Je Tmpl Starter bezpečný?

Tmpl Starter — Nerq Trust Score 59.6/100 (Stupeň D). Skóre založeno na 5 independent trust signals.

Tmpl Starter je software tool se skóre důvěryhodnosti Nerq 59.6/100 (D), based on 5 nezávislých datových dimenzích. Bezpečnost: 0/100. Údržba: 1/100. Popularita: 0/100. Data pocházejí z více veřejných zdrojů včetně registrů balíčků, GitHubu, NVD, OSV.dev a OpenSSF Scorecard. Naposledy aktualizováno: n/a. Strojově čitelná data (JSON).

Je Tmpl Starter bezpečný?

Rozpis skóre důvěryhodnosti — Tmpl Starter has a Nerq Trust Score of 59.6/100 (D). Measured across 5 independent trust signals.

Bezpečnostní analýza → Zpráva o soukromí Tmpl Starter →

Jaké je skóre důvěryhodnosti Tmpl Starter?

Tmpl Starter má Nerq skóre důvěryhodnosti 59.6/100 se stupněm D. Toto skóre je založeno na 5 nezávisle měřených dimenzích.

Bezpečnost
0
Shoda
100
Údržba
1
Dokumentace
0
Popularita
0

Jaká jsou klíčová bezpečnostní zjištění pro Tmpl Starter?

Nejsilnější signál Tmpl Starter je shoda na 100/100. Nebyly zjištěny žádné známé zranitelnosti.

⚠Bezpečnostní skóre: 0/100 (slabý)
⚠Údržba: 1/100 — nízká údržba
⚠Shoda: 100/100 — covers 52 of 52 jurisdictions
⚠Dokumentace: 0/100 — omezená dokumentace
⚠Popularita: 0/100 — přijetí komunitou

Co je Tmpl Starter a kdo jej spravuje?

Autorzakhar-kogan
KategorieCoding
Zdrojhttps://github.com/zakhar-kogan/tmpl-starter

Regulační shoda

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

Populární alternativy v coding

Significant-Gravitas/AutoGPT
65.3/100 · C
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ollama/ollama
64.4/100 · C
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langchain-ai/langchain
77.0/100 · B
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x1xhlol/system-prompts-and-models-of-ai-tools
64.4/100 · C
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anomalyco/opencode
78.5/100 · B
github

What Is Tmpl Starter?

Tmpl Starter is a software tool in the coding category: A template for agentic coding with a simple agent workflow.. Nerq Trust Score: 60/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including bezpečnost vulnerabilities, údržba activity, license shoda, and přijetí komunitou.

How Nerq Assesses Tmpl Starter's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimenzích. Here is how Tmpl Starter performs in each:

The overall Trust Score of 59.6/100 (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 Tmpl Starter?

Tmpl Starter is commonly evaluated by:

How to read the signals: Tmpl Starter's measured signals (bezpečnost 0/100, údržba 1/100, dokumentace 0/100, 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 Tmpl Starter's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Zkontrolujte repository's bezpečnost policy, open issues, and recent commits for signs of active údržba.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Tmpl Starter's dependency tree.
  3. Recenze permissions — Understand what access Tmpl Starter requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Tmpl Starter in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=tmpl-starter
  6. Zkontrolujte license — Confirm that Tmpl Starter'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.
  7. 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 bezpečnost concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Tmpl Starter

When evaluating whether Tmpl Starter is safe, consider these category-specific risks:

Data handling

Understand how Tmpl Starter processes, stores, and transmits your data. Zkontrolujte tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency bezpečnost

Check Tmpl Starter's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher bezpečnost risk.

Update frequency

Regularly check for updates to Tmpl Starter. Bezpečnost patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Tmpl Starter 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.

License and IP shoda

Verify that Tmpl Starter's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Tmpl Starter in violation of its license can expose your organization to legal liability.

Tmpl Starter and the EU AI Act

Tmpl Starter 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 shoda assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal shoda.

Best Practices for Using Tmpl Starter Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Tmpl Starter while minimizing risk:

Conduct regular audits

Periodically review how Tmpl Starter is used in your workflow. Check for unexpected behavior, permissions drift, and shoda with your bezpečnost policies.

Keep dependencies updated

Ensure Tmpl Starter and all its dependencies are running the latest stable versions to benefit from bezpečnost patches.

Follow least privilege

Grant Tmpl Starter only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for bezpečnost advisories

Subscribe to Tmpl Starter's bezpečnost advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Tmpl Starter is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Tmpl Starter

Nerq's signals are one input. In the following situations, evaluate Tmpl Starter's measured signals against your own requirements before making a decision:

For each situation, compare Tmpl Starter's measured trust score of 59.6/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Tmpl Starter is suitable for any particular use.

How Tmpl Starter Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Tmpl Starter's score of 59.6/100 is near the category average of 62/100.

This places Tmpl Starter in line with the typical coding 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 střední 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 Tmpl Starter 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 údržba patterns change, Tmpl Starter'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 bezpečnost and quality. Conversely, a downward trend may signal reduced údržba, growing technical debt, or unresolved vulnerabilities. To track Tmpl Starter's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=tmpl-starter&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 — bezpečnost, údržba, dokumentace, shoda, and community — has evolved independently, providing granular visibility into which aspects of Tmpl Starter are strengthening or weakening over time.

Tmpl Starter vs Alternativy

In the coding category, Tmpl Starter scores 59.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Hlavní závěry

Často kladené otázky

Je Tmpl Starter bezpečný?
tmpl-starter se skóre důvěryhodnosti Nerq 59.6/100 (D). Nejsilnější signál: shoda (100/100). Skóre založeno na Bezpečnost (0/100), Údržba (1/100), Popularita (0/100), Dokumentace (0/100).
Jaké je skóre důvěryhodnosti Tmpl Starter?
tmpl-starter: 59.6/100 (D). Skóre založeno na Bezpečnost (0/100), Údržba (1/100), Popularita (0/100), Dokumentace (0/100). Compliance: 100/100. Skóre se aktualizují, jakmile jsou k dispozici nová data. API: GET nerq.ai/v1/preflight?target=tmpl-starter
Jaké jsou bezpečnější alternativy k Tmpl Starter?
V kategorii Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (65/100), ollama/ollama (64/100), langchain-ai/langchain (77/100). tmpl-starter scores 59.6/100.
Jak často se aktualizuje bezpečnostní skóre Tmpl Starter?
Nerq recomputes Tmpl Starter's trust score as new data becomes available. Current: 59.6/100 (D). API: GET nerq.ai/v1/preflight?target=tmpl-starter
Mohu používat Tmpl Starter v regulovaném prostředí?
Tmpl Starter: 59.6/100 (D). Compliance: 52 of 52 jurisdictions. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Viz také

Disclaimer: Skóre důvěryhodnosti Nerq jsou automatizovaná hodnocení založená na veřejně dostupných signálech. Nejsou doporučením ani zárukou. Vždy proveďte vlastní ověření.

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