Rapport d’audit du skill
dspy-rlm-module Rapport d’audit.
Use dspy.RLM (Recursive Language Model) for reasoning over contexts too large to fit in an LLM's working window — entire codebases, long logs, massive documents, or multi-step data exploration that needs a sandboxed Python REPL. Use when the input is >100k tokens, needs recursive chunking, or benefits from the LLM writing and running code to probe data.
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
Info62
277 stars GitHub
Activité stars/forks
Avertissement57
277 stars et 24 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
Avertissement54
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add intertwine/dspy-agent-skills --skill dspy-rlm-module
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué22
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/intertwine/dspy-agent-skills/tree/main/skills/dspy-rlm-module
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 intertwine/dspy-agent-skills --skill dspy-rlm-module
Dépôt
88
https://github.com/intertwine/dspy-agent-skills/tree/main/skills/dspy-rlm-module
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
The SKILL.md excerpt appears to be truncated at the 'Anti-patterns' section; ensure the full document is present in the repository.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
54
command execution surface, credential or environment access
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
22
secrets or environment access, shell or command execution
Activité stars/forks
57
277 stars et 24 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
277 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The SKILL.md excerpt appears to be truncated at the 'Anti-patterns' section; ensure the full document is present in the repository.
- The example_rlm.py file also appears truncated in the provided excerpt; verify the complete script is included.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 277 stars, 24 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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