Install
$ agentstack add skill-runxhq-runx-openapi-tool ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
An OpenAPI front, expressed as an external adapter. The adapter reads a checked-in OpenAPI spec (openapi.json), resolves the requested operation, validates parameters against the spec, performs the adapter-owned HTTP call, and seals the response. The network leg lives on the adapter, the supervised side of the boundary; when the endpoint is unreachable (the bare harness, no fixture server) it falls back to the resolved request so the example still runs offline. This proves the governed core runs from an external spec, not only from MCP: the same external-adapter lane carries any protocol.
examples/openapi-graph/run.sh starts a local fixture endpoint and shows the real response sealed into the receipt. external-adapter is a graph-step front, not a top-level runner.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: runxhq
- Source: runxhq/runx
- License: MIT
- Homepage: https://runx.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.