Skill audit report

agent-observability-eval-pipeline Audit report.

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

BLOCKED · BLOCKNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
71
Audit
63
Trust
66
Quality
67
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

63
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

62

158 GitHub stars

Stars/forks activity

WARN

57

158 stars, 25 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

46

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add datadog-labs/agent-skills --skill agent-observability-eval-pipeline

Install command safety

INFO

68

dynamic command execution, standard package or runtime install path

Permission surface

FAIL

22

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-eval-pipeline

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

5 Passed · 14 Needs review

Install path

92

PASS

npx skills add datadog-labs/agent-skills --skill agent-observability-eval-pipeline

Repository

88

PASS

https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-eval-pipeline

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

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 completeness

86

PASS

Usable description available

Dependency risk

46

FIX

command execution surface, credential or environment access

Install command safety

68

CHECK

dynamic command execution, standard package or runtime install path

Permission surface

22

FIX

secrets or environment access, shell or command execution

Stars/forks activity

57

FIX

158 stars, 25 forks; issue activity unavailable in current metadata

Adoption

68

INFO

158 GitHub stars

Warnings

  • 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

Method

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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