Skill-Audit-Bericht

linkedin-humanizer Audit-Bericht.

Scrub AI tells from any text draft OR audit a finished post against the 2026 algorithm heuristic checklist. Tier-based rewriter (forensic / strict / aesthetic / all) plus `--mode audit` for detection-only pass-fail review covering length, hook, CTA, format penalties, AI vocab. Also `--mode profile` builds a reusable Voice and Brand Profile from a few of the user''s real posts, so every writing skill drafts in their voice. Sub-tools: emoji-pattern detector, multi-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), rule explainer. Triggers on "humanize", "de-AI", "review this draft", "audit before posting", "is this ready", "build my voice profile", "learn my voice".

Blockiert · BlockierenPrüfung nötigErstellt 13. Okt. 2026Heuristisches Metadaten-Audit
77
Audit
69
Vertrauen
75
Qualität
74
Sicherheit
88
Maintain
92
Installieren

OpenAgentSkill Trust Score

69
Manuelle Prüfung

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub-Akzeptanz

Bestanden

86

1.3K GitHub-Stars

Star-/Fork-Aktivität

Info

77

1.3K Stars und 204 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar

Aktuelle Wartung

Bestanden

88

1 Monate seit dem letzten Push

Lizenzklarheit

Bestanden

86

MIT

README/SKILL.md-Vollständigkeit

Info

76

Öffentliche Metadaten benötigen mehr README/SKILL.md-Kontext

Abhängigkeits-/Laufzeitrisiko

Warnung

54

command execution surface, credential or environment access

Installationsverfügbarkeit

Bestanden

92

npx skills add sergebulaev/linkedin-skills --skill linkedin-humanizer

Sicherheit des Installationsbefehls

Bestanden

92

Standard-Paket- oder Laufzeit-Installationspfad

Berechtigungsumfang

Fehlgeschlagen

36

secrets or environment access, shell or command execution

Repository-Nachweis

Bestanden

86

https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-humanizer

Prüfstatus

Info

66

KI-Prüfdaten verfügbar

Agent-validierte Ergebnisse

Info

54

Noch keine Agent-Ergebnisdaten

Prüfungen

Installations- und Adoptionsprüfung

7 Bestanden · 12 Prüfung nötig

Installationspfad

92

Bestanden

npx skills add sergebulaev/linkedin-skills --skill linkedin-humanizer

Repository

88

Bestanden

https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-humanizer

Lizenz

86

Bestanden

MIT

Wartung

88

Bestanden

1 Monate seit dem letzten Push

KI-Prüfung

55

Prüfen

The skill references sub-skills and reference files (e.g., sub-skills/rules-explainer.md, references/scrub-rules.md) that are not fully included in the provided excerpt, but they are present in the repository and appear to be part of the complete skill package.

README/SKILL.md-Vollständigkeit

84

Bestanden

Usable description available

Abhängigkeitsrisiko

54

Beheben

command execution surface, credential or environment access

Sicherheit des Installationsbefehls

92

Bestanden

Standard-Paket- oder Laufzeit-Installationspfad

Berechtigungsumfang

36

Beheben

secrets or environment access, shell or command execution

Star-/Fork-Aktivität

77

Prüfen

1.3K Stars und 204 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar

Akzeptanz

88

Bestanden

1.3K GitHub-Stars

Warnungen

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill references sub-skills and reference files (e.g., sub-skills/rules-explainer.md, references/scrub-rules.md) that are not fully included in the provided excerpt, but they are present in the repository and appear to be part of the complete skill package.
  • The skill mentions optional external API calls (e.g., APIFY_TOKEN for profile mode, AI detectors) which could send user content to third-party services. This is a potential privacy consideration, though it is clearly described and opt-in.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

Methode

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Nahe Optionen vergleichen

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