step

A workflow for handling software work in the smallest useful next step, while checking results with browser testing and evidence. TDD means writing a failing test before the code that makes it pass.

In plain words
What is it for?
Use it to refine requirements, research options, build features, and move between those activities as the task changes.
Why use it?
It keeps changing requirements and implementation work manageable and makes progress easier to verify.

Skill for Claude CodeCodex

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 skills/leandronsp/dotfiles/step
Any agent
npx skills add leandronsp/dotfiles --skill step
Clone the repo
git clone --depth 1 https://github.com/leandronsp/dotfiles

Made for: Claude Code, Codex.

Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,243 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00095 $0.01243
Opus 5 $0.00048 $0.00622
Sonnet 5 $0.00019 $0.00249
Haiku 4.5 $0.00010 $0.00124

Measured 3d ago against content hash 8dba05eff316, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

step 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 3d 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.

claude/.claude/skills/step/SKILL.md · 110 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 110 lines · 95 tokens per session scan A 8dba05eff316

Subscribe to this mod's changes

step is a skill published in the GitHub repository leandronsp/dotfiles (44 stars, last pushed 29d ago), with no licence file. It adds 95 tokens to every session and 1,243 once invoked, about $0.0005 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.

Related

Other skills, from other repositories

agent-integration

Run all three agent integration phases sequentially: research, write-tests, and implement using E2E-first TDD (unit tests written last). For individual phases, use /agent-integration:research, /agent-integration:write-tests, or /agent-integration:implement. Use when the user says "integrate agent", "add agent…

entireio/cli · 89 tokens

e2e

Write and run web E2E tests (Playwright) using TDD — locations, patterns, commands, and debugging.

kdlbs/kandev · 29 tokens

tdd-workflow (测试驱动开发工作流)

在编写新功能、修复 Bug 或重构代码时使用此技能。强制执行测试驱动开发 (TDD),包括单元测试、集成测试和端到端 (E2E) 测试,确保覆盖率达到 80% 以上。.

cfrs2005/claude-init · 72 tokens

writing-system-tests

Use BEFORE implementing any feature that has stories in .docs/stories/ — generates failing acceptance specs from acceptance criteria as the RED phase of TDD. Generates HTTP/request-level acceptance tests for headless/API projects, end-to-end UI tests for projects with a frontend, using the project's own test framework…

jstoup111/ai-conductor · 67 tokens

ccc-e2e

CC Commander · $ccc-e2e · Full-surface confidence before you ship.

KevinZai/commander · 47 tokens

mushi-integration

Full end-to-end Mushi Mushi integration smoke test: bug capture → AI triage → story mapping → TDD test generation → approval → execution → PDCA cycle. Use when "test mushi integration", "verify full pipeline", "mushi e2e check", "does mushi work end-to-end", "smoke test mushi", or after deploying changes.

kensaurus/mushi-mushi · 82 tokens