Ask Human安全吗?
Ask Human — Nerq Trust Score 48.0/100 (D级). 基于3 independent trust signals的评分。
Ask Human 是一个software tool Nerq 信任分数 48.0/100(D), 基于3个独立数据维度. 维护: 0/100. 人气度: 1/100. 数据来源于多个公共来源,包括包注册表、GitHub、NVD、OSV.dev和OpenSSF Scorecard。最后更新:n/a。 机器可读数据(JSON).
Ask Human安全吗?
信任评分详情 — Ask Human has a Nerq Trust Score of 48.0/100 (D). Measured across 3 independent trust signals.
Ask Human的信任评分是多少?
Ask Human 的 Nerq 信任分数为 48.0/100,等级为 D。该分数基于 3 个独立测量的维度,包括安全性、维护和社区采用。
Ask Human的主要安全发现是什么?
Ask Human 最强的信号是 人气,为 1/100。 未检测到已知漏洞。
Ask Human是什么,谁在维护它?
| 开发者 | https://github.com/masony817/ask-human-mcp |
| 类别 | Communication |
| 星标 | 150 |
| 来源 | https://github.com/masony817/ask-human-mcp |
communication中的热门替代品
What Is Ask Human?
Ask Human is a software tool in the communication category: Escalates questions to humans via a markdown file-based workflow.. It has 150 GitHub stars. Nerq Trust Score: 48/100 (D).
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 Ask Human's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 维度. Here is how Ask Human performs in each:
- 维护 (0/100): Ask Human 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.
- Community (1/100): Community adoption is limited. 基于 GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 48.0/100 (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 Ask Human?
Ask Human is commonly evaluated by:
- Developers and teams working with communication tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Ask Human's measured signals (维护 0/100, 文档 0/100, 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 Ask Human'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 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 known vulnerabilities in Ask Human's dependency tree. - 评论 permissions — Understand what access Ask Human requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ask Human 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=Ask Human - 查看 license — Confirm that Ask Human'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 Ask Human
When evaluating whether Ask Human is safe, consider these category-specific risks:
Understand how Ask Human processes, stores, and transmits your data. 查看 tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ask Human's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 安全性 risk.
Regularly check for updates to Ask Human. 安全性 patches and bug fixes are only effective if you're running the latest version.
If Ask Human 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 Ask Human's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ask Human in violation of its license can expose your organization to legal liability.
Best Practices for Using Ask Human Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ask Human while minimizing risk:
Periodically review how Ask Human is used in your workflow. Check for unexpected behavior, permissions drift, and 合规性 with your 安全性 policies.
Ensure Ask Human and all its dependencies are running the latest stable versions to benefit from 安全性 patches.
Grant Ask Human only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ask Human'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 Ask Human is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant 独立 Review of Ask Human
Nerq's signals are one input. In the following situations, evaluate Ask Human's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Ask Human's measured trust score of 48.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Ask Human is suitable for any particular use.
How Ask Human Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among communication tools, the average Trust Score is 62/100. Ask Human's score of 48.0/100 is below the category average of 62/100.
This suggests that Ask Human trails behind many comparable communication tools. Organizations with strict 安全性 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 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.
Trust Score History
Nerq continuously monitors Ask Human 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 维护 patterns change, Ask Human'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 Ask Human's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Ask Human&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 Ask Human are strengthening or weakening over time.
Ask Human vs 替代品
In the communication category, Ask Human scores 48.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ask Human vs Real-Time-Voice-Cloning — Trust Score: 56.9/100
- Ask Human vs ChatGPT — Trust Score: 59.4/100
- Ask Human vs jan — Trust Score: 64.4/100
主要结论
- Ask Human has a measured Nerq Trust Score of 48.0/100 (D) — a composite of independent signals, not a suitability judgment.
- Among communication tools, Ask Human scores below the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — 安全性, 维护, 文档, 合规性, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
常见问题
Ask Human安全吗?
Ask Human的信任评分是多少?
Ask Human有哪些更安全的替代品?
Ask Human的安全评分多久更新一次?
我可以在受监管的环境中使用Ask Human吗?
另请参阅
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。