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Skill scan report

openapi-to-mcp

View on GitHub
49 Medium Automated analysis flagged 3 potential risk patterns.

What this skill does

Build and deploy an MCP server from an OpenAPI / Swagger spec using the mcp-use TypeScript SDK. The skill ingests OpenAPI specs, maps operations to tools, scaffolds code, wires auth, tests, and deploy

github/mcp-use - Privilege Escalation - 10.5k stars

ThreatsPrivilege Escalation

Threat analysis

Privilege Escalation3 findings

Skill info

Namemcp-use/openapi-to-mcp
Registrygithub
Versionafcc55d
PURLpkg:github/mcp-use/mcp-use@afcc55d?skill=openapi-to-mcp
Stars10.5k

Assessments (3)

Privilege Escalation3 findings HIGH
HIGH

Privilege Escalation via local-llm-review

references/deploy.md

Secrets in your local `.env` so you can transcribe them to the dashboard later. **Don't push `.env`**  -  confirm it's in `.gitignore`.
HIGH

Privilege Escalation via local-llm-review

references/testing.md

Make sure .env has the right secrets (and is gitignored)
HIGH

Privilege Escalation via local-llm-review

references/auth.md

The rule of thumb: never put secrets in the conversation, never commit them, and never bake them into `index.ts`. Everything goes through `process.env` so the same code runs locally and in production.

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How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of openapi-to-mcp? Report an issue or request a rescan.

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