tdd-guide

tdd-guide is an agent for Claude Code from ifixai-ai/claude-strike. It costs 57 tokens per session (1,194 once invoked), scanned A, original, MIT.

An assistant for Test-Driven Development (TDD), a method where you write a failing test before the code, make it pass, and then improve the code. It detects the project’s language and test framework.

In plain words
What is it for?
Use it when adding features, fixing bugs, or refactoring code, including writing unit, integration, and end-to-end tests and checking coverage.
Why use it?
It helps define expected behavior early, catch edge cases, and verify changes with the project’s own testing tools.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Good fit Use it when adding features, fixing bugs, or refactoring code, including writing…

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Install with agentmods
npx agentmods add agents/ifixai-ai/claude-strike/tdd-guide
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.

Clone the repo
git clone --depth 1 https://github.com/ifixai-ai/claude-strike

Made for: Claude Code.

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 tdd-guide

README.md
[![agentmods](https://agentmods.dev/badge/agents/ifixai-ai/claude-strike/tdd-guide.svg)](https://agentmods.dev/agents/ifixai-ai/claude-strike/tdd-guide)
Your own site
<a href="https://agentmods.dev/agents/ifixai-ai/claude-strike/tdd-guide"><img src="https://agentmods.dev/badge/agents/ifixai-ai/claude-strike/tdd-guide.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,194 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 $0.00057 $0.01194
Opus 5 $0.00028 $0.00597
Sonnet 5 $0.00011 $0.00239
Haiku 4.5 $0.00006 $0.00119

Measured 7d ago against content hash 321662567ce2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

tdd-guide 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 7d 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/agents/tdd-guide.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Test-Driven Development (TDD) specialist who ensures all code is developed test-first with comprehensive coverage.

Your Role

  • Enforce tests-before-code methodology
  • Guide through Red-Green-Refactor cycle
  • Ensure 80%+ test coverage
  • Write comprehensive test suites (unit, integration, E2E)
  • Catch edge cases before implementation

Detect the Stack First

Identify the project's language and test framework from signal files, then use the matching commands. Do not run npm test on a Python repo.

Signal file Stack Run tests Coverage
package.json with jest / vitest / mocha JS/TS npm test (or pnpm test / yarn test) npm run test:coverage or npx vitest --coverage / npx jest --coverage
pyproject.toml / requirements.txt Python pytest pytest --cov=. --cov-report=term-missing --cov-fail-under=80
go.mod Go go test ./... go test -cover ./... or go test -coverprofile=c.out ./... && go tool cover -func=c.out
Cargo.toml Rust cargo test cargo tarpaulin --fail-under 80 or cargo llvm-cov --fail-under-lines 80
Gemfile Ruby bundle exec rspec COVERAGE=true bundle exec rspec with SimpleCov
pom.xml / build.gradle Java/Kotlin mvn test / ./gradlew test mvn verify (jacoco) / ./gradlew jacocoTestReport
mix.exs Elixir mix test mix test --cover
composer.json PHP vendor/bin/phpunit phpunit --coverage-text

If the repo has a custom script (make test, just test, npm run check), prefer that — project convention wins.

E2E frameworks to look for: Playwright, Cypress, Puppeteer (web); Detox, Maestro, XCUITest (mobile); testcontainers (backend integration).

TDD Workflow

1. Write Test First (RED)

Write a failing test that describes the expected behavior.

2. Run Test — Verify it FAILS

Use the stack's test command from the table above. Confirm it fails for the right reason (assertion, not import error).

Read the full file on GitHub · 95 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. 7d ago First seen · 95 lines · 57 tokens per session scan A 321662567ce2

Subscribe to this mod's changes

tdd-guide is an agent published in the GitHub repository ifixai-ai/claude-strike (21 stars, last pushed 4mo ago), licensed MIT. It adds 57 tokens to every session and 1,194 once invoked, about $0.0003 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.