Laporan audit skill

agent-observability-experiment-bootstrap Laporan audit.

Bootstrap a reproducible LLM Observability experiment through the Python ddtrace SDK or the Node dd-trace SDK. Use for experiment, dataset, evaluator, benchmark, regression, or LLM-as-a-judge scaffolding. The legacy Python invocation remains supported.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik

Audit

Kepercayaan

Kualitas

Keamanan

Maintain

Pasang

Trust Score OpenAgentSkill

Tinjauan manual

Trust Score OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adopsi GitHub

Info

158 star GitHub

Aktivitas star/fork

Peringatan

158 star dan 25 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

2 bulan sejak push

Kejelasan lisensi

Lulus

MIT

Kelengkapan README/SKILL.md

Lulus

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Peringatan

credential or environment access, network or browser surface

Ketersediaan pemasangan

Lulus

npx skills add datadog-labs/agent-skills --skill agent-observability-experiment-bootstrap

Keamanan perintah pemasangan

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

secrets or environment access, filesystem or document access

Bukti repositori

Lulus

https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-experiment-bootstrap

Status peninjauan

Info

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 16 Perlu ditinjau

Jalur pemasangan

Lulus

npx skills add datadog-labs/agent-skills --skill agent-observability-experiment-bootstrap

Repositori

Lulus

https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-experiment-bootstrap

Lisensi

Lulus

MIT

Pemeliharaan

Lulus

2 bulan sejak push

Tinjauan AI

Periksa

The skill relies on external Datadog SDKs and requires API keys; it should explicitly warn against hardcoding secrets in generated artifacts.

Kelengkapan README/SKILL.md

Lulus

Usable description available

Risiko dependensi

Perbaiki

credential or environment access, network or browser surface

Keamanan perintah pemasangan

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

Perbaiki

secrets or environment access, filesystem or document access

Aktivitas star/fork

Perbaiki

158 star dan 25 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

Info

158 star GitHub

Financial decision safety

Periksa

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 relies on external Datadog SDKs and requires API keys; it should explicitly warn against hardcoding secrets in generated artifacts.
The SKILL.md excerpt is truncated, but the provided content is thorough; ensure the full document maintains the same level of detail.
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, filesystem or document access
Stars/forks activity: 158 stars, 25 forks; issue activity unavailable in current metadata
Dependency/runtime risk: credential or environment access, network or browser surface
Permission surface: secrets or environment access, filesystem or document access

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.

Jalur pemasangan

Tinjau laporan sebelum memasang pada Agent produksi.

$ npx skills add datadog-labs/agent-skills --skill agent-observability-experiment-bootstrap

Metadata yang dapat dibaca Agent

Paket keputusan mesin

JSON tersemat menyediakan tugas dan Agent yang sesuai, perintah pemasangan, skor kepercayaan, gerbang keamanan, alternatif, serta kondisi jangan gunakan untuk ditinjau Agent.

Kebijakan pemasangan: Tinjau
Agent terbaik: Codex + Claude Code
Alternatif: 3

Buka JSON Agent

Sinyal

Skor audit: 73/100
Quality: 66/100
Trust: 66/100
Install safety: 92/100
Cakupan izin: 34/100
Pemeliharaan: 2 bulan sejak push
Event: 14 event
Star GitHub: 158
Push terakhir: 26 Agu 2026

Keamanan Agent v2

37/100 · Hindari pemasangan otomatis

EksperimentalTinjau

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: Secrets or environment access
skor keamanan Agent 37/100

Browser automation

Sedang

Skill may drive a browser or interact with web pages.

Akses jaringan

Sedang

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Akses sistem file

Sedang

Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.

Secrets or environment access

Tinggi

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

Petunjuk izin berisiko tinggi: Secrets or environment access
Dependency or permission surface needs review

Kembali ke skill Alternatif Badge audit SVG

Bandingkan opsi sekitar

Skill terkait untuk diaudit berikutnya

Echarts

Apache ECharts is a powerful, interactive charting and data visualization library for browser

67K Star · Laporan audit

D3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

113K Star · Laporan audit

Scientific Agent Skills

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

33K Star · Laporan audit