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Agent skill

Go Performance Testing

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Design, run, compare, and interpret Go performance evidence using benchmarks, B.Loop, benchstat, pprof, traces, escape analysis, cache locality, false sharing, sync.Pool, GC limits, container CPU…

MITAuto-check passedTesting & QA

Install Go Performance Testing

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill go-performance-testing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins go-performance-testing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/go-performance-testing .claude/skills/go-performance-testing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
go-performance-testing
GitHub stars
1.2k
Token cost
~732 tokens
SKILL.md length
259 words
Files
9 (incl. references)
Skills in repo
686
Repo updated
First seen
Licence
MIT

At a glance

Design, run, compare, and interpret Go performance evidence using benchmarks, B.Loop, benchstat, pprof, traces, escape analysis, cache locality, false sharing, sync.Pool, GC limits, container CPU…

  • Works in 8 steps: Define the user-visible metric and… → Stabilize correctness before measuring… → Write focused benchmarks with realistic… → …
  • Investigating Go latency
  • SKILL.md covers Core Workflow, Read Next, Guardrails and Source Notes
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Go Performance Testing is an agent skill from hashgraph-online/awesome-codex-plugins. Design, run, compare, and interpret Go performance evidence using benchmarks, B.Loop, benchstat, pprof, traces, escape analysis, cache locality, false sharing, sync.Pool, GC limits, container CPU behavior, and PGO. Use when investigating Go latency, throughput, CPU, memory, allocations, contention, runtime behavior, performance regressions, or optimization claims.

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `agents/openai.yaml`, `guidelines.md` and `references/performance-testing/examples.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Testing & QA, covering Load testing. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Investigating Go latency
  • Runtime behavior
  • Performance regressions
  • Optimization claims

Example prompts

  • “/go-performance-testing”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Define the user-visible metric and representative workload.
  2. Stabilize correctness before measuring performance.
  3. Write focused benchmarks with realistic inputs and controlled setup.
  4. Collect repeated baseline samples in comparable conditions.
  5. Use allocations, profiles, and traces to form a causal hypothesis.
  6. Make one bounded change.
  7. Compare repeated before/after samples statistically.
  8. Recheck correctness and the end-to-end workload.

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • go.dev
    • manning.com
    • pkg.go.dev

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Go Performance Testing loads about 732 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 259 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~732
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its MIT licence (© hashgraph-online). 259 words, ~732 tokens.

Download SKILL.mdSave it as .claude/skills/go-performance-testing/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
go-performance-testing
description
Design, run, compare, and interpret Go performance evidence using benchmarks, B.Loop, benchstat, pprof, traces, escape analysis, cache locality, false sharing, sync.Pool, GC limits, container CPU behavior, and PGO. Use when investigating Go latency, throughput, CPU, memory, allocations, contention, runtime behavior, performance regressions, or optimization claims.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.2.0
metadata.displayName
Go Performance Testing
metadata.category
Go
metadata.tags
go,golang,benchmarks,profiling,pprof,performance

Go Performance Testing

Optimize only after establishing a representative, repeatable measurement and a specific hypothesis.

Core Workflow

  1. Define the user-visible metric and representative workload.
  2. Stabilize correctness before measuring performance.
  3. Write focused benchmarks with realistic inputs and controlled setup.
  4. Collect repeated baseline samples in comparable conditions.
  5. Use allocations, profiles, and traces to form a causal hypothesis.
  6. Make one bounded change.
  7. Compare repeated before/after samples statistically.
  8. Recheck correctness and the end-to-end workload.
TaskLoad
Benchmark a function or packageguidelines.md, workflows/benchmark-code.md
Investigate a regressionworkflows/investigate-performance.md
Evaluate profile-guided optimizationworkflows/evaluate-pgo.md
Choose benchmark and profile controlsreferences/performance-testing/rules.md
Interpret metrics and profilesreferences/performance-testing/knowledge.md
Review benchmark patternsreferences/performance-testing/examples.md

Guardrails

  • Do not optimize from one benchmark line or an unrepresentative microbenchmark.
  • Do not compare runs made under materially different environments.
  • Do not treat coverage or race detection as performance evidence.
  • Name the profile sample type and distinguish flat from cumulative cost.
  • Prefer B.Loop only when the pinned Go version supports it.
  • Keep production profile endpoints protected and operationally controlled.
  • Do not encode cache-line size, escape output, or inliner budgets as portable facts.
  • Do not use sync.Pool as a cache or resource owner.

