OpenAgentSkill
GitHub200+

Skill-Audit-Bericht

litert-conversion-workflow Audit-Bericht.

Convert a Hugging Face LLM or vision-language model checkpoint into a .litertlm bundle that runs on the LiteRT-LM runtime with verified quality - classify the architecture against known runtime walls, pick the recipe family (dense, reasoning, hybrid SSM, VLM), export, quantize, gate the result against the source model, and publish. Use when converting a new LLM or VLM to LiteRT-LM, when a converted bundle crashes on the first message or dies at engine creation, when a quantized model answers worse than its source, or when deciding whether a model is convertible at all.

Blockiert · BlockierenRiskantErstellt 13. Okt. 2026Heuristisches Metadaten-Audit
76
Audit
71
Vertrauen
70
Qualität
74
Sicherheit
88
Maintain
92
Installieren

OpenAgentSkill Trust Score

71
Manuelle Prüfung

OpenAgentSkill Trust Score

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

GitHub-Akzeptanz

Info

62

416 GitHub-Stars

Star-/Fork-Aktivität

Info

62

416 Stars und 116 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar

Aktuelle Wartung

Bestanden

88

1 Monate seit dem letzten Push

Lizenzklarheit

Bestanden

86

Apache-2.0

README/SKILL.md-Vollständigkeit

Bestanden

86

Metadaten enthalten ausreichend Nutzungs- und Workflow-Kontext

Abhängigkeits-/Laufzeitrisiko

Fehlgeschlagen

36

command execution surface, credential or environment access

Installationsverfügbarkeit

Bestanden

92

npx skills add google-ai-edge/litert-samples --skill litert-conversion-workflow

Sicherheit des Installationsbefehls

Bestanden

92

Standard-Paket- oder Laufzeit-Installationspfad

Berechtigungsumfang

Fehlgeschlagen

22

secrets or environment access, shell or command execution

Repository-Nachweis

Bestanden

86

https://github.com/google-ai-edge/litert-samples/tree/main/skills/litert-conversion-workflow

Prüfstatus

Bestanden

88

KI-Prüfdaten verfügbar

Agent-validierte Ergebnisse

Info

54

Noch keine Agent-Ergebnisdaten

Prüfungen

Installations- und Adoptionsprüfung

7 Bestanden · 14 Prüfung nötig

Installationspfad

92

Bestanden

npx skills add google-ai-edge/litert-samples --skill litert-conversion-workflow

Repository

88

Bestanden

https://github.com/google-ai-edge/litert-samples/tree/main/skills/litert-conversion-workflow

Lizenz

86

Bestanden

Apache-2.0

Wartung

88

Bestanden

1 Monate seit dem letzten Push

KI-Prüfung

88

Bestanden

Approved with no listed issues

README/SKILL.md-Vollständigkeit

86

Bestanden

Usable description available

Abhängigkeitsrisiko

36

Beheben

command execution surface, credential or environment access

Sicherheit des Installationsbefehls

92

Bestanden

Standard-Paket- oder Laufzeit-Installationspfad

Berechtigungsumfang

22

Beheben

secrets or environment access, shell or command execution

Star-/Fork-Aktivität

62

Prüfen

416 Stars und 116 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar

Akzeptanz

68

Info

416 GitHub-Stars

Financial decision safety

20

Beheben

Potential execution surface detected; do not connect live broker, exchange, wallet, or payment credentials.

Warnungen

  • 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
  • Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
  • Financial research output is not financial advice; require human review before any live investment decision.
  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
  • 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.

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