Er Pm Agent System trygt?
Pm Agent System — Nerq Trust Score 50.3/100 (Karakter D). Poeng basert på 5 independent trust signals.
Pm Agent System er en software tool har en Nerq-tillitspoeng på 50.3/100 (D), based on 5 uavhengige datadimensjoner. Sikkerhet: 0/100. Vedlikehold: 1/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder inkludert pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sist oppdatert: n/a. Maskinlesbare data (JSON).
Er Pm Agent System trygt?
Tillitspoeng detaljer — Pm Agent System har en Nerq-tillitspoeng på 50.3/100 (D). Measured across 5 independent trust signals.
Hva er tillitspoengene til Pm Agent System?
Pm Agent System har en Nerq-tillitspoeng på 50.3/100 med karakteren D. Denne poengsummen er basert på 5 uavhengig målte dimensjoner, inkludert sikkerhet, vedlikehold og samfunnsadopsjon.
Hva er de viktigste sikkerhetsfunnene for Pm Agent System?
Pm Agent Systems sterkeste signal er samsvar på 80/100. Ingen kjente sårbarheter er funnet.
Hva er Pm Agent System og hvem vedlikeholder det?
| Utvikler | dooosp |
| Kategori | Coding |
| Kilde | https://github.com/dooosp/pm-agent-system |
| Protocols | rest |
Regulatorisk samsvar
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 80/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i coding
What Is Pm Agent System?
Pm Agent System is a software tool in the coding category: Automates PM/PO workflows through a multi-stage pipeline.. Nerq Trust Score: 50/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhet vulnerabilities, vedlikehold activity, license samsvar, and fellesskapsadopsjon.
How Nerq Assesses Pm Agent System's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensjoner. Here is how Pm Agent System performs in each:
- Sikkerhet (0/100): Pm Agent System's sikkerhet posture is poor. This score factors in known CVEs, dependency vulnerabilities, sikkerhet policy presence, and code signing practices.
- Vedlikehold (1/100): Pm Agent System 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 dokumentasjon, usage examples, and contribution guidelines.
- Compliance (80/100): Pm Agent System is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basert på GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 50.3/100 (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 Pm Agent System?
Pm Agent System is commonly evaluated by:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Pm Agent System's measured signals (sikkerhet 0/100, vedlikehold 1/100, dokumentasjon 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 Pm Agent System's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gjennomgå repository's sikkerhet policy, open issues, and recent commits for signs of active vedlikehold.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for kjente sårbarheter in Pm Agent System's dependency tree. - Anmeldelse permissions — Understand what access Pm Agent System requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Pm Agent System 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=pm-agent-system - Gjennomgå license — Confirm that Pm Agent System'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 sikkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Pm Agent System
When evaluating whether Pm Agent System is safe, consider these category-specific risks:
Understand how Pm Agent System processes, stores, and transmits your data. Gjennomgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Pm Agent System's dependency tree for kjente sårbarheter. Tools with outdated or unmaintained dependencies pose a higher sikkerhet risk.
Regularly check for updates to Pm Agent System. Sikkerhet patches and bug fixes are only effective if you're running the latest version.
If Pm Agent System 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 Pm Agent System's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Pm Agent System in violation of its license can expose your organization to legal liability.
Pm Agent System and the EU AI Act
Pm Agent System 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 samsvar assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal samsvar.
Best Practices for Using Pm Agent System Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Pm Agent System while minimizing risk:
Periodically review how Pm Agent System is used in your workflow. Check for unexpected behavior, permissions drift, and samsvar with your sikkerhet policies.
Ensure Pm Agent System and all its dependencies are running the latest stable versions to benefit from sikkerhet patches.
Grant Pm Agent System only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Pm Agent System's sikkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Pm Agent System is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Pm Agent System
Nerq's signals are one input. In the following situations, evaluate Pm Agent System'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 Pm Agent System's measured trust score of 50.3/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Pm Agent System is suitable for any particular use.
How Pm Agent System 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. Pm Agent System's score of 50.3/100 is below the category average of 62/100.
This suggests that Pm Agent System trails behind many comparable coding tools. Organizations with strict sikkerhet 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 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 Pm Agent System 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 vedlikehold patterns change, Pm Agent System'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 sikkerhet and quality. Conversely, a downward trend may signal reduced vedlikehold, growing technical debt, or unresolved vulnerabilities. To track Pm Agent System's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=pm-agent-system&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 — sikkerhet, vedlikehold, dokumentasjon, samsvar, and community — has evolved independently, providing granular visibility into which aspects of Pm Agent System are strengthening or weakening over time.
Pm Agent System vs Alternativer
In the coding category, Pm Agent System scores 50.3/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Pm Agent System vs AutoGPT — Trust Score: 65.3/100
- Pm Agent System vs ollama — Trust Score: 64.4/100
- Pm Agent System vs langchain — Trust Score: 77.0/100
Viktigste punkter
- Pm Agent System has a measured Nerq Trust Score of 50.3/100 (D) — a composite of independent signals, not a suitability judgment.
- Among coding tools, Pm Agent System scores below the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — sikkerhet, vedlikehold, dokumentasjon, samsvar, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Ofte stilte spørsmål
Er Pm Agent System trygt?
Hva er tillitspoengene til Pm Agent System?
Hva er tryggere alternativer til Pm Agent System?
Hvor ofte oppdateres Pm Agent Systems sikkerhetspoeng?
Kan jeg bruke Pm Agent System i et regulert miljø?
Se også
Disclaimer: Nerqs tillitspoeng er automatiserte vurderinger basert på offentlig tilgjengelige signaler. De utgjør ikke anbefalinger eller garantier. Utfør alltid din egen verifisering.