Skill-Audit-Bericht
agent-observability-eval-pipeline Audit-Bericht.
End-to-end Agent Observability pipeline for an instrumented ml_app — classify production traces, root-cause failures, bootstrap evaluators, then (optionally) sample + publish a dataset, generate + run an experiment, and analyze results. Six narrated phases with a standardized banner and a "continue" checkpoint between each. Pure orchestration over the agent-observability sub-skills (`agent-observability-session-classify`, `agent-observability-trace-rca`, `agent-observability-eval-bootstrap`, `agent-observability-experiment-bootstrap`, `agent-observability-experiment-analyzer`). Use when user says "run the eval pipeline", "go from traces to evals", "bootstrap evals end to end", "classify then RCA then bootstrap", "build an eval set from scratch", "onboard me to datasets and experiments", "walk me through experiments", "I have an ml_app, now what", "Agent Observability onboarding", "guided experiment setup", "from traces to experiments", or wants a deterministic, narrated tour from produ
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub-Akzeptanz
Info62
158 GitHub-Stars
Star-/Fork-Aktivität
Warnung57
158 Stars und 25 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden88
2 Monate seit dem letzten Push
Lizenzklarheit
Bestanden86
MIT
README/SKILL.md-Vollständigkeit
Bestanden86
Metadaten enthalten ausreichend Nutzungs- und Workflow-Kontext
Abhängigkeits-/Laufzeitrisiko
Warnung46
command execution surface, credential or environment access
Installationsverfügbarkeit
Bestanden92
npx skills add datadog-labs/agent-skills --skill agent-observability-eval-pipeline
Sicherheit des Installationsbefehls
Info68
dynamic command execution, standard package or runtime install path
Berechtigungsumfang
Fehlgeschlagen22
secrets or environment access, shell or command execution
Repository-Nachweis
Bestanden86
https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-eval-pipeline
Prüfstatus
Info66
KI-Prüfdaten verfügbar
Agent-validierte Ergebnisse
Info54
Noch keine Agent-Ergebnisdaten
Prüfungen
Installations- und Adoptionsprüfung
Installationspfad
92
npx skills add datadog-labs/agent-skills --skill agent-observability-eval-pipeline
Repository
88
https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-eval-pipeline
Lizenz
86
MIT
Wartung
88
2 Monate seit dem letzten Push
KI-Prüfung
55
The skill invokes sub-skills (agent-observability-session-classify, etc.) that are not included in this repository; they must be separately installed for the pipeline to work.
README/SKILL.md-Vollständigkeit
86
Usable description available
Abhängigkeitsrisiko
46
command execution surface, credential or environment access
Sicherheit des Installationsbefehls
68
dynamic command execution, standard package or runtime install path
Berechtigungsumfang
22
secrets or environment access, shell or command execution
Star-/Fork-Aktivität
57
158 Stars und 25 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Akzeptanz
68
158 GitHub-Stars
Warnungen
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill invokes sub-skills (agent-observability-session-classify, etc.) that are not included in this repository; they must be separately installed for the pipeline to work.
- Phase 5 executes a generated Python script. While this is a core feature, ensure that any user-supplied data (e.g., dataset content) cannot inject unintended code or commands into the generated script.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 158 stars, 25 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Methode
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.
Nahe Optionen vergleichen
Ähnliche Skills als Nächstes prüfen
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
181K Stars · Audit-Bericht
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
95K Stars · Audit-Bericht
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
181K Stars · Audit-Bericht