Llm Plugin Testerは安全ですか?
Llm Plugin Tester — Nerq Trust Score 62.5/100 (Cグレード). スコアの基準: 5 independent trust signals.
Llm Plugin Tester はsoftware toolです Nerq信頼スコア62.5/100(C), 5つの独立したデータ次元に基づく. セキュリティ: 0/100. メンテナンス: 1/100. 人気度: 0/100. データソース: パッケージレジストリ、GitHub、NVD、OSV.dev、OpenSSF Scorecardを含む複数の公開ソース. 最終更新: n/a. 機械可読データ(JSON).
Llm Plugin Testerは安全ですか?
信頼スコアの内訳 — Llm Plugin Tester has a Nerq Trust Score of 62.5/100 (C). Measured across 5 independent trust signals.
Llm Plugin Testerの信頼スコアは?
Llm Plugin TesterのNerq信頼スコアは62.5/100で、Cグレードです。このスコアはセキュリティ、メンテナンス、コミュニティ採用を含む5の独立した次元に基づいています。
Llm Plugin Testerの主なセキュリティ調査結果は?
Llm Plugin Testerの最も強いシグナルはコンプライアンスで97/100です。 既知の脆弱性は検出されていません。
Llm Plugin Testerとは何で、誰が管理していますか?
| 作者 | Ak-cybe |
| カテゴリ | セキュリティ |
| Source | https://github.com/Ak-cybe/llm-plugin-tester |
| Frameworks | langchain · anthropic |
| Protocols | mcp · rest |
規制コンプライアンス
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 97/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
セキュリティの人気の代替品
What Is Llm Plugin Tester?
Llm Plugin Tester is a セキュリティ tool: Automated セキュリティ Auditor for LLM Plugins. Nerq Trust Score: 62/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including セキュリティ vulnerabilities, メンテナンス activity, license コンプライアンス, and コミュニティでの採用.
How Nerq Assesses Llm Plugin Tester's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 次元. Here is how Llm Plugin Tester performs in each:
- セキュリティ (0/100): Llm Plugin Tester's セキュリティ posture is poor. This score factors in known CVEs, dependency vulnerabilities, セキュリティ policy presence, and code signing practices.
- メンテナンス (1/100): Llm Plugin Tester 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 ドキュメント, usage examples, and contribution guidelines.
- Compliance (97/100): Llm Plugin Tester is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. に基づく GitHubスター, forks, download counts, and ecosystem integrations.
The overall Trust Score of 62.5/100 (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 Llm Plugin Tester?
Llm Plugin Tester is commonly evaluated by:
- Developers and teams working with セキュリティ tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Llm Plugin Tester's measured signals (セキュリティ 0/100, メンテナンス 1/100, ドキュメント 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 Llm Plugin Tester's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — 確認してください repository's セキュリティ policy, open issues, and recent commits for signs of active メンテナンス.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Llm Plugin Tester's dependency tree. - レビュー permissions — Understand what access Llm Plugin Tester requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Llm Plugin Tester 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=llm-plugin-tester - 確認してください license — Confirm that Llm Plugin Tester'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 セキュリティ concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Llm Plugin Tester
When evaluating whether Llm Plugin Tester is safe, consider these category-specific risks:
Understand how Llm Plugin Tester processes, stores, and transmits your data. 確認してください tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Llm Plugin Tester's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher セキュリティ risk.
Regularly check for updates to Llm Plugin Tester. セキュリティ patches and bug fixes are only effective if you're running the latest version.
If Llm Plugin Tester 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 Llm Plugin Tester's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Llm Plugin Tester in violation of its license can expose your organization to legal liability.
Llm Plugin Tester and the EU AI Act
Llm Plugin Tester 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 コンプライアンス assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal コンプライアンス.
Best Practices for Using Llm Plugin Tester Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Llm Plugin Tester while minimizing risk:
Periodically review how Llm Plugin Tester is used in your workflow. Check for unexpected behavior, permissions drift, and コンプライアンス with your セキュリティ policies.
Ensure Llm Plugin Tester and all its dependencies are running the latest stable versions to benefit from セキュリティ patches.
Grant Llm Plugin Tester only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Llm Plugin Tester's セキュリティ advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Llm Plugin Tester is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Llm Plugin Tester
Nerq's signals are one input. In the following situations, evaluate Llm Plugin Tester'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 Llm Plugin Tester's measured trust score of 62.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Llm Plugin Tester is suitable for any particular use.
How Llm Plugin Tester Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among セキュリティ tools, the average Trust Score is 67/100. Llm Plugin Tester's score of 62.5/100 is near the category average of 67/100.
This places Llm Plugin Tester in line with the typical セキュリティ 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 中程度 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 Llm Plugin Tester 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 メンテナンス patterns change, Llm Plugin Tester'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 セキュリティ and quality. Conversely, a downward trend may signal reduced メンテナンス, growing technical debt, or unresolved vulnerabilities. To track Llm Plugin Tester's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=llm-plugin-tester&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 — セキュリティ, メンテナンス, ドキュメント, コンプライアンス, and community — has evolved independently, providing granular visibility into which aspects of Llm Plugin Tester are strengthening or weakening over time.
Llm Plugin Tester vs 代替品
In the セキュリティ category, Llm Plugin Tester scores 62.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Llm Plugin Tester vs Ciphey — Trust Score: 63.4/100
- Llm Plugin Tester vs strix — Trust Score: 64.4/100
- Llm Plugin Tester vs SWE-agent — Trust Score: 76.9/100
重要なポイント
- Llm Plugin Tester has a measured Nerq Trust Score of 62.5/100 (C) — a composite of independent signals, not a suitability judgment.
- Among セキュリティ tools, Llm Plugin Tester scores near the category average of 67/100 (a positional measurement relative to peers).
- The individual signals — セキュリティ, メンテナンス, ドキュメント, コンプライアンス, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
よくある質問
Llm Plugin Testerは安全ですか?
Llm Plugin Testerの信頼スコアは?
Llm Plugin Testerのより安全な代替は何ですか?
Llm Plugin Testerの安全性スコアはどのくらいの頻度で更新されますか?
規制環境でLlm Plugin Testerを使用できますか?
関連項目
Disclaimer: Nerqの信頼スコアは、公開されている情報に基づく自動評価です。推奨や保証ではありません。必ずご自身でも確認してください。