ร‰valuation avant installation

Llm Twin Course Rapport dโ€™รฉvaluation.

Une dรฉcision dโ€™installation lisible par machine pour les Agents : adรฉquation ร  la tรขche, Trust Score, Audit Score, sรฉcuritรฉ dโ€™installation, surface de permissions et plan de validation concret avant de toucher lโ€™espace de travail.

ร‰chouรฉRisque รฉlevรฉBloquer Politique
88
Rapport dโ€™รฉvaluation
87
Confiance
89
Audit
73
Sรฉcuritรฉ Agent

do not auto install

Install path: No install command or repository handoff is available.

Gates requis

Vรฉrifications quโ€™un Agent doit rรฉussir avant installation

Ouvrir JSON

Adรฉquation ร  la tรขche

94

Validรฉ

Task wording matches this skill metadata.

  • Evaluate Llm Twin Course before installing it in an agent workflow
  • development
  • Coding agents workflows; Claude Code teams; teams that value GitHub adoption signals

Chemin dโ€™installation

20

ร‰chouรฉ

No install command or repository handoff is available.

Sรฉcuritรฉ de la commande dโ€™installation

92

Validรฉ

Chemin dโ€™installation standard de package ou runtime

Score de confiance

87

Validรฉ

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

  • Candidate de production
  • 4.3K stars GitHub
  • MIT

Score dโ€™audit

89

Avertissement

Revue nรฉcessaire

  • Financial research output is not financial advice; require human review before any live investment decision

Contrรดle de sรฉcuritรฉ Agent

73

Avertissement

Candidat utilisable, mais lโ€™Agent doit afficher les notes de permissions et dโ€™audit avant lโ€™installation.

  • Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.

Clartรฉ de licence

86

Validรฉ

MIT

  • MIT

Surface de permissions

86

Validรฉ

Accรจs au systรจme de fichiers ou aux documents

  • Network access: medium
  • Filesystem access: medium

Plan de validation

Ce que lโ€™Agent doit faire ensuite

  1. 1Inspect repository, README/SKILL.md, license, and recent commits before production use.
  2. 2Install in an isolated workspace or sandbox with no production secrets available.
  3. 3Run the smallest representative task and record files touched, commands run, network access, and outputs.
  4. 4Compare the selected skill against at least one alternative when the eval status is review or failed.
  5. 5Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Ne pas utiliser quand

Conditions exigeant une autre skill

  • ร‰quipes qui nรฉcessitent un SLA soutenu par le fournisseur
  • Environnements fortement conformes sans revue interne de sรฉcuritรฉ
  • No major risk signals from current metadata
  • Financial research output is not financial advice; require human review before any live investment decision
  • Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.
  • Financial research output is not financial advice; require human review before any live investment decision.

Vรฉrifications complรฉmentaires

Signaux de confiance derriรจre la dรฉcision

Complรฉtude README/SKILL.md

Validรฉ

90

Les mรฉtadonnรฉes incluent suffisamment de contexte dโ€™usage et de workflow

Maintenance rรฉcente

Avertissement

76

6 mois depuis le dernier push

Alternatives disponibles

Validรฉ

82

Alternative skills are available for comparison.