

Deepagent Bot은(는) 안전한가요?

주의 — Deepagent Bot 의 Nerq 신뢰 점수는 57.7/100 (D). 보통 수준의 신뢰 신호가 있지만 주의가 필요한 일부 우려 사항이 있습니다. 개발 사용에 적합 — 프로덕션 배포 전 보안 및 유지보수 신호를 검토하세요.

보안 분석 → {name} 개인정보 보고서 →

Deepagent Bot의 신뢰 점수는?

Deepagent Bot 의 Nerq 신뢰 점수는 57.7/100, earning a D grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

보안
0
규정 준수
100
유지보수
1
문서화
1
인기도
0

Deepagent Bot의 주요 보안 발견 사항은?

Deepagent Bot's strongest signal is 규정 준수 at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

보안 점수: 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

Deepagent Bot은(는) 무엇이며 누가 관리하나요?

개발자SpecForgeAI
카테고리devops
출처https://github.com/SpecForgeAI/deepagent-bot
Frameworkslangchain · openai
Protocolsrest

규정 준수

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

devops의 인기 대안

ansible/ansible
84.3/100 · A
github
FlowiseAI/Flowise
76.9/100 · B
github
shareAI-lab/learn-claude-code
81.5/100 · A
github
continuedev/continue
84.4/100 · A
github
wshobson/agents
88.7/100 · A
github

What Is Deepagent Bot?

Deepagent Bot is a DevOps tool: Cross-Platform AI Agent with Skills and Tools for DevOps. Nerq 신뢰 점수: 58/100 (D).

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 Deepagent Bot's Safety

Nerq's 신뢰 점수 is calculated from 13+ independent signals aggregated into five dimensions. Here is how Deepagent Bot performs in each:

The overall 신뢰 점수 of 57.7/100 (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 Deepagent Bot?

Deepagent Bot is designed for:

Risk guidance: Deepagent Bot is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Deepagent Bot'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 Deepagent Bot's dependency tree.
  3. 리뷰 permissions — Understand what access Deepagent Bot requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Deepagent Bot 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=deepagent-bot
  6. 다음을 검토하세요: license — Confirm that Deepagent Bot'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 Deepagent Bot

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

Data handling

Understand how Deepagent Bot 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 Deepagent Bot's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

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

Third-party integrations

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

Deepagent Bot and the EU AI Act

Deepagent Bot 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 Deepagent Bot Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

Subscribe to Deepagent Bot'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 Deepagent Bot is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Deepagent Bot?

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

For each scenario, evaluate whether Deepagent Bot의 신뢰 점수 57.7/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Deepagent Bot Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average 신뢰 점수 is 63/100. Deepagent Bot's score of 57.7/100 is near the category average of 63/100.

This places Deepagent Bot 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 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.

신뢰 점수 History

Nerq continuously monitors Deepagent Bot and recalculates its 신뢰 점수 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, Deepagent Bot'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 Deepagent Bot's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=deepagent-bot&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 Deepagent Bot are strengthening or weakening over time.

Deepagent Bot vs Alternatives

devops 카테고리에서, Deepagent Bot의 점수는 57.7/100입니다. There are higher-scoring alternatives available. For a detailed comparison, see:

주요 요점

자주 묻는 질문

Deepagent Bot은(는) 사용하기에 안전한가요?
주의하며 사용하세요. deepagent-bot 의 Nerq 신뢰 점수는 57.7/100 (D). 가장 강력한 신호: 규정 준수 (100/100). 점수 기반: security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100).
Deepagent Bot's trust score이(가) 무엇인가요?
deepagent-bot: 57.7/100 (D). 점수 기반:: security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100). Compliance: 100/100. 새로운 데이터가 제공되면 점수가 업데이트됩니다. API: GET nerq.ai/v1/preflight?target=deepagent-bot
Deepagent Bot의 더 안전한 대안은 무엇인가요?
devops 카테고리에서, 더 높은 평가를 받은 대안으로는 ansible/ansible (84/100), FlowiseAI/Flowise (77/100), shareAI-lab/learn-claude-code (82/100). deepagent-bot의 점수는 57.7/100입니다.
How often is Deepagent Bot's safety score updated?
Nerq continuously monitors Deepagent Bot 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: 57.7/100 (D), last verified 2026-04-02. API: GET nerq.ai/v1/preflight?target=deepagent-bot
Deepagent Bot을(를) 규제 환경에서 사용할 수 있나요?
Deepagent Bot has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.

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