Rapport d’audit du skill
linkedin-reply-handler Rapport d’audit.
Draft a reply to a specific existing LinkedIn comment from its URL. Use when the user wants to reply to a comment on any post, or follow up after an author replied to them. Parses the commentUrn, resolves the correct parentComment target (LinkedIn flattens threads to 2 levels), and posts via Publora on approval. Not for top-level comments (use linkedin-comment-drafter).
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
Info76
880 stars GitHub
Activité stars/forks
Info71
880 stars et 140 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
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Validé82
network or browser surface
Disponibilité de l’installation
Validé92
npx skills add sergebulaev/linkedin-skills --skill linkedin-reply-handler
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Info72
filesystem or document access, network or browser access
Preuve du dépôt
Validé86
https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-reply-handler
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-reply-handler
Dépôt
88
https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-reply-handler
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
Fetched LinkedIn comments and post text are treated as context, but SKILL.md does not explicitly warn the agent to treat them as untrusted data rather than instructions. A malicious comment could contain prompt-injection-style text.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
82
network or browser surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
72
filesystem or document access, network or browser access
Activité stars/forks
71
880 stars et 140 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
88
880 stars GitHub
Avertissements
- Fetched LinkedIn comments and post text are treated as context, but SKILL.md does not explicitly warn the agent to treat them as untrusted data rather than instructions. A malicious comment could contain prompt-injection-style text.
- APIFY_TOKEN is referenced as an environment variable, but there is no setup/configuration section explaining required env vars, permission scope, or what the Publora wrapper does with credentials.
- Quality score needs review
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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