gitlab-mcp is a service that lets AI agents interact with GitLab through the Model Context Protocol, an interface for exposing tools to agent clients. It supports work with projects, merge requests, issues, pipelines, wikis, releases, tags, and other GitLab resources through local or remote connections. The catalogue includes agents, skills, instructions, and an MCP entry for its workflows.
Borrowing it
Nothing to install: this file belongs to zereight/gitlab-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zereight/gitlab-mcp/main/.github/skills/tdd/SKILL.mdgit clone --depth 1 https://github.com/zereight/gitlab-mcpWrote 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.
[](https://agentmods.dev/skills/zereight/gitlab-mcp/tdd)<a href="https://agentmods.dev/skills/zereight/gitlab-mcp/tdd"><img src="https://agentmods.dev/badge/skills/zereight/gitlab-mcp/tdd/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.
<a href="https://agentmods.dev/skills/zereight/gitlab-mcp/tdd"><img src="https://agentmods.dev/badge/skills/zereight/gitlab-mcp/tdd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 83 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 84 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00038 | $0.00915 |
| Opus 5.5 | $0.00015 | $0.00366 |
| Sonnet 5.5 | $0.00008 | $0.00183 |
| Haiku 4.5 | $0.00004 | $0.00092 |
Grade A, and why
tdd 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TDD — Test-Driven Development
THE IRON LAW: Write the failing test FIRST. Always.
The Red-Green-Refactor Cycle
RED → Write a failing test for the NEXT behavior
GREEN → Write ONLY enough code to make it pass (no extras)
REFACTOR → Clean up code quality (tests must stay green after every change)
REPEAT
Step-by-Step Protocol
1. RED Phase
- Identify the smallest next behavior to implement
- Write a test that describes that behavior as a named
it()/test()/def test_ - Run the test — it MUST FAIL. If it passes, the test is wrong.
- Confirm the failure message is the RIGHT failure (not a syntax error)
// Example: RED — test fails because function doesn't exist yet
it('returns an empty array for an empty input', () => {
const result = parseItems([]);
expect(result).toEqual([]); // FAILS: parseItems is not defined
});
2. GREEN Phase
- Write the MINIMUM code to make the test pass
- Do not add extra logic, default parameters, or "nice-to-haves"
- Run ALL tests — the new test must pass; existing tests must not break
// Example: GREEN — just enough to pass
function parseItems(input: string[]): string[] {
return []; // only enough for the current test
}
3. REFACTOR Phase
- Look at the code — can it be cleaner without changing behavior?
- Apply simplification patterns (see
/ai-slop-cleanerand/coding-standards) - Run tests after EVERY change. If tests break, undo immediately.
TDD Gate — When to Stop
| Situation | Action |
|---|---|
| Code written before test | STOP. Delete production code. Write test first. |
| Test passes on first run (no prior code) | The test is wrong — fix it to fail first. |
| Multiple behaviors in one test | STOP. One test, one behavior. |
| Skipping refactor to go faster | Go back. Clean up before next feature. |
Naming Tests as Specifications
Tests are executable documentation. Name them as complete sentences:
// BAD
it('test1', ...)
it('works with empty', ...)
// GOOD
it('returns empty array when input is empty', ...)
it('throws ValidationError when email is missing @', ...)
it('sends exactly one email when user registers', ...)
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.
- 2mo ago First seen · 104 lines · 38 tokens per session scan A 74d5bd64f8c3
tdd is a skill published in the GitHub repository zereight/gitlab-mcp (2,074 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 915 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
test-driven-development
Drives development with tests using the red-green-refactor loop. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality. Use when asked to add tests to a function, fix a bug…
workflow-patterns
Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.
writing-skills
A guide for creating and testing reusable instructions for AI agents, called skills. It applies test-driven development, or TDD—the practice of writing tests before implementation—to instruction documents.
test-driven-development
Test-driven development, or TDD, is a way to build software by writing a test that fails, adding the smallest code that makes it pass, and then cleaning up the code. These instructions require that process for features, bug fixes, refactors, and behavior changes.
kiro-impl
Implement approved tasks using TDD with subagent dispatch. Runs all pending tasks autonomously or selected tasks manually.
shared/tdd
A test-driven development guide, where tests are written before the production code and drive the implementation.