Rapport d’audit du skill
call-summarizer Rapport d’audit.
Turn a finished CALL-E phone-call transcript into a structured post-call brief with a one-line outcome, a masked summary, extracted action items with owners and due dates, caller sentiment, and a redacted caller fingerprint. Use after any CALL-E call when an agent or operator needs an actionable, reviewable record of what was said without re-reading the whole transcript or re-playing the recording.
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
63 stars GitHub
Activité stars/forks
Avertissement53
63 stars et 127 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé100
2 jours 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, external package install surface
Disponibilité de l’installation
Validé92
npx skills add CALLE-AI/awesome-phone-call-agents --skill call-summarizer
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/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer
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 CALLE-AI/awesome-phone-call-agents --skill call-summarizer
Dépôt
88
https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer
Licence
86
MIT
Maintenance
100
2 jours depuis le dernier push
Revue IA
55
The skill relies on regex-based masking for personal names, which is explicitly partial and may miss names without introduction cues. This is documented, but downstream consumers should be aware of the limitation.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
54
command execution surface, external package install 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
53
63 stars et 127 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
63 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 relies on regex-based masking for personal names, which is explicitly partial and may miss names without introduction cues. This is documented, but downstream consumers should be aware of the limitation.
- The script accepts a file path for the transcript; if used in an untrusted environment, an attacker could potentially point it to arbitrary files. However, the skill is designed for local, operator-controlled use and does not exfiltrate data.
- 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: 63 GitHub stars
- Stars/forks activity: 63 stars, 127 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, external package install surface
- Permission surface: shell or command execution, filesystem or document access
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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