Laporan audit skill
langfuse-integration-page Laporan audit.
Create a new Langfuse integration page in the langfuse-docs repo. Use this skill whenever the user wants to add, create, draft, or scaffold an integration page, cookbook, or docs page for a new tool/framework/model-provider/gateway in Langfuse — triggers include "new integration", "integration page", "docs page for <X>", "cookbook for <X>", "add <X> to langfuse docs", or any request that results in a new `cookbook/integration_*.ipynb`. Also use when the user pastes working integration code, a link to a partner's docs, or rough notes and wants them turned into the standard Langfuse integration notebook. The skill produces a correctly formatted Jupyter notebook, updates `cookbook/_routes.json`, and tries to fetch the partner logo into `public/images/integrations/`.
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
Info62
240 star GitHub
Aktivitas star/fork
Info68
240 star dan 294 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
Gagal36
command execution surface, credential or environment access
Ketersediaan pemasangan
Lulus92
npx skills add langfuse/langfuse-docs --skill langfuse-integration-page
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Gagal18
secrets or environment access, shell or command execution
Bukti repositori
Lulus86
https://github.com/langfuse/langfuse-docs/tree/main/.agents/skills/langfuse-integration-page
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 langfuse/langfuse-docs --skill langfuse-integration-page
Repositori
88
https://github.com/langfuse/langfuse-docs/tree/main/.agents/skills/langfuse-integration-page
Lisensi
86
MIT
Pemeliharaan
88
1 bulan sejak push
Tinjauan AI
55
The skill instructs to download logos from external URLs; while it is best-effort and user-confirmed, it could be a vector for fetching untrusted content if the user supplies a malicious URL. However, this is not a hidden or excessive risk.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
36
command execution surface, credential or environment access
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
18
secrets or environment access, shell or command execution
Aktivitas star/fork
68
240 star dan 294 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
240 star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill instructs to download logos from external URLs; while it is best-effort and user-confirmed, it could be a vector for fetching untrusted content if the user supplies a malicious URL. However, this is not a hidden or excessive risk.
- The skill relies on the user having a local checkout of langfuse-docs; it does not validate the repository state before making changes, which could lead to unintended modifications if run in the wrong directory.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
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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