Skill audit report

agent-observability-experiment-bootstrap Audit report.

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.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 5, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

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

158 GitHub stars

Stars/forks activity

WARN

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

Recent maintenance

PASS

2mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

credential or environment access, network or browser surface

Install availability

PASS

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

Install command safety

PASS

standard package or runtime install path

Permission surface

FAIL

secrets or environment access, filesystem or document access

Repository evidence

PASS

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

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 13 Needs review

Install path

PASS

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

Repository

PASS

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

License

PASS

MIT

Maintenance

PASS

2mo since push

AI review

CHECK

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

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

FIX

credential or environment access, network or browser surface

Install command safety

PASS

standard package or runtime install path

Permission surface

FIX

secrets or environment access, filesystem or document access

Stars/forks activity

FIX

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

Adoption

INFO

158 GitHub stars

Warnings

Dependency or permission surface needs review
Permission surface may require sandboxing
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.
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

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.

Install path

Review the report before installing into production agents.

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

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 73/100
Quality: 66/100
Trust: 66/100
Install safety: 92/100
Permission surface: 34/100
Maintenance: 2mo since push
Events: 14 events
GitHub stars: 158
Last push: Aug 26, 2026

Agent safety v2

37/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

High-risk permission hints: Secrets or environment access
37/100 agent safety score

Browser automation

medium

Skill may drive a browser or interact with web pages.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Secrets or environment access

high

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

High-risk permission hints: Secrets or environment access
Dependency or permission surface needs review

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