Laporan audit skill

svara-multilingual Laporan audit.

Speak Indian, African, Asian and other non-English text naturally with Svara TTS Turbo, which covers 82 languages and switches automatically inside mixed-script text such as Hinglish (Hindi plus English). Use for Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, Urdu, Bhojpuri, Arabic, Swahili, Yoruba, Japanese and other language TTS; for code-mixed text; for forcing a language or normalising numbers and dates; and for fixing the pronunciation of brand names and acronyms with pronunciation dictionaries.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
71
Audit
61
Kepercayaan
58
Kualitas
72
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

61
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Gagal

30

0 star GitHub

Aktivitas star/fork

Gagal

32

0 star dan 0 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

100

10 hari sejak push

Kejelasan lisensi

Lulus

86

Apache-2.0

Kelengkapan README/SKILL.md

Lulus

94

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Peringatan

46

command execution surface, external package install surface

Ketersediaan pemasangan

Lulus

92

npx skills add kenpath-labs/svara-python --skill svara-multilingual

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Peringatan

50

shell or command execution, network or browser access

Bukti repositori

Lulus

86

https://github.com/kenpath-labs/svara-python/tree/3b607656ae9e9ba3fc5ae1d3f64d80eb51bb3cd4/skills/svara-multilingual

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 · 18 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add kenpath-labs/svara-python --skill svara-multilingual

Repositori

88

Lulus

https://github.com/kenpath-labs/svara-python/tree/3b607656ae9e9ba3fc5ae1d3f64d80eb51bb3cd4/skills/svara-multilingual

Lisensi

86

Lulus

Apache-2.0

Pemeliharaan

100

Lulus

10 hari sejak push

Tinjauan AI

55

Periksa

Setup details are only in the frontmatter compatibility line; the body lacks a clear 'Setup' section showing how to install the SDK and set SVARA_API_KEY.

Kelengkapan README/SKILL.md

94

Lulus

Usable description available

Risiko dependensi

46

Perbaiki

command execution surface, external package install surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

50

Perbaiki

shell or command execution, network or browser access

Aktivitas star/fork

32

Perbaiki

0 star dan 0 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

0 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
  • Setup details are only in the frontmatter compatibility line; the body lacks a clear 'Setup' section showing how to install the SDK and set SVARA_API_KEY.
  • No guidance on error handling, retries, rate limits, or network failures when calling the Svara API.
  • No privacy note explaining that input text is sent to api.kenpathlabs.com, which matters for sensitive or confidential content.
  • Low GitHub adoption signal
  • 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, network or browser access
  • GitHub adoption: 0 GitHub stars
  • Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata

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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