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Test Driven Development

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GanyuanRan
test-driven-development

Use when the user explicitly requests strict or test-first TDD, or when the current conversation already contains an explicit `TDD Route: strict` decision from another Aegis workflow.

Overview

PublisherGanyuanRan
RepositoryAegis
Skill nametest-driven-development
Stars
1.2K
Forks
52
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by GanyuanRan on GitHub. Read the source before you install it.

Installation

Install the Test Driven Development AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/GanyuanRan/Aegis.git /tmp/Aegis
mkdir -p .claude/skills
cp -r /tmp/Aegis/skills/test-driven-development .claude/skills/test-driven-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Test Driven Development in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Test Driven Development on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Test Driven Development is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Execute

→ False-positive entry on a native-direct-skill host? → Exit immediately unless the user explicitly asked for TDD or the conversation already contains TDD Route: strict. In off mode, do not start RED / GREEN / REFACTOR from generic bugfix, contract, shared-module, or risky-code wording alone. Hand control back to using-aegis, systematic-debugging, writing-plans, or the fast path with verification. → Implementing a feature or bugfix under TDD Route strict? → No production code without a failing test first. Gate: medium/high complexity? → route to brainstorming or writing-plans first. Mode: default off disables automatic TDD, not completion verification; auto chooses strict/light/skipped by risk. Change Necessity: before strict RED/GREEN enters production edits, confirm the slice really needs a code change. Cycle: RED (write test → watch it fail) → GREEN (minimal code → watch it pass) → REFACTOR (clean up → keep green) Regression: shared module → related tests. contract change → producer + consumer. core logic → old + new tests. Ripple signal hit → cover producer+consumer or real user path before claiming green. GREEN proves the currently expressed behavior slice only. GREEN does not by itself prove parent-task acceptance, business-value completion, or final completion. → Done when: chosen TDD Route is recorded, strict-route tests pass, TDD preflight gate passed when applicable, pre-edit complexity risk was checked for non-trivial source edits, and verification-before-completion has fresh evidence.

Test-Driven Development (TDD)

Overview

Under TDD Route: strict, write the test first. Watch it fail. Write minimal code to pass.

If you didn't watch the test fail, you don't know if it tests the right thing.

TDD Mode has two values: off and auto. The default off mode disables automatic TDD routing but never disables verification-before-completion. auto lets Aegis choose a TDD Route by task risk.

On native-direct-skill hosts, automatic entry must stay anchored to literal conversation markers such as TDD Route: strict, strict TDD, test-first, or RED / GREEN / REFACTOR, not generic risky-implementation wording.

When to Use

Only enter this skill after one of these explicit entry signals exists:

  • the user explicitly asks for strict TDD, test-first development, or RED / GREEN / REFACTOR
  • the current conversation already contains TDD Route: strict from another Aegis workflow

Typical strict-route shapes once entry is already justified: new features, bug fixes, refactoring, behavior or logic changes, interface/data contract changes, cross-module or shared-module changes, and core logic refactors.

Exceptions (ask your human partner): throwaway prototypes, generated code, config files, pure docs cleanup, read-only diagnosis, comment-only changes.

TDD Mode and Route

Before source edits, decide:

text
Aegis Visibility:
- Why this TDD route is strict, light, or skipped:
- What RED/GREEN proves:
- What still needs verification:

TDD Route:
- Mode: auto | off
- Decision: strict | light | skipped
- Strict authority: explicit user/project request | recorded auto decision | not applicable
- Test posture: diagnostic reproduction | post-change regression | strict RED test
- Reason:
- Verification:

In auto, use strict for behavior, bugfix, contract, shared/core, producer / consumer, persistence, permission, migration, or meaningful regression risk. Use light for tiny low-risk edits with an obvious readback or command check. Use skipped for read-only, docs-only, generated, throwaway, comment-only, or environment-bound work where TDD does not fit.

In off, do not automatically require TDD, create a strict route, or infer one from risk alone. Explicit user/project TDD requests still apply; risky work may still need regression coverage and verification-before-completion before any completion claim. For plan or execution review, Mode: off / Decision: skipped is the normal record unless an explicit user/project strict request overrides it. That record does not load this skill or turn a diagnostic reproduction into RED. An approved plan does not supply strict authority by itself. If this skill was loaded anyway without an explicit TDD request or a visible TDD Route: strict marker, exit instead of improvising an automatic strict route from risk words alone.

Keep Aegis Visibility task-specific: explain the route decision and the regression boundary, not a generic claim that TDD was used.

Preflight Gate

TDD is the implementation discipline for an approved behavior or atomic task. It is not a substitute for task routing, product clarification, or planning.

Before writing tests or production code, stop and route to brainstorming or writing-plans if the current request has any medium- or high-complexity signal:

  • multiple files, modules, pages, screens, services, or owners
  • user-visible flows such as navigation, onboarding, checkout, lifecycle, or recovery paths
  • state transitions, routing rules, API or data contracts, compatibility boundaries, migrations, permissions, or persistence
  • more than one acceptance path or manual/visual verification requirement
  • unclear product behavior, competing constraints, or long-running execution

For these tasks, require a baseline read-set, plan, and atomic tasks before TDD. High-complexity or ambiguous tasks also need a spec/design review before planning. Only proceed directly with TDD for low-complexity work whose intent, owner, compatibility boundary, verification path, and slice goal / success evidence are already clear.

