X Algo Skill安全吗?
X Algo Skill — Nerq Trust Score 61.3/100 (C级). 基于5 independent trust signals的评分。
X Algo Skill 是一个software tool Nerq 信任分数 61.3/100(C), 基于5个独立数据维度. 安全: 0/100. 维护: 1/100. 人气度: 0/100. 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).
X Algo Skill安全吗?
信任评分详情 — X Algo Skill has a Nerq Trust Score of 61.3/100 (C). Measured across 5 independent trust signals.
X Algo Skill的信任评分是多少?
X Algo Skill 的 Nerq 信任分数为 61.3/100,等级为 C。该分数基于 5 个独立测量的维度,包括安全性、维护和社区采用。
X Algo Skill的主要安全发现是什么?
X Algo Skill 最强的信号是 合规性,为 96/100。 未检测到已知漏洞。
X Algo Skill是什么,谁在维护它?
| 开发者 | 609NFT |
| 类别 | Marketing |
| 来源 | https://github.com/609NFT/x-algo-skill |
| Frameworks | anthropic |
| Protocols | rest |
合规性
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 96/100 |
| 管辖权s | Assessed across 52 司法管辖区s |
marketing中的热门替代品
What Is X Algo Skill?
X Algo Skill is a software tool in the marketing category: AI agent for optimizing tweets using the X algorithm.. Nerq Trust Score: 61/100 (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 X Algo Skill's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 维度. Here is how X Algo Skill performs in each:
- 安全性 (0/100): X Algo Skill'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): X Algo Skill is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API 文档, usage examples, and contribution guidelines.
- Compliance (96/100): X Algo Skill 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 Trust Score of 61.3/100 (C) 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 X Algo Skill?
X Algo Skill is commonly evaluated by:
- Developers and teams working with marketing tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: X Algo Skill's measured signals (安全性 0/100, 维护 1/100, 文档 1/100, community 0/100) 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 X Algo Skill'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 known vulnerabilities in X Algo Skill's dependency tree. - 评论 permissions — Understand what access X Algo Skill requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run X Algo Skill 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=x-algo-skill - 查看 license — Confirm that X Algo Skill'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 X Algo Skill
When evaluating whether X Algo Skill is safe, consider these category-specific risks:
Understand how X Algo Skill processes, stores, and transmits your data. 查看 tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check X Algo Skill's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 安全性 risk.
Regularly check for updates to X Algo Skill. 安全性 patches and bug fixes are only effective if you're running the latest version.
If X Algo Skill 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 X Algo Skill's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using X Algo Skill in violation of its license can expose your organization to legal liability.
X Algo Skill and the EU AI Act
X Algo Skill 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 X Algo Skill Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from X Algo Skill while minimizing risk:
Periodically review how X Algo Skill is used in your workflow. Check for unexpected behavior, permissions drift, and 合规性 with your 安全性 policies.
Ensure X Algo Skill and all its dependencies are running the latest stable versions to benefit from 安全性 patches.
Grant X Algo Skill only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to X Algo Skill'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 X Algo Skill is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant 独立 Review of X Algo Skill
Nerq's signals are one input. In the following situations, evaluate X Algo Skill'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 X Algo Skill's measured trust score of 61.3/100 and its individual signals against your organization's own criteria. Nerq does not assert whether X Algo Skill is suitable for any particular use.
How X Algo Skill Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among marketing tools, the average Trust Score is 62/100. X Algo Skill's score of 61.3/100 is near the category average of 62/100.
This places X Algo Skill in line with the typical marketing 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 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 X Algo Skill 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, X Algo Skill'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 X Algo Skill's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=x-algo-skill&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 X Algo Skill are strengthening or weakening over time.
X Algo Skill vs 替代品
In the marketing category, X Algo Skill scores 61.3/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- X Algo Skill vs TrendRadar — Trust Score: 66.6/100
- X Algo Skill vs Resume-Matcher — Trust Score: 61.9/100
- X Algo Skill vs BlackFriday-GPTs-Prompts — Trust Score: 60.2/100
主要结论
- X Algo Skill has a measured Nerq Trust Score of 61.3/100 (C) — a composite of independent signals, not a suitability judgment.
- Among marketing tools, X Algo Skill scores near 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
X Algo Skill安全吗?
X Algo Skill的信任评分是多少?
X Algo Skill有哪些更安全的替代品?
X Algo Skill的安全评分多久更新一次?
我可以在受监管的环境中使用X Algo Skill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。