testprof

testprof is a skill for Claude Code from el-feo/ai-context. It costs 113 tokens per session (1,966 once invoked), scanned A, original, MIT.

A profiler and guide for finding why RSpec test suites are slow. RSpec is a Ruby testing framework.

In plain words
What is it for?
Use it to diagnose slow test suites, profile individual specs, find expensive setup, and choose practical speed improvements.
Why use it?
It replaces guesswork with measurements of which tests, setup steps, or patterns are consuming time.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ruby-rails plugin — 13 skills, 3 commands shipped together

Good fit Use it to diagnose slow test suites, profile individual specs, find expensive setup, and choose practical speed improvements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/el-feo/ai-context/testprof
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.

Any agent
npx skills add el-feo/ai-context --skill testprof
Clone the repo
git clone --depth 1 https://github.com/el-feo/ai-context

Made for: Claude Code.

Or install ruby-rails, the plugin that ships this one along with the rest of its 13 skills, 3 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for testprof

README.md
[![agentmods](https://agentmods.dev/badge/skills/el-feo/ai-context/testprof/github.svg)](https://agentmods.dev/skills/el-feo/ai-context/testprof)
Your own site
<a href="https://agentmods.dev/skills/el-feo/ai-context/testprof"><img src="https://agentmods.dev/badge/skills/el-feo/ai-context/testprof/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for testprof

Your own site · 80×15
<a href="https://agentmods.dev/skills/el-feo/ai-context/testprof"><img src="https://agentmods.dev/badge/skills/el-feo/ai-context/testprof.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,966 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00113 $0.01966
Opus 5.5 $0.00045 $0.00786
Sonnet 5.5 $0.00023 $0.00393
Haiku 4.5 $0.00011 $0.00197

Measured 1mo ago against content hash ef42909e28ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

testprof 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 1mo 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/ruby-rails/skills/testprof/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TestProf: RSpec Performance Optimization

Expert guidance for diagnosing and fixing slow RSpec test suites. Based on field-tested techniques from Evil Martians' work reducing a 30,000-spec Rails suite from 4m30s to 2m (and targeting 1m30s with parallelization).

The core idea: slow test suites are rarely slow for one reason. They're slow for a handful of fixable reasons, stacked. This skill walks you through diagnosing which reasons apply, then fixing each one — in an order that avoids wasted effort.

How to use this skill

When a user brings a slow RSpec suite, investigate their actual codebase before prescribing anything. A skill full of generic advice is worse than useless — the value is in mapping the general patterns onto their specific code. Follow this order:

  1. Characterize the problem — ask for total runtime, example count, and whether it's "slow everywhere" or "slow in specific files." This determines which profiler to run first.
  2. Investigate concretely, don't speculate. Before giving advice, actually:
    • Read spec/spec_helper.rb and spec/rails_helper.rb for suspicious requires (rubocop/rspec/support, SimpleCov config, global hooks).
    • Grep the Gemfile for the suspects: SimpleCov, blind_index, any encryption gem, retry gems (retriable, Faraday retry middleware).
    • For slow individual specs, read the service file being tested — grep for sleep, retry, ObjectSpace, create_list(:..., with large numbers.
    • Look at the factory definitions for the types involved. Association fan-out is a common cause. This is the difference between a suggestion list and a diagnosis. Always do the investigation first.
  3. Run the right diagnostic next — see "Diagnostic decision tree" below. If Claude can't run the profiler (no shell access to the user's env), write the exact commands the user should run and explain how to interpret the output.
  4. Apply fixes in order of payoff — coverage and GC issues often give the biggest single wins and require the least invasive changes, so check them before rewriting specs.
  5. Measure after each change — keep the before/after numbers so you can tell what worked.

Read the full file on GitHub · 120 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 120 lines · 113 tokens per session scan A ef42909e28ca

Subscribe to this mod's changes

testprof is a skill published in the GitHub repository el-feo/ai-context (12 stars, last pushed 2mo ago), licensed MIT. It adds 113 tokens to every session and 1,966 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-03.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

eval-dataset-design

A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.

bojieli/ai-agent-book · 138 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

cua-driver

Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.

davidondrej/skills · 68 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens