Rapport d’audit du skill
linkedin-humanizer Rapport d’audit.
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".
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Validé86
1.3K stars GitHub
Activité stars/forks
Info77
1.3K stars et 204 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Info76
Les métadonnées publiques nécessitent davantage de contexte README/SKILL.md
Risque dépendances/runtime
Avertissement54
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add sergebulaev/linkedin-skills --skill linkedin-humanizer
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué36
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-humanizer
État de revue
Info66
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add sergebulaev/linkedin-skills --skill linkedin-humanizer
Dépôt
88
https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-humanizer
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
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.
Complétude README/SKILL.md
84
Usable description available
Risque de dépendances
54
command execution surface, credential or environment access
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
36
secrets or environment access, shell or command execution
Activité stars/forks
77
1.3K stars et 204 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
88
1.3K stars GitHub
Avertissements
- 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
Méthode
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.
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