Source Notes

Guidance is transformed and paraphrased from Inanc Gumus, Go by Example: Programmer's Guide to Idiomatic and Testable Programs (Manning, 2025), especially Chapter 3. Examples are original.

Diagnostics, locality, allocation, GC, and container guidance also incorporates transformed material from Teiva Harsanyi, 100 Go Mistakes and How to Avoid Them (Manning, 2022), Chapter 12.

Book: https://www.manning.com/books/go-by-example

Verify current behavior against https://pkg.go.dev/testing, https://go.dev/doc/diagnostics, and https://go.dev/doc/pgo.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (references) in plugins/LVTD-LLC/skills/skills/go-performance-testing of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • guidelines.md
  • references/performance-testing/examples.md
  • references/performance-testing/knowledge.md
  • references/performance-testing/rules.md
  • workflows/benchmark-code.md
  • workflows/evaluate-pgo.md
  • workflows/investigate-performance.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Go Performance Testing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Go Performance Testing compared with similar skills
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Go Performance Testing this skillhashgraph-online/awesome-codex-plugins1.2k—~732Automated safety check: PassMIT
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Go Testingcxuu/golang-skills1701 repos~1.3kAutomated safety check: PassApache-2.0
Goalcraftgrp06/goalcraft102—~3.8kAutomated safety check: PassMIT
Thinking Partnermattnowdev/thinking-partner206—~4.4kAutomated safety check: PassMIT
Visionkunchenguid/vision329—~2.9kAutomated safety check: PassMIT

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Categories

Questions about Go Performance Testing

What does Go Performance Testing do?

Design, run, compare, and interpret Go performance evidence using benchmarks, B.Loop, benchstat, pprof, traces, escape analysis, cache locality, false sharing, sync.Pool, GC limits, container CPU…. Go Performance Testing is an agent skill from hashgraph-online/awesome-codex-plugins.Pool, GC limits, container CPU behavior, and PGO.

When should I use Go Performance Testing?

Go Performance Testing fits situations like: investigating Go latency; runtime behavior; performance regressions; optimization claims.

How do I install Go Performance Testing in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill go-performance-testing -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/go-performance-testing in hashgraph-online/awesome-codex-plugins) into .claude/skills/go-performance-testing in your project. Claude Code loads it when a task matches its description.

How do I install Go Performance Testing in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill go-performance-testing -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/go-performance-testing in hashgraph-online/awesome-codex-plugins) into .agents/skills/go-performance-testing in your project. Codex loads it when a task matches its description.

Can I use Go Performance Testing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill go-performance-testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/go-performance-testing, .gemini/skills/go-performance-testing, .github/skills/go-performance-testing and .opencode/skills/go-performance-testing in your project.

What does Go Performance Testing need to run?

SKILL.md names no scripts, command-line tools or credentials: Go Performance Testing is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Go Performance Testing access the network?

SKILL.md names 3 domains. As links in the text: go.dev, manning.com and pkg.go.dev. This is read from the text; nothing was executed.

Is Go Performance Testing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Go Performance Testing use?

Go Performance Testing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Go Performance Testing use?

About 732 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Go Performance Testing?

Skills that share tags, products or a category with Go Performance Testing: Writing Livekit Scenarios (livekit-examples/agent-starter-python, 264 stars), Go Testing (cxuu/golang-skills, 170 stars), Goalcraft (grp06/goalcraft, 102 stars) and Thinking Partner (mattnowdev/thinking-partner, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Go Performance Testing?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.