agentcore-investigation

agentcore-investigation is an LLM evaluation & observability skill for AI agents, published by awslabs in the mcp repository on GitHub. Skillspace rates agentcore-investigation D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Investigate Bedrock AgentCore runtime sessions via CloudWatch Logs Insights — resolve session/trace IDs, query OTEL spans, filter noise, build timelines. Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.

Grade
D
Quality
67 / 100
Safety
Passed
GitHub stars
9,481

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubawslabs/mcp

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 2 other repositories, in 1 collections
Scope
Vendor-specific: built around one product. Investigates AWS Bedrock AgentCore via CloudWatch Logs Insights

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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