Star200+

Evaluasi sebelum pemasangan

daily-progress-report 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
74
Laporan evaluasi
74
Kepercayaan
80
Audit
64
Keamanan Agent

Tinjauan manual

Memerlukan persetujuan manusia sebelum memasang ke workspace nyata.

Gerbang wajib

Pemeriksaan yang harus dilalui Agent sebelum memasang

Buka JSON

Kecocokan tugas

84

Lulus

Task wording matches this skill metadata.

  • Evaluate daily-progress-report before installing it in an agent workflow
  • Desain dan kreatif
  • Research agents 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 daily-progress-report

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

  • npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill daily-progress-report

Skor kepercayaan

74

Peringatan

Good trust signals with a few areas worth checking before rollout.

  • Shortlist kuat
  • 282 star GitHub
  • MIT

Skor audit

80

Peringatan

Perlu ditinjau

  • SKILL.md does not explicitly list required Python packages (e.g., pandas) as dependencies, only python3 binary.

Gerbang keamanan Agent

64

Peringatan

Kandidat yang dapat digunakan, tetapi Agent harus menampilkan catatan izin dan audit sebelum memasang.

  • Memerlukan persetujuan manusia sebelum memasang ke workspace nyata.
  • SKILL.md does not explicitly list required Python packages (e.g., pandas) as dependencies, only python3 binary.

Kejelasan lisensi

86

Lulus

MIT

  • MIT

Cakupan izin

86

Lulus

Akses sistem file atau dokumen

  • Network access: medium
  • Filesystem 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
  • SKILL.md does not explicitly list required Python packages (e.g., pandas) as dependencies, only python3 binary.
  • No OpenAgentSkill engagement data yet
  • SKILL.md excerpt appears truncated in the review but may be complete in repository.
  • Quality score needs review

Pemeriksaan pendukung

Sinyal kepercayaan di balik keputusan

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Pemeliharaan terbaru

Lulus

100

1 hari sejak push

Alternatif tersedia

Lulus

82

Alternative skills are available for comparison.