Rapport d’audit du skill
backlink Rapport d’audit.
OpenCLI-first backlink discovery, profile analysis, opportunity qualification, safe browser-assisted form filling, evidence-based verification, and bulk data harvesting from logged-in dashboards. Use for backlinks, external links, competitor link research, blog-comment opportunities, directory submissions, Similarweb/Semrush/Ahrefs discovery, Search Console verification, anchor analysis, toxic-link review, disavow review, outreach templates, scraping SaaS report tables that have no API, driving the owner's logged-in Chrome from a script, or Chinese requests such as 反链、外链、找外链、发外链、评论外链、外链分析、抓后台数据、导出报表、数据面板、数据勘测.
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
Avertissement48
38 stars GitHub
Activité stars/forks
Avertissement48
38 stars et 30 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé100
Mis à jour aujourd’hui
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Avertissement56
command execution surface, network or browser surface
Disponibilité de l’installation
Validé92
npx skills add yan-labs/yan-skills --skill backlink
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué36
shell or command execution, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/yan-labs/yan-skills/tree/main/backlink
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 yan-labs/yan-skills --skill backlink
Dépôt
88
https://github.com/yan-labs/yan-skills/tree/main/backlink
Licence
86
MIT
Maintenance
100
Mis à jour aujourd’hui
Revue IA
55
The skill is very large and complex; SKILL.md is long and uses XML, which might be hard to parse for some agents.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
56
command execution surface, network or browser surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
36
shell or command execution, filesystem or document access
Activité stars/forks
48
38 stars et 30 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
38 stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill is very large and complex; SKILL.md is long and uses XML, which might be hard to parse for some agents.
- The skill involves scraping and automated form filling, which could violate terms of service of some websites; no explicit warning about checking ToS.
- The data files are extensive and require maintenance; the skill relies on community contributions.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 38 GitHub stars
- Stars/forks activity: 38 stars, 30 forks; issue activity unavailable in current metadata
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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