Laporan audit skill

paper-figures Laporan audit.

Use this skill to produce standalone, publication-ready PNG graphics and reproducible matplotlib scripts from tabular data (CSVs or DataFrames). This tool is built specifically for rendering numerical data into formal scientific visualizations—including scatter, line, bar, pie, ring, bubble, tornado, KDE, violin, box, heatmap, histogram, and area charts, plus composite multi-panel figures that combine these types in a single image—for scholarly manuscripts. Only trigger this skill when the final deliverable is an individual image file. Do not use this skill for interactive dashboards or HTML-rendered outputs (Plotly, Streamlit, Quarto, Jupyter notebooks), nor when the request involves building a container document or presentation that includes charts (slide deck, conference poster). Finally, it is not for non-data conceptual illustrations like flowcharts, algorithm schematics, or process diagrams. This skill focuses on high-fidelity data rendering into final image files, not presentati

Eksperimental · TinjauPerlu ditinjauDihasilkan 11 Okt 2026Audit metadata heuristik
77
Audit
73
Kepercayaan
67
Kualitas
79
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

73
Shortlist kuat

Trust Score OpenAgentSkill

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

Adopsi GitHub

Info

62

212 star GitHub

Aktivitas star/fork

Peringatan

51

212 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

1 bulan sejak push

Kejelasan lisensi

Lulus

86

Apache-2.0

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 CamusGIT/EvoQuant --skill paper-figures

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Peringatan

48

shell or command execution, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/paper-figures

Status peninjauan

Lulus

88

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

7 Lulus · 13 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add CamusGIT/EvoQuant --skill paper-figures

Repositori

88

Lulus

https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/paper-figures

Lisensi

86

Lulus

Apache-2.0

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

88

Lulus

Approved with no listed issues

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

48

Perbaiki

shell or command execution, filesystem or document access

Aktivitas star/fork

51

Perbaiki

212 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

212 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
  • 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
  • Stars/forks activity: 212 stars, 3 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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