Caveat verdict

aws-agentcore-langgraph

88
🟢 Trusted
No high-risk patterns surfaced by the deep scan — automated capability review, not behavioral proof.

The skill seems to be a legitimate deployment tool for LangGraph agents on AWS Bedrock AgentCore, with a focus on multi-agent systems and production observability.

⚠ Flagged for review — coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

Automated static analysis — not a human review. Caveat flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.

63
security
70
transparency
70
maintenance

Permission integrity

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (3)

Pattern match high

Pipe to python — executes piped content as Python code

references/langgraph-patterns.md · prose · downgraded · | Python

Pattern match medium

Python os.getenv — reads environment variable

references/agentcore-memory.md · code · os.getenv(

Pattern match low

References agent memory files

SKILL.md · prose · downgraded · memory.md

Permissions & capabilities

No declared permissions — minimal attack surface.

package_install

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