Laporan audit skill

call-summarizer Laporan 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.

Eksperimental · TinjauPerlu ditinjauDihasilkan 23 Agu 2026Audit metadata heuristik
74
Audit
66
Kepercayaan
65
Kualitas
73
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

66
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Peringatan

48

63 star GitHub

Aktivitas star/fork

Peringatan

53

63 star dan 127 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

100

2 hari sejak push

Kejelasan lisensi

Lulus

86

MIT

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Peringatan

54

command execution surface, external package install surface

Ketersediaan pemasangan

Lulus

92

npx skills add CALLE-AI/awesome-phone-call-agents --skill call-summarizer

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

36

shell or command execution, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 17 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add CALLE-AI/awesome-phone-call-agents --skill call-summarizer

Repositori

88

Lulus

https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer

Lisensi

86

Lulus

MIT

Pemeliharaan

100

Lulus

2 hari sejak push

Tinjauan AI

55

Periksa

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.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

54

Perbaiki

command execution surface, external package install surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

36

Perbaiki

shell or command execution, filesystem or document access

Aktivitas star/fork

53

Perbaiki

63 star dan 127 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

63 star GitHub

Financial decision safety

58

Periksa

Research-only use: do not treat output as financial advice or execute a position without human approval.

Peringatan

  • 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

Metode

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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