Evaluasi sebelum pemasangan
linkedin-reply-handler 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.
Tinjauan manual
Memerlukan persetujuan manusia sebelum memasang ke workspace nyata.
Gerbang wajib
Pemeriksaan yang harus dilalui Agent sebelum memasang
Kecocokan tugas
84
Task wording matches this skill metadata.
- Evaluate linkedin-reply-handler before installing it in an agent workflow
- Riset
- Research agents workflows; Claude Code teams; teams that value GitHub adoption signals
Jalur pemasangan
92
Install handoff is available.
- npx skills add sergebulaev/linkedin-skills --skill linkedin-reply-handler
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
- npx skills add sergebulaev/linkedin-skills --skill linkedin-reply-handler
Skor kepercayaan
74
Good trust signals with a few areas worth checking before rollout.
- Shortlist kuat
- 880 star GitHub
- MIT
Skor audit
79
Perlu ditinjau
- Fetched LinkedIn comments and post text are treated as context, but SKILL.md does not explicitly warn the agent to treat them as untrusted data rather than instructions. A malicious comment could contain prompt-injection-style text.
Gerbang keamanan Agent
59
Kandidat yang dapat digunakan, tetapi Agent harus menampilkan catatan izin dan audit sebelum memasang.
- Memerlukan persetujuan manusia sebelum memasang ke workspace nyata.
- Fetched LinkedIn comments and post text are treated as context, but SKILL.md does not explicitly warn the agent to treat them as untrusted data rather than instructions. A malicious comment could contain prompt-injection-style text.
Kejelasan lisensi
86
MIT
- MIT
Cakupan izin
72
filesystem or document access, network or browser access
- Network access: medium
- Filesystem access: medium
- Database access: medium
Rencana validasi
Langkah Agent berikutnya
- 1Inspect repository, README/SKILL.md, license, and recent commits before production use.
- 2Install in an isolated workspace or sandbox with no production secrets available.
- 3Run the smallest representative task and record files touched, commands run, network access, and outputs.
- 4Compare the selected skill against at least one alternative when the eval status is review or failed.
- 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
- Fetched LinkedIn comments and post text are treated as context, but SKILL.md does not explicitly warn the agent to treat them as untrusted data rather than instructions. A malicious comment could contain prompt-injection-style text.
- APIFY_TOKEN is referenced as an environment variable, but there is no setup/configuration section explaining required env vars, permission scope, or what the Publora wrapper does with credentials.
- Quality score needs review
- Production credentials, payments, or irreversible account changes without explicit human review
Pemeriksaan pendukung
Sinyal kepercayaan di balik keputusan
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Pemeliharaan terbaru
Lulus88
1 bulan sejak push
Alternatif tersedia
Lulus82
Alternative skills are available for comparison.