OpenAgentSkill
GitHub200+

Laporan audit skill

patentfig-ai-patent-drawing Laporan audit.

Generate patent-office-compliant figures via the PatentFig AI API — patent line art from text (PNG or SVG), vectorize drawings to SVG/DXF/vector PDF, AI-upscale images, and convert to filing-ready TIFF/PDF/PNG. Use when the user asks for patent drawings, patent figures, invention diagrams, USPTO/EPO-compliant line art, vectorizing a drawing for CAD, or preparing figures for a patent filing. Requires a PATENTFIG_API_KEY environment variable.

Diblokir · BlokirPerlu ditinjauDihasilkan 14 Okt 2026Audit metadata heuristik
65
Audit
57
Kepercayaan
50
Kualitas
69
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

57
Perlu tinjauan mendalam

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

88

1 bulan 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

46

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add TopLocalAI/patentfig-skill --skill patentfig-ai-patent-drawing

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

22

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/TopLocalAI/patentfig-skill/blob/main/SKILL.md

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 TopLocalAI/patentfig-skill --skill patentfig-ai-patent-drawing

Repositori

88

Lulus

https://github.com/TopLocalAI/patentfig-skill/blob/main/SKILL.md

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

The skill relies on an external API key and instructs users not to hardcode or print it, but it could be more explicit that the agent must never echo, log, or transmit the key outside the intended Authorization header.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

46

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

22

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

32

Perbaiki

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

Adopsi

42

Periksa

0 star GitHub

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill relies on an external API key and instructs users not to hardcode or print it, but it could be more explicit that the agent must never echo, log, or transmit the key outside the intended Authorization header.
  • Metadata tags are nested under the `metadata` field rather than provided as top-level `tags`/`frameworks`, so the parsed metadata shows `tags: []` and may hurt discoverability.
  • The provided SKILL.md excerpt ends mid-sentence, so the full operational rules section should be confirmed to be present and complete in the repository.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 0 GitHub stars
  • Stars/forks activity: 0 stars, 0 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

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.

Bandingkan opsi sekitar

Skill terkait untuk diaudit berikutnya

analysis-graphing

RenoDX workflow for creating readable analysis graphs and plots from shader math, CSVs, EXRs, LUTs, hue sweeps, tone curves, gamut comparisons, energy/scalar maps, and test-pattern statistics. Use when graphing, plotting, visualizing, comparing curves, making dark-theme matplotlib figures, or avoiding repeated one-off plot scripts.

3.8K Star · Laporan audit

formulate-abstractions

Formulate clear semantic abstractions from desired behavior before committing to implementation. Use when designing or revising terminology, entities, boundaries, responsibilities, relationships, high-level architecture, or a plan whose foundational shapes are unclear, disputed, or constrained by the current implementation.

2.6K Star · Laporan audit

codebase-design

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

273K Star · Laporan audit