Agentic Coding Files安全吗?
Agentic Coding Files — Nerq 信任评分 62.2/100 (C级). 基于5个信任维度的分析,被评估为总体安全但存在一些担忧。 最后更新:2026-04-03。
请谨慎使用Agentic Coding Files。 Agentic Coding Files is a software tool Nerq 信任评分为 62.2/100 (C), based on 5 独立数据维度. 低于推荐阈值 70。 安全性: 0/100. 维护: 1/100. Popularity: 0/100. 数据来源于 multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. 最后更新: 2026-04-03. 机器可读数据(JSON).
Agentic Coding Files安全吗?
谨慎 — Agentic Coding Files Nerq 信任评分为 62.2/100 (C). 信任信号中等,但存在一些值得关注的方面. 适合用于开发环境 — 在生产部署前请查看安全性和维护信号.
Agentic Coding Files的信任评分是多少?
Agentic Coding Files Nerq 信任评分为 62.2/100, earning a C grade. This score is based on 5 independently measured 维度 including 安全性, 维护, and 社区采用.
Agentic Coding Files的主要安全发现是什么?
Agentic Coding Files's strongest signal is 合规性 at 100/100. No 已知漏洞 have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Agentic Coding Files是什么,谁在维护它?
| 开发者 | atacan |
| 类别 | coding |
| 来源 | https://github.com/atacan/agentic-coding-files |
| Frameworks | anthropic |
合规性
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| 管辖权s | Assessed across 52 司法管辖区s |
coding中的热门替代品
What Is Agentic Coding Files?
Agentic Coding Files is a software tool in the coding category: Prompts, Skills and Scripts for agentic coding. Nerq 信任评分: 62/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including 安全性 vulnerabilities, 维护 activity, license 合规性, and 社区采用.
How Nerq Assesses Agentic Coding Files's Safety
Nerq's 信任评分 is calculated from 13+ independent signals aggregated into five 维度. Here is how Agentic Coding Files performs in each:
- 安全性 (0/100): Agentic Coding Files's 安全性 posture is poor. This score factors in known CVEs, dependency vulnerabilities, 安全性 policy presence, and code signing practices.
- 维护 (1/100): Agentic Coding Files 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 文档, usage examples, and contribution guidelines.
- Compliance (100/100): Agentic Coding Files is broadly compliant. Assessed against regulations in 52 司法管辖区s including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. 基于 GitHub stars, forks, download counts, and ecosystem integrations.
The overall 信任评分 of 62.2/100 (C) 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 Agentic Coding Files?
Agentic Coding Files 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: Agentic Coding Files is suitable for development and testing environments. Before production deployment, conduct a thorough review of its 安全性 posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Agentic Coding Files's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — 查看 repository's 安全性 policy, open issues, and recent commits for signs of active 维护.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for 已知漏洞 in Agentic Coding Files's dependency tree. - 评论 permissions — Understand what access Agentic Coding Files requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agentic Coding Files 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=agentic-coding-files - 查看 license — Confirm that Agentic Coding Files'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 安全性 concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Agentic Coding Files
When evaluating whether Agentic Coding Files is safe, consider these category-specific risks:
Understand how Agentic Coding Files processes, stores, and transmits your data. 查看 tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agentic Coding Files's dependency tree for 已知漏洞. Tools with outdated or unmaintained dependencies pose a higher 安全性 risk.
Regularly check for updates to Agentic Coding Files. 安全性 patches and bug fixes are only effective if you're running the latest version.
If Agentic Coding Files 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 Agentic Coding Files's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Agentic Coding Files in violation of its license can expose your organization to legal liability.
Agentic Coding Files and the EU AI Act
Agentic Coding Files 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 合规性 assessment covers 52 司法管辖区s worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal 合规性.
Best Practices for Using Agentic Coding Files Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agentic Coding Files while minimizing risk:
Periodically review how Agentic Coding Files is used in your workflow. Check for unexpected behavior, permissions drift, and 合规性 with your 安全性 policies.
Ensure Agentic Coding Files and all its dependencies are running the latest stable versions to benefit from 安全性 patches.
Grant Agentic Coding Files only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agentic Coding Files's 安全性 advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Agentic Coding Files is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Agentic Coding Files?
Even promising tools aren't right for every situation. Consider avoiding Agentic Coding Files in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional 合规性 review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Agentic Coding Files的信任评分为 62.2/100 meets your organization's risk tolerance. We recommend running a manual 安全性 assessment alongside the automated Nerq score.
How Agentic Coding Files Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average 信任评分 is 62/100. Agentic Coding Files's score of 62.2/100 is above the category average of 62/100.
This positions Agentic Coding Files favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust 维度.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks 中等 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.
信任评分 History
Nerq continuously monitors Agentic Coding Files and recalculates its 信任评分 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 维护 patterns change, Agentic Coding Files'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 安全性 and quality. Conversely, a downward trend may signal reduced 维护, growing technical debt, or unresolved vulnerabilities. To track Agentic Coding Files's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agentic-coding-files&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 — 安全性, 维护, 文档, 合规性, and community — has evolved independently, providing granular visibility into which aspects of Agentic Coding Files are strengthening or weakening over time.
Agentic Coding Files vs 替代品
In the coding category, Agentic Coding Files scores 62.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Agentic Coding Files vs AutoGPT — 信任评分: 74.7/100
- Agentic Coding Files vs ollama — 信任评分: 73.8/100
- Agentic Coding Files vs langchain — 信任评分: 86.4/100
主要结论
- Agentic Coding Files has a 信任评分 of 62.2/100 (C) and is not yet Nerq Verified.
- Agentic Coding Files shows 中等 trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Agentic Coding Files scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
常见问题
Agentic Coding Files可以安全使用吗?
Agentic Coding Files's trust score是什么?
Agentic Coding Files有哪些更安全的替代品?
How often is Agentic Coding Files's safety score updated?
我可以在受监管环境中使用Agentic Coding Files吗?
Disclaimer: Nerq 信任评分是基于公开信号的自动评估。它们不构成建议或保证。请始终进行自己的验证。