Change Necessity

Before strict RED/GREEN enters production code edits, make the code-change decision visible. Any new source-code path needs this check before RED/GREEN normalizes it as work to implement. This is the "should code change at all?" check; it is not a new artifact and does not belong in the using-aegis hot path.

This is behavior-triggered, not prompt-triggered. If strict TDD is about to add any new source-code path or enter production source edits, expose a natural readback even when the user did not ask for it. A tiny helper, small guard, new branch, fallback, adapter, or owner is not exempt. Example: "Code necessity check: a non-code path is insufficient because ; the minimum change boundary is <owner/files>, so the decision is code-change."

text
Change Necessity:
- User-visible need:
- No-change / non-code option:
- Why code change is necessary:
- Minimum change boundary:
- Decision: no-change | docs/config-only | code-change | needs-clarification

If the decision is no-change, do not write tests or production code for a non-change. If the decision is docs/config-only, route to that narrower surface and verify it. If the decision is needs-clarification, pause before RED/GREEN. If the decision is code-change, carry the minimum boundary into TDD Route, RED, and regression scope.

Complexity Budget

Before strict TDD on non-trivial work, record the planned complexity budget so RED/GREEN does not silently normalize a wrong or overloaded owner.

text
Complexity Budget:
- Artifact class:
- Current pressure:
- Projected post-change pressure:
- Planned governance:

Use using-aegis/references/complexity-governance.md for shared artifact classes, pressure signals, and the meaning of planned governance.

Pre-Edit Complexity Check

Before production code edits, check whether the intended source edit would add logic to an overloaded or wrong owner. Tiny edits can keep this to one line.

Use using-aegis/references/complexity-governance.md for shared pressure signals and the meaning of over-budget.

text
Pre-Edit Complexity Check:
- Target edit file:
- Existing pressure signal:
- Owner fit:
- Safer edit boundary:
- Decision: edit-in-place | extract helper | add owner file | split task | pause for plan update

Pre-Edit Owner-Fit Decision:
- Edit intent: wiring-only | move-out / extract-first | local-fix-without-new-responsibility | new-responsibility | emergency / compatibility patch
- Owner fit:
- Safer edit boundary:
- Decision: edit-in-place | extract helper | add owner file | split task | pause for plan update

If the decision is pause for plan update, stop TDD and return to writing-plans or brainstorming with the evidence.

If the predicted result is that this slice would push a maintained artifact over budget and the slice does not also govern that overrun, do not continue with RED/GREEN as if the task were safely scoped. Pause and update the plan.

When the target edit file is over-budget or mixed-purpose, classify edit intent before production source edits. new-responsibility must not be added in place by default. wiring-only, move-out / extract-first, and local-fix-without-new-responsibility may proceed only when they do not add a new responsibility and the verification boundary is clear. emergency / compatibility patch requires residual risk and a retirement trigger.

When a medium- or high-complexity task needs project records, use configured Aegis workspace support lazily. Prefer the installed Aegis workspace helper (python <aegis-workspace-helper> init --root <target-project-root>) when it is available. If the task needs a process trail under work/, prefer python <aegis-workspace-helper> new-work --root <target-project-root> ... so the intent, checkpoint, drift, and evidence paths are indexed and structurally checkable:

text
docs/aegis/
  README.md
  INDEX.md
  BASELINE-GOVERNANCE.md
  adr/
  baseline/
  specs/
  plans/
  work/YYYY-MM-DD-<task-slug>/
    10-intent.md
    20-checkpoint.md
    90-evidence.md
    99-reflection.md

Do not promote reusable project facts, decisions, specs, or plans into those directories unless the workflow needs them and no existing project authority already owns them.

Red-Green-Refactor

RED - Write Failing Test

State: input | output | boundary | acceptance criteria. Check existing test coverage first. Write one minimal test showing what should happen. A minimal test anchors the next behavior slice; it does not by itself define whole-task completeness unless the parent acceptance is already fully pinned.

const result = await retryOperation(operation);

expect(result).toBe('success'); expect(attempts).toBe(3); });

