Rapport d’audit du skill

research-presentation Rapport d’audit.

Create, revise, and quality-check source-grounded research presentations from papers, research notes, data, or manuscripts. Use for paper-to-slides, research presentation, scientific presentation, journal club, lab meeting, conference talk, seminar, thesis defense, dissertation defense, PPT/PPTX, 学术PPT, 科研汇报, 论文汇报, 组会汇报, 答辩PPT, and related slide-deck tasks.

Bloqué · BloquerRevue nécessaireGénéré 14 oct. 2026Audit heuristique des métadonnées
73
Audit
66
Confiance
64
Qualité
73
Sécurité
88
Maintain
92
Installer

Trust Score OpenAgentSkill

66
Revue manuelle

Trust Score OpenAgentSkill

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

Adoption GitHub

Info

62

115 stars GitHub

Activité stars/forks

Avertissement

57

115 stars et 10 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Maintenance récente

Validé

88

1 mois depuis le dernier push

Clarté de licence

Validé

86

Apache-2.0; see NOTICE for third-party attributions

Complétude README/SKILL.md

Validé

86

Les métadonnées incluent suffisamment de contexte d’usage et de workflow

Risque dépendances/runtime

Avertissement

54

command execution surface, credential or environment access

Disponibilité de l’installation

Validé

92

npx skills add Yila-AI/awesome-research-skills --skill research-presentation

Sécurité de la commande d’installation

Validé

92

Chemin d’installation standard de package ou runtime

Surface de permissions

Échoué

36

secrets or environment access, shell or command execution

Preuve du dépôt

Validé

86

https://github.com/Yila-AI/awesome-research-skills/tree/main/skills/research-presentation

État de revue

Info

66

Données de revue IA disponibles

Résultats prouvés par Agent

Info

54

Pas encore de données de résultats Agent

Vérifications

Revue d’installation et d’adoption

6 Validé · 16 Revue nécessaire

Chemin d’installation

92

Validé

npx skills add Yila-AI/awesome-research-skills --skill research-presentation

Dépôt

88

Validé

https://github.com/Yila-AI/awesome-research-skills/tree/main/skills/research-presentation

Licence

86

Validé

Apache-2.0; see NOTICE for third-party attributions

Maintenance

88

Validé

1 mois depuis le dernier push

Revue IA

55

Vérifier

SKILL.md does not explicitly list required dependencies or setup steps (e.g., python-pptx, PyMuPDF) which could cause runtime failures in environments lacking these tools.

Complétude README/SKILL.md

86

Validé

Usable description available

Risque de dépendances

54

Corriger

command execution surface, credential or environment access

Sécurité de la commande d’installation

92

Validé

Chemin d’installation standard de package ou runtime

Surface de permissions

36

Corriger

secrets or environment access, shell or command execution

Activité stars/forks

57

Corriger

115 stars et 10 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Adoption

68

Info

115 stars GitHub

Financial decision safety

58

Vérifier

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
  • SKILL.md does not explicitly list required dependencies or setup steps (e.g., python-pptx, PyMuPDF) which could cause runtime failures in environments lacking these tools.
  • The skill relies on external reference files (paper-extraction.md, layouts.md, etc.) that must be present; no fallback is described if they are missing.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 115 stars, 10 forks; issue activity unavailable in current metadata
  • 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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