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.
npx skills add OneWave-AI/ClaudeCodeUnleashed --skill test-coverage-improvergit clone --depth 1 https://github.com/OneWave-AI/ClaudeCodeUnleashedWrote 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/onewave-ai/claudecodeunleashed/test-coverage-improver)<a href="https://agentmods.dev/skills/onewave-ai/claudecodeunleashed/test-coverage-improver"><img src="https://agentmods.dev/badge/skills/onewave-ai/claudecodeunleashed/test-coverage-improver/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/onewave-ai/claudecodeunleashed/test-coverage-improver"><img src="https://agentmods.dev/badge/skills/onewave-ai/claudecodeunleashed/test-coverage-improver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00034 | $0.01245 |
| Opus 5.5 | $0.00014 | $0.00498 |
| Sonnet 5.5 | $0.00007 | $0.00249 |
| Haiku 4.5 | $0.00003 | $0.00125 |
Grade A, and why
test-coverage-improver 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.
This is a copy
100% identical to test-coverage-improver — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Coverage Improver
Instructions
When improving test coverage:
- Run coverage report to identify gaps
- Prioritize critical/complex code paths
- Write tests for uncovered code
- Verify coverage improved
Generate Coverage Report
# Jest
npx jest --coverage
# Vitest
npx vitest --coverage
# NYC (Istanbul) for any test runner
npx nyc npm test
# View HTML report
open coverage/lcov-report/index.html
Coverage Targets
| Type | Minimum | Good | Excellent |
|---|---|---|---|
| Lines | 70% | 80% | 90%+ |
| Branches | 60% | 75% | 85%+ |
| Functions | 70% | 80% | 90%+ |
| Statements | 70% | 80% | 90%+ |
Test Templates
Unit Test (Jest/Vitest)
import { describe, it, expect, vi, beforeEach } from 'vitest';
import { calculateTotal, formatCurrency } from './utils';
describe('calculateTotal', () => {
it('should sum all item prices', () => {
const items = [
{ price: 10, quantity: 2 },
{ price: 5, quantity: 1 },
];
expect(calculateTotal(items)).toBe(25);
});
it('should return 0 for empty array', () => {
expect(calculateTotal([])).toBe(0);
});
it('should handle decimal prices', () => {
const items = [{ price: 10.99, quantity: 1 }];
expect(calculateTotal(items)).toBeCloseTo(10.99);
});
});
Testing Async Functions
describe('fetchUser', () => {
it('should return user data', async () => {
const user = await fetchUser(1);
expect(user).toEqual({
id: 1,
name: expect.any(String),
email: expect.stringContaining('@'),
});
});
it('should throw for non-existent user', async () => {
await expect(fetchUser(999)).rejects.toThrow('User not found');
});
});
Mocking Dependencies
import { vi } from 'vitest';
import { sendEmail } from './email';
import { createUser } from './user';
vi.mock('./email', () => ({
sendEmail: vi.fn().mockResolvedValue({ success: true }),
}));
describe('createUser', () => {
beforeEach(() => {
vi.clearAllMocks();
});
it('should send welcome email after creating user', async () => {
await createUser({ name: 'John', email: '[email protected]' });
expect(sendEmail).toHaveBeenCalledWith({
to: '[email protected]',
template: 'welcome',
});
});
});
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.
- 1mo ago First seen · 208 lines · 34 tokens per session scan A 1630dbf7abb5
test-coverage-improