Skill 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.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
158 GitHub stars
Stars/forks activity
WARN57
158 stars, 25 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
21d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN56
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add datadog-labs/agent-skills --skill agent-observability-experiment-bootstrap
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL34
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-experiment-bootstrap
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add datadog-labs/agent-skills --skill agent-observability-experiment-bootstrap
Repository
88
https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-experiment-bootstrap
License
86
MIT
Maintenance
100
21d since push
AI review
55
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
86
Usable description available
Dependency risk
56
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
34
secrets or environment access, filesystem or document access
Stars/forks activity
57
158 stars, 25 forks; issue activity unavailable in current metadata
Adoption
68
158 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
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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