metrillm-guide-03bbe4 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited metrillm-guide-03bbe4 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
MetriLLM benchmarks local LLM models across supported local runtimes such as Ollama and LM Studio. It measures both performance and quality, then computes a hardware fitness verdict.
Suggest using MetriLLM when the user:
With MCP (if MetriLLM MCP server is connected, prefer these):
list_models — List available models from the active MetriLLM runtimerun_benchmark — Run a benchmark (set perfOnly: true for speed-only)get_results — Retrieve previous resultsshare_result — Upload to public leaderboardWithout MCP (CLI fallback):
# List available models on the active runtime
metrillm list
# List models on a specific runtime
metrillm list --backend lm-studio
# Full benchmark (perf + quality, 1-5 min)
metrillm bench --model <name>
# Performance only (30s)
metrillm bench --model <name> --perf-only
# View previous results
ls ~/.metrillm/results/
# Share to public leaderboard
metrillm bench --model <name> --share| Verdict | Score | Meaning |
|---|---|---|
| EXCELLENT | >= 80 | Fast and accurate — great fit for this hardware |
| GOOD | >= 60 | Solid performance — suitable for most tasks |
| MARGINAL | >= 40 | Usable but with tradeoffs (slow or low quality) |
| NOT RECOMMENDED | < 40 | Too slow or too inaccurate for practical use |
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.