Apakah Tendem Aman?
Tendem — Nerq Trust Score 48.0/100 (Nilai D). Skor berdasarkan 3 independent trust signals.
Tendem adalah software tool dengan Skor Kepercayaan Nerq sebesar 48.0/100 (D), based on 3 dimensi data independen. Pemeliharaan: 0/100. Popularitas: 1/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: n/a. Data yang dapat dibaca mesin (JSON).
Apakah Tendem Aman?
Rincian Skor Kepercayaan — Tendem has a Nerq Trust Score of 48.0/100 (D). Measured across 3 independent trust signals.
Berapa skor kepercayaan Tendem?
Tendem memiliki Skor Kepercayaan Nerq 48.0/100 dengan nilai D. Skor ini didasarkan pada 3 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Tendem?
Sinyal terkuat Tendem adalah popularitas pada 1/100. Tidak ada kerentanan yang diketahui terdeteksi.
Apa itu Tendem dan siapa yang mengelolanya?
| Pembuat | https://github.com/toloka/tendem-mcp |
| Kategori | Agent Platform |
| Bintang | 103 |
| Sumber | https://github.com/toloka/tendem-mcp |
Alternatif Populer di agent platform
What Is Tendem?
Tendem is a software tool in the agent platform category: Integrates with Tendem's AI + Human Agent platform for task management.. It has 103 GitHub stars. Nerq Trust Score: 48/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.
How Nerq Assesses Tendem's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Tendem performs in each:
- Pemeliharaan (0/100): Tendem 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 dokumentasi, usage examples, and contribution guidelines.
- Community (1/100): Community adoption is limited. Berdasarkan 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 Tendem?
Tendem is commonly evaluated by:
- Developers and teams working with agent platform tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Tendem's measured signals (pemeliharaan 0/100, dokumentasi 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 Tendem's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Tinjau repository keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Tendem's dependency tree. - Ulasan permissions — Understand what access Tendem requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Tendem 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=Tendem - Tinjau license — Confirm that Tendem'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 keamanan concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Tendem
When evaluating whether Tendem is safe, consider these category-specific risks:
Understand how Tendem processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Tendem's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.
Regularly check for updates to Tendem. Keamanan patches and bug fixes are only effective if you're running the latest version.
If Tendem 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 Tendem's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Tendem in violation of its license can expose your organization to legal liability.
Best Practices for Using Tendem Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Tendem while minimizing risk:
Periodically review how Tendem is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.
Ensure Tendem and all its dependencies are running the latest stable versions to benefit from keamanan patches.
Grant Tendem only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Tendem's keamanan advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Tendem is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Tendem
Nerq's signals are one input. In the following situations, evaluate Tendem'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 Tendem's measured trust score of 48.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Tendem is suitable for any particular use.
How Tendem Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among agent platform tools, the average Trust Score is 62/100. Tendem's score of 48.0/100 is below the category average of 62/100.
This suggests that Tendem trails behind many comparable agent platform tools. Organizations with strict keamanan 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 sedang 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 Tendem 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 pemeliharaan patterns change, Tendem'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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, growing technical debt, or unresolved vulnerabilities. To track Tendem's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Tendem&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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of Tendem are strengthening or weakening over time.
Tendem vs Alternatif
In the agent platform category, Tendem scores 48.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Tendem vs agentic — Trust Score: 68.6/100
- Tendem vs intentkit — Trust Score: 73.5/100
- Tendem vs coze-loop — Trust Score: 69.7/100
Kesimpulan Utama
- Tendem has a measured Nerq Trust Score of 48.0/100 (D) — a composite of independent signals, not a suitability judgment.
- Among agent platform tools, Tendem scores below the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — keamanan, pemeliharaan, dokumentasi, kepatuhan, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Pertanyaan yang Sering Diajukan
Apakah Tendem Aman?
Berapa skor kepercayaan Tendem?
Apa alternatif yang lebih aman dari Tendem?
Seberapa sering skor keamanan Tendem diperbarui?
Bisakah saya menggunakan Tendem di lingkungan yang diatur?
Lihat juga
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