Evaluasi sebelum pemasangan

bim-classification-ai Laporan evaluasi.

Keputusan pemasangan yang dapat dibaca mesin untuk Agent: kecocokan tugas, Trust Score, Audit Score, keamanan pemasangan, cakupan izin, dan rencana validasi konkret sebelum skill menyentuh workspace.

Perlu ditinjauRisiko sedangTinjau Kebijakan
69
Laporan evaluasi
69
Kepercayaan
78
Audit
50
Keamanan Agent

Tinjauan manual

Test manually in an isolated workspace and compare against safer alternatives.

Gerbang wajib

Pemeriksaan yang harus dilalui Agent sebelum memasang

Buka JSON

Kecocokan tugas

84

Lulus

Task wording matches this skill metadata.

  • Evaluate bim-classification-ai before installing it in an agent workflow
  • Agent pemrograman
  • Browser automation workflows; Claude Code teams; builders willing to evaluate younger projects

Jalur pemasangan

92

Lulus

Install handoff is available.

  • npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

  • npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai

Skor kepercayaan

69

Peringatan

Potentially useful, but at least one trust signal needs human inspection.

  • Tinjauan manual
  • 282 star GitHub
  • MIT

Skor audit

78

Peringatan

Perlu ditinjau

  • The skill declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions.

Gerbang keamanan Agent

50

Peringatan

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

  • Test manually in an isolated workspace and compare against safer alternatives.
  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah

Kejelasan lisensi

86

Lulus

MIT

  • MIT

Cakupan izin

64

Peringatan

Eksekusi shell atau perintah, akses database

  • Shell or command execution: high
  • Network access: medium
  • Database access: medium

Rencana validasi

Langkah Agent berikutnya

  1. 1Inspect repository, README/SKILL.md, license, and recent commits before production use.
  2. 2Install in an isolated workspace or sandbox with no production secrets available.
  3. 3Run the smallest representative task and record files touched, commands run, network access, and outputs.
  4. 4Compare the selected skill against at least one alternative when the eval status is review or failed.
  5. 5Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Jangan gunakan ketika

Kondisi yang membutuhkan skill lain

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • The skill declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions.
  • No OpenAgentSkill engagement data yet
  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
  • The metadata restricts OS to win32, which may be unnecessarily limiting for a Python-based skill that could work cross-platform.

Pemeriksaan pendukung

Sinyal kepercayaan di balik keputusan

Kelengkapan README/SKILL.md

Peringatan

76

Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat

Pemeliharaan terbaru

Lulus

100

1 hari sejak push

Alternatif tersedia

Lulus

82

Alternative skills are available for comparison.