Je Retroinstruct bezpečný?

Retroinstruct — Nerq Trust Score 55.2/100 (Stupeň D). Na základě analýzy 5 dimenzí důvěryhodnosti je má pozoruhodné bezpečnostní obavy. Naposledy aktualizováno: 2026-04-03.

Používejte Retroinstruct s opatrností. Retroinstruct is a software tool se skóre důvěryhodnosti Nerq 55.2/100 (D), based on 5 nezávislých datových dimenzích. Je pod doporučeným prahem 70. Bezpečnost: 0/100. Údržba: 0/100. Popularity: 0/100. Data pocházejí z multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Naposledy aktualizováno: 2026-04-03. Strojově čitelná data (JSON).

Je Retroinstruct bezpečný?

OPATRNOST — Retroinstruct má skóre důvěryhodnosti Nerq 55.2/100 (D). Má střední signály důvěryhodnosti, ale vykazuje některé oblasti vyžadující pozornost. Vhodné pro vývojové použití — zkontrolujte bezpečnostní signály a signály údržby před nasazením do produkce.

Bezpečnostní analýza → Zpráva o soukromí {name} →

Jaké je skóre důvěryhodnosti Retroinstruct?

Retroinstruct má Nerq skóre důvěryhodnosti 55.2/100 se stupněm D. Toto skóre je založeno na 5 nezávisle měřených dimenzích.

Bezpečnost
0
Shoda
80
Údržba
0
Dokumentace
0
Popularita
0

Jaká jsou klíčová bezpečnostní zjištění pro Retroinstruct?

Nejsilnější signál Retroinstruct je shoda na 80/100. Nebyly zjištěny žádné známé zranitelnosti. Dosud nedosáhl ověřeného prahu Nerq 70+.

Bezpečnostní skóre: 0/100 (weak)
Údržba: 0/100 — nízká aktivita údržby
Compliance: 80/100 — covers 41 of 52 jurisdictions
Documentation: 0/100 — omezená dokumentace
Popularity: 0/100 — 32 hvězdiček na github

Co je Retroinstruct a kdo jej spravuje?

AutorUnknown
Kategoriedata
Hvězdičky32
Zdrojhttps://github.com/JD-P/RetroInstruct

Regulační shoda

EU AI Act Risk ClassMINIMAL
Compliance Score80/100
JurisdictionsAssessed across 52 jurisdictions

Populární alternativy v data

firecrawl/firecrawl
73.8/100 · B
github
MinerU
84.6/100 · A
github
mindsdb/mindsdb
77.5/100 · B
github
PostHog
51.9/100 · D
pulsemcp
Graphiti
51.9/100 · D
pulsemcp

What Is Retroinstruct?

Retroinstruct is a software tool in the data category: Generates synthetic data through templating, prompting, and transformations.. It has 32 GitHub stars. Nerq Trust Score: 55/100 (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 Retroinstruct's Safety

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

The overall Trust Score of 55.2/100 (D) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Who Should Use Retroinstruct?

Retroinstruct is designed for:

Risk guidance: Retroinstruct is suitable for development and testing environments. Before production deployment, conduct a thorough review of its bezpečnost posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Retroinstruct'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 Retroinstruct's dependency tree.
  3. Recenze permissions — Understand what access Retroinstruct requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Retroinstruct 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=JD-P/RetroInstruct
  6. Zkontrolujte license — Confirm that Retroinstruct'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 Retroinstruct

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

Data handling

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

Dependency bezpečnost

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

Update frequency

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

Third-party integrations

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

Retroinstruct and the EU AI Act

Retroinstruct 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 Retroinstruct Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for bezpečnost advisories

Subscribe to Retroinstruct'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 Retroinstruct is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Retroinstruct?

Even promising tools aren't right for every situation. Consider avoiding Retroinstruct in these scenarios:

skóre důvěryhodnosti

For each scenario, evaluate whether Retroinstruct 55.2/100 meets your organization's risk tolerance. We recommend running a manual bezpečnost assessment alongside the automated Nerq score.

How Retroinstruct Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among data tools, the average Trust Score is 62/100. Retroinstruct's score of 55.2/100 is near the category average of 62/100.

This places Retroinstruct in line with the typical data 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 Retroinstruct 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, Retroinstruct'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 Retroinstruct's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=JD-P/RetroInstruct&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 Retroinstruct are strengthening or weakening over time.

Retroinstruct vs Alternativy

V kategorii data, Retroinstruct získal skóre 55.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Hlavní závěry

Často kladené otázky

Je Retroinstruct bezpečný k použití?
Používejte s opatrností. JD-P/RetroInstruct má skóre důvěryhodnosti Nerq 55.2/100 (D). Nejsilnější signál: shoda (80/100). Skóre založeno na bezpečnost (0/100), údržba (0/100), popularita (0/100), dokumentace (0/100).
Jaké je skóre důvěryhodnosti Retroinstruct?
JD-P/RetroInstruct: 55.2/100 (D). Skóre založeno na: bezpečnost (0/100), údržba (0/100), popularita (0/100), dokumentace (0/100). Compliance: 80/100. Skóre se aktualizují, jakmile jsou k dispozici nová data. API: GET nerq.ai/v1/preflight?target=JD-P/RetroInstruct
Jaké jsou bezpečnější alternativy k Retroinstruct?
V kategorii data, lépe hodnocené alternativy zahrnují firecrawl/firecrawl (74/100), MinerU (85/100), mindsdb/mindsdb (78/100). JD-P/RetroInstruct získal skóre 55.2/100.
How often is Retroinstruct's safety score updated?
Nerq continuously monitors Retroinstruct and updates its trust score as new data becomes available. Data pocházejí z multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 55.2/100 (D), last ověřeno 2026-04-03. API: GET nerq.ai/v1/preflight?target=JD-P/RetroInstruct
Mohu použít Retroinstruct v regulovaném prostředí?
Retroinstruct has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

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

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