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bench-setup

Benchmark this harness's live configuration (skills, MCP servers, settings included) and get a scored report with improvement suggestions

Quellinformationen

Repository
luongnv89/m-bench
Letzte Quellaktivität
22. September 2026 um 23:36
Erkannte Sprache von SKILL.md
Englisch
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0
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1

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Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
bench-setup
description
Benchmark this harness's live configuration (skills, MCP servers, settings included) and get a scored report with improvement suggestions
# Benchmark the live setup Run the repo's benchmark against *this* harness exactly as it is configured right now — extensions, skills and MCP servers included, nothing isolated. From the repository root (`/home/montimage/buildspace/m-bench`), run: ```bash ./bench setup --harness pi --suite agentic-hard ``` - Add `-m <provider/model>` only if you want a specific model; otherwise the run asks (or use BENCH_HARNESS_MODEL). - The default is 3 samples per task; add `--samples 5` for a tighter confidence interval; add `--thinking` to test the reasoning mode. - The run takes several minutes per sample and executes model-generated code on this host. When it finishes: 1. Read the report path it prints (`results/<date>/REPORT-live*.md`) and open it. 2. Relay the headline numbers (solve rate with its 95% interval, efficiency, token and time cost per task, mean calls vs par — the agent score is a composite shown for reference, not what ranks) and every bullet in the **Suggestions** section back to the user, verbatim where possible. Note the caveat from the report: live mode keeps your real setup enabled, so if any extension or MCP server can call another model, those numbers are contaminated by that model.
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