OpenAgentSkill
GitHub200+

Evaluasi sebelum pemasangan

data-analysis 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
68
Laporan evaluasi
68
Kepercayaan
75
Audit
47
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

94

Lulus

Task wording matches this skill metadata.

  • Evaluate data-analysis 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 0xranx/golembot --skill data-analysis

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

  • npx skills add 0xranx/golembot --skill data-analysis

Skor kepercayaan

68

Peringatan

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

  • Tinjauan manual
  • 320 star GitHub
  • MIT

Skor audit

75

Peringatan

Perlu ditinjau

  • The SKILL.md uses `ls data/` which is not cross-platform (Windows uses `dir`).

Gerbang keamanan Agent

47

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

62

Peringatan

shell or command execution, filesystem or document access

  • Shell or command execution: high
  • 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
  • The SKILL.md uses `ls data/` which is not cross-platform (Windows uses `dir`).
  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
  • The skill does not explicitly instruct the agent to create the `data/` and `reports/` directories if they do not exist.
  • The calc.py helper only supports CSV, while the skill claims to handle Excel and JSON as well.

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

88

1 bulan sejak push

Alternatif tersedia

Lulus

82

Alternative skills are available for comparison.