Er Compound Flow sikker?

Compound Flow — Nerq Trust Score 60.7/100 (Karakter C). Baseret på analyse af 5 tillidsdimensioner vurderes det som generelt sikkert men med visse bekymringer. Sidst opdateret: 2026-04-23.

Brug Compound Flow med forsigtighed. Compound Flow er en software tool med en Nerq Tillidsscore på 60.7/100 (C), based on 5 uafhængige datadimensioner. Under Nerqs verificerede tærskel Sikkerhed: 0/100. Vedligeholdelse: 1/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sidst opdateret: 2026-04-23. Maskinlæsbare data (JSON).

Er Compound Flow sikker?

CAUTION — Compound Flow has a Nerq Trust Score of 60.7/100 (C). Har moderat tillidssignaler, men viser nogle bekymrende områder that warrant attention. Suitable for development use — review sikkerhed and vedligeholdelse signals before production deployment.

Sikkerhedsanalyse → Compound Flow privatlivsrapport →

Hvad er Compound Flows tillidsscore?

Compound Flow har en Nerq Trust Score på 60.7/100 med karakteren C. Denne score er baseret på 5 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.

Sikkerhed
0
Overholdelse
100
Vedligeholdelse
1
Dokumentation
1
Popularitet
0

Hvad er de vigtigste sikkerhedsresultater for Compound Flow?

Compound Flows stærkeste signal er overholdelse på 100/100. Ingen kendte sårbarheder er fundet. It has not yet reached the Nerq Verified threshold of 70+.

Sikkerhedsscore: 0/100 (svag)
Vedligeholdelse: 1/100 — lav vedligeholdelsesaktivitet
Overholdelse: 100/100 — covers 52 of 52 jurisdictions
Dokumentation: 1/100 — begrænset dokumentation
Popularitet: 0/100 — community-adoption

Hvad er Compound Flow og hvem vedligeholder det?

Udviklerajanatka
KategoriCoding
Kildehttps://github.com/ajanatka/compound-flow
Frameworksanthropic

Lovgivningsmæssig overholdelse

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

Populære alternativer i coding

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
71.3/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
64.1/100 · C+
github

What Is Compound Flow?

Compound Flow is a software tool in the coding category: Python-focused compound engineering plugin for Claude Code with multiple agents and commands.. Nerq Trust Score: 61/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhed vulnerabilities, vedligeholdelse activity, license overholdelse, and fællesskabsadoption.

How Nerq Assesses Compound Flow's Safety

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

The overall Trust Score of 60.7/100 (C) 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 Compound Flow?

Compound Flow is designed for:

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

How to Verify Compound Flow's Safety Yourself

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

  1. Check the source code — Gennemgå repository's sikkerhed policy, open issues, and recent commits for signs of active vedligeholdelse.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Compound Flow's dependency tree.
  3. Anmeldelse permissions — Understand what access Compound Flow requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Compound Flow 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=compound-flow
  6. Gennemgå license — Confirm that Compound Flow'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 sikkerhed concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Compound Flow

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

Data handling

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

Dependency sikkerhed

Check Compound Flow's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sikkerhed risk.

Update frequency

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

Third-party integrations

If Compound Flow 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 overholdelse

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

Compound Flow and the EU AI Act

Compound Flow 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 overholdelse assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal overholdelse.

Best Practices for Using Compound Flow Safely

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

Conduct regular audits

Periodically review how Compound Flow is used in your workflow. Check for unexpected behavior, permissions drift, and overholdelse with your sikkerhed policies.

Keep dependencies updated

Ensure Compound Flow and all its dependencies are running the latest stable versions to benefit from sikkerhed patches.

Follow least privilege

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

Monitor for sikkerhed advisories

Subscribe to Compound Flow's sikkerhed 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 Compound Flow is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Compound Flow?

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

For each scenario, evaluate whether Compound Flow's trust score of 60.7/100 meets your organization's risk tolerance. We recommend running a manual sikkerhed assessment alongside the automated Nerq score.

How Compound Flow 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. Compound Flow's score of 60.7/100 is near the category average of 62/100.

This places Compound Flow 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 moderat 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 Compound Flow 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 vedligeholdelse patterns change, Compound Flow'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 sikkerhed and quality. Conversely, a downward trend may signal reduced vedligeholdelse, growing technical debt, or unresolved vulnerabilities. To track Compound Flow's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=compound-flow&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 — sikkerhed, vedligeholdelse, dokumentation, overholdelse, and community — has evolved independently, providing granular visibility into which aspects of Compound Flow are strengthening or weakening over time.

Compound Flow vs Alternativer

In the coding category, Compound Flow scores 60.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Vigtigste pointer

Detaljeret scoreanalyse

DimensionScore
Sikkerhed0/100
Vedligeholdelse1/100
Popularitet0/100

Baseret på 3 dimensioner. Data from flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard.

Hvilke data indsamler Compound Flow?

Privatliv assessment for Compound Flow is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

Er Compound Flow sikker?

Sikkerhed score: 0/100. Review sikkerhed practices and consider alternatives with higher sikkerhed scores for sensitive use cases.

Nerq overvåger denne enhed mod NVD, OSV.dev og registrespecifikke sårbarhedsdatabaser til løbende sikkerhedsvurdering.

Fuld analyse: Compound Flow sikkerhedsrapport

Sådan beregnede vi denne score

Compound Flow's trust score of 60.7/100 (C) beregnes ud fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Scoren afspejler 3 uafhængige dimensioner: sikkerhed (0/100), vedligeholdelse (1/100), popularitet (0/100). Hver dimension vægtes ens for at producere den samlede tillidsscore.

Nerq analyserer over 7,5 millioner enheder i 26 registre med samme metodik, hvilket muliggør direkte sammenligning mellem enheder. Scorer opdateres løbende, efterhånden som nye data bliver tilgængelige.

Denne side blev sidst gennemgået den April 23, 2026. Dataversion: 1.0.

Fuld metodikdokumentation · Maskinlæsbare data (JSON API)

Ofte stillede spørgsmål

Er Compound Flow sikker?
Brug med forsigtighed. compound-flow med en Nerq Tillidsscore på 60.7/100 (C). Stærkeste signal: overholdelse (100/100). Score baseret på Sikkerhed (0/100), Vedligeholdelse (1/100), Popularitet (0/100), Dokumentation (1/100).
Hvad er Compound Flows tillidsscore?
compound-flow: 60.7/100 (C). Score baseret på Sikkerhed (0/100), Vedligeholdelse (1/100), Popularitet (0/100), Dokumentation (1/100). Compliance: 100/100. Scorer opdateres når nye data bliver tilgængelige. API: GET nerq.ai/v1/preflight?target=compound-flow
Hvad er sikrere alternativer til Compound Flow?
I kategorien Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (71/100). compound-flow scores 60.7/100.
Hvor ofte opdateres Compound Flows sikkerhedsscore?
Nerq continuously monitors Compound Flow and updates its trust score as new data becomes available. Current: 60.7/100 (C), last verificeret 2026-04-23. API: GET nerq.ai/v1/preflight?target=compound-flow
Kan jeg bruge Compound Flow i et reguleret miljø?
Compound Flow har ikke nået Nerq-verificeringstærsklen på 70. Yderligere gennemgang anbefales.
API: /v1/preflight Trust Badge API Docs

Se også

Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.

Vi bruger cookies til analyse og caching. Privatliv