bench

A command that creates and runs Go benchmarks, which measure how quickly code runs and how much memory it uses, then examines CPU and memory profiles.

In plain words
What is it for?
Use it to generate table-based benchmarks, run them several times with memory measurements, compare results with an available baseline tool, and identify optimization opportunities.
Why use it?
It gives you repeatable measurements for a function, file, or package so you can assess performance changes instead of relying on guesses.

Command

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/gopherguides/gopher-ai/bench
Clone the repo
git clone --depth 1 https://github.com/gopherguides/gopher-ai
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,596 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00010 $0.01596
Opus 5 $0.00005 $0.00798
Sonnet 5 $0.00002 $0.00319
Haiku 4.5 $0.00001 $0.00160

Measured 2d ago against content hash c0da81fb29b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

bench scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/go-dev/commands/bench.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

If $ARGUMENTS is empty or not provided:

Usage: /bench <target>

  • /bench pkg/auth/login.go — benchmark all exported functions in a file
  • /bench ProcessOrder — benchmark a specific function
  • /bench pkg/utils/ — benchmark all functions in a package

Workflow: detect tooling/existing benchmarks → analyze target → generate table-driven benchmarks → run with -benchmem -count=6 → compare against baseline (if benchstat) → profile CPU + memory → summarize + suggest optimizations.

Ask: "What file, function, or package would you like me to benchmark?"


If $ARGUMENTS is provided:

Generate and run Go benchmarks for the specified code with statistical rigor.

Loop Initialization

!if [ ! -x "${CLAUDE_PLUGIN_ROOT}/scripts/setup-loop.sh" ]; then echo "ERROR: Plugin cache stale. Run /gopher-ai-refresh (or refresh-plugins.sh) and restart Claude Code."; exit 1; else "${CLAUDE_PLUGIN_ROOT}/scripts/setup-loop.sh" "bench" "COMPLETE"; fi

Configuration

  • Target: $ARGUMENTS (file, function, or package)

Steps

1. Detect Benchmark Environment

which benchstat 2>/dev/null && echo "benchstat: available" || echo "benchstat: not found"
grep -rl 'func Bench' --include='*_test.go' ./path/to/package/
ls .bench-baseline*.txt 2>/dev/null

Also detect: existing _test.go patterns, testify vs stdlib, existing .pprof files.

If existing benchmarks for the target, ask via AskUserQuestion:

Option Action
Run existing Run only, skip generation
Augment Add new cases alongside existing
Generate fresh Create new benchmarks in a separate file

2. Analyze Target

Read the target and extract: function signatures, input types/sizes (for realistic data), dependencies/interfaces (for setup), I/O operations (special handling), allocation-heavy patterns (string concat, slice append, map ops), concurrency patterns (channels, mutexes).

For each function: classify CPU- vs memory- vs I/O-bound; identify variable-size sub-benchmarks; need for b.ResetTimer(); exported vs unexported (affects test package choice).

Read the full file on GitHub · 178 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 178 lines · 10 tokens per session scan A c0da81fb29b9

Subscribe to this mod's changes

bench is a command published in the GitHub repository gopherguides/gopher-ai (21 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 1,596 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.