Laporan audit skill
linkedin-reply-handler Laporan audit.
Draft a reply to a specific existing LinkedIn comment from its URL. Use when the user wants to reply to a comment on any post, or follow up after an author replied to them. Parses the commentUrn, resolves the correct parentComment target (LinkedIn flattens threads to 2 levels), and posts via Publora on approval. Not for top-level comments (use linkedin-comment-drafter).
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopsi GitHub
Info76
880 star GitHub
Aktivitas star/fork
Info71
880 star dan 140 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
1 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Lulus82
network or browser surface
Ketersediaan pemasangan
Lulus92
npx skills add sergebulaev/linkedin-skills --skill linkedin-reply-handler
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Info72
filesystem or document access, network or browser access
Bukti repositori
Lulus86
https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-reply-handler
Status peninjauan
Info66
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add sergebulaev/linkedin-skills --skill linkedin-reply-handler
Repositori
88
https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-reply-handler
Lisensi
86
MIT
Pemeliharaan
88
1 bulan sejak push
Tinjauan AI
55
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.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
82
network or browser surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
72
filesystem or document access, network or browser access
Aktivitas star/fork
71
880 star dan 140 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
880 star GitHub
Peringatan
- 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
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.
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