cloudarc-bounded-memory-benchmark@1.4.2
VERIFIED· install onlyPublisher claims: "Make CloudArc large-package performance reproducible, measurable and safe to ship. Drives the bounded-memory workflow for the .vibo container - streaming pack/unpack inside a fixed RSS ceiling, high-cardinality multi-file archives with SHA-256 dedup, remote-search range telemetry and the CI/manual gates that guard them. Use when changing benchmarks, SLOs, manifest or index cardinality, remote metadata reads or GitHub Actions checks, or when reviewing a large-package MVP before real cloud providers are switched on." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-07 and scored it 92/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
completed = subprocess.run(command, cwd=cwd, check=False)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.No other findings across 1,212 lines in 7 files.
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.