Clear name, tests real behavior, one thing
</Good>

<Bad>
```typescript
test('retry works', async () => {
  const mock = jest.fn()
    .mockRejectedValueOnce(new Error())
    .mockRejectedValueOnce(new Error())
    .mockResolvedValueOnce('success');
  await retryOperation(mock);
  expect(mock).toHaveBeenCalledTimes(3);
});

Vague name, tests mock not code

Requirements:

  • One behavior
  • Clear name
  • Real code (no mocks unless unavoidable)
  • If a new feature changes user-observable behavior, prefer one minimal end-to-end or integration test for the main path before narrower unit tests
  • For user-visible work, cover the main journey and the highest-risk experience or operational floor before treating unit tests as sufficient
  • Add unit tests for core rules, boundary conditions, and error branches

Verify RED - Watch It Fail

MANDATORY. Never skip.

bash
npm test path/to/test.test.ts

Confirm:

  • Test fails (not errors)
  • Failure message is expected
  • Fails because feature missing (not typos)

Test passes? You're testing existing behavior. Fix test.

Test errors? Fix error, re-run until it fails correctly.

GREEN - Minimal Code

Write simplest code to pass the test.

Don't add features, refactor other code, or "improve" beyond the test.

Fix the real owner of the behavior. Do not add a new fallback, adapter, or branch unless the debugging or design workflow identifies why it is necessary and what old path retires.

Verify GREEN - Watch It Pass

MANDATORY.

bash
npm test path/to/test.test.ts

Confirm:

  • Test passes
  • Other tests still pass
  • Output pristine (no errors, warnings)

Test fails? Fix code, not test.

Other tests fail? Fix now.

REFACTOR - Clean Up

After green only:

  • Remove duplication
  • Improve names
  • Extract helpers

Keep tests green. Don't add behavior.

Repeat

Next failing test for next feature.

Regression Scope

At minimum, run the target test you just changed or added. Broaden regression based on impact:

  • Shared module change -> related module tests
  • Interface or data contract change -> producer and consumer tests
  • Cross-module behavior change -> integration or end-to-end path
  • Core logic refactor -> old behavior regression tests plus new behavior tests
  • Ripple Signal Triage fired -> producer+consumer or real user path that proves the downstream effect remains bounded

If the current environment cannot run automated tests, state the blocker and provide reproducible manual verification steps.

Good Tests

QualityGoodBad
MinimalOne thing. "and" in name? Split it.test('validates email and domain and whitespace')
ClearName describes behaviortest('test1')
Shows intentDemonstrates desired APIObscures what code should do

Strict-Route Red Flags - STOP and Start Over

These red flags apply only after this skill has validly entered under TDD Route: strict. Do not project them onto debugging or regression work whose route is light or skipped.

  • Code before test
  • Test after implementation
  • Test passes immediately
  • Can't explain why test failed
  • Tests added "later"
  • Rationalizing "just this once"
  • "I already manually tested it"
  • "Tests after achieve the same purpose"
  • "It's about spirit not ritual"
  • "Keep as reference" or "adapt existing code"
  • "Already spent X hours, deleting is wasteful"
  • "TDD is dogmatic, I'm being pragmatic"
  • "This is different because..."

All of these mean: Delete code. Start over with TDD.

Example: Bug Fix

Bug: Empty email accepted

RED

typescript
test('rejects empty email', async () => {
  const result = await submitForm({ email: '' });
  expect(result.error).toBe('Email required');
});

Verify RED

bash
$ npm test
FAIL: expected 'Email required', got undefined

GREEN

typescript
function submitForm(data: FormData) {
  if (!data.email?.trim()) {
    return { error: 'Email required' };
  }
  // ...
}

Verify GREEN

bash
$ npm test
PASS

REFACTOR Extract validation for multiple fields if needed.

Strict-Route Verification Checklist

  • Defined input, output, boundaries, compatibility, acceptance criteria
  • Every new function/method has a test that failed first
  • All tests pass, output pristine
  • Regression: shared/contract/core changes ran related tests
  • Ripple signal hit: downstream or real user path covered
  • If automation blocked → blocker + manual steps documented
  • GREEN treated as local behavior proof only, not final completion
  • If TaskIntentDraft, parent plan/spec, or Slice Card exists, covered and uncovered scope are explicit before any done claim

Can't check all boxes? Start over.

Exploration and Emergency Exceptions

Exploratory spikes are allowed only as throwaway learning. When the spike ends, convert confirmed behavior into tests before formal implementation.

Emergency hotfixes may prioritize the smallest safe repair when delay is more dangerous than incomplete TDD. Record the reason, keep the change narrow, and add the missing regression test in the same slice or the next nearest slice.

When Stuck

Don't know how to test → write wished-for API first. Test too complicated → simplify design. Must mock everything → reduce coupling.

Debugging Integration

Bug found? Start with systematic-debugging: reproduce, trace the owner, and choose the smallest proof that supports the diagnosis. Under recorded TDD Route: strict, the reproduction becomes the required failing test before production edits. With TDD Mode: off and no strict route, use diagnostic reproduction and targeted post-change regression as fit the repair; do not start RED / GREEN by inference.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Test Driven Development AI skill do?

Use when the user explicitly requests strict or test-first TDD, or when the current conversation already contains an explicit `TDD Route: strict` decision from another Aegis workflow.

Why use Test Driven Development on TypingMind?

Because you install it once and use it with any model. Test Driven Development is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Test Driven Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/GanyuanRan/Aegis/tree/main/skills/test-driven-development. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Test Driven Development?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Test Driven Development?

As many as you like. As long as a model supports skills, you can use Test Driven Development with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Test Driven Development AI skill free?

Yes. It is published on GitHub by GanyuanRan under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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