Caveat verdict

hardware-llm-optimizer

hardware-llm-optimizer-v2

45
🟠 Risky
Significant risk patterns flagged — automated deep scan, not behavioral proof.

The skill instructs running `curl -fsSL https://llmfit.axjns.dev/install.sh | sh` to install llmfit from an unrecognized third-party domain, which executes arbitrary remote code.

⚠ 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.

15
security
90
transparency
90
maintenance

Permission integrity

Makes network requests but does not declare curl/wget in required binaries

network_out

Findings (3)

Pattern match critical

Pipe-to-shell pattern (curl | sh) — supply chain attack vector

SKILL.md · code · curl -fsSL https://llmfit.axjns.dev/install.sh | sh

Pattern match critical

Pipe to sh — executes piped content as shell commands

SKILL.md · code · | sh

Pattern match medium

subprocess execution — runs system commands from Python

detect.py · prose · downgraded · subprocess.check_output(

Why the tier is capped

Execution sink present in raw bytes (Hard Floor: class A/B/D). Final tier capped at Caution — cannot be lifted by any downgrade, example-payload opt-in, or allowlist.

Permissions & capabilities

No declared permissions — minimal attack surface.

network_out

Is this flag fair?

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