Laporan audit skill

perceiving-objects-oneshot Laporan audit.

Lightweight one-shot 3D object perception. Runs Grounding-DINO broad detection, a SINGLE VLM set-of-marks letter pick over the labeled boxes, SAM3 box segmentation, depth back-projection, and geometry.filter_and_compute_obb. No pairwise tournament, no multi-view safe-gate. Returns a clean not_found output (no exception) when the VLM answers "none" or DINO emits no detections — making this the right skill for clean-all-items loops whose natural termination signal is "no more matching objects in view". Use when a multi-item loop needs a clean no-match exit, or for generic target descriptions on uncluttered scenes with reasonably sized targets.

Eksperimental · TinjauPerlu ditinjauDihasilkan 11 Okt 2026Audit metadata heuristik
74
Audit
70
Kepercayaan
60
Kualitas
80
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

70
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

41 star GitHub

Aktivitas star/fork

Peringatan

43

41 star dan 7 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

Lulus

90

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Ketersediaan pemasangan

Lulus

92

npx skills add graph-robots/open-robot-skills --skill perceiving-objects-oneshot

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Lulus

86

Akses sistem file atau dokumen

Bukti repositori

Lulus

86

https://github.com/graph-robots/open-robot-skills/tree/main/skills/perceiving-objects-oneshot

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 9 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add graph-robots/open-robot-skills --skill perceiving-objects-oneshot

Repositori

88

Lulus

https://github.com/graph-robots/open-robot-skills/tree/main/skills/perceiving-objects-oneshot

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

The script `perceive_simple.py` defines unused parameters `use_multiview` and `text_prompts` that are not referenced in the implementation, which may confuse maintainers.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

90

Lulus

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

86

Lulus

Akses sistem file atau dokumen

Aktivitas star/fork

43

Perbaiki

41 star dan 7 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

41 star GitHub

Peringatan

  • The script `perceive_simple.py` defines unused parameters `use_multiview` and `text_prompts` that are not referenced in the implementation, which may confuse maintainers.
  • The SKILL.md mentions `compatibility: requires gap>=0.1` but does not specify a minimum version for the underlying tools (e.g., Grounding-DINO, SAM3) – could be clarified.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 41 GitHub stars
  • Stars/forks activity: 41 stars, 7 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.

Bandingkan opsi sekitar

Skill terkait untuk diaudit berikutnya