Install
$ agentstack add skill-runxhq-runx-http-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
A governed HTTP GET expressed as a first-class http source. The runtime maps the inputs to the query string, runs the call through the governed transport (SSRF and private-network filtering, header validation, no-redirect, SSL, timeouts), and seals the response like any other source. There is one governed HTTP path; this reuses the same transport the registry client and the managed-agent resolver use.
allow_private_network is the explicit operator opt-in that lets this reach the loopback fixture. The default transport blocks private and loopback networks, so without the opt-in this call is refused (the SSRF guard), not silently allowed.
examples/http-graph/run.sh starts the fixture and shows the real response sealed into the receipt. http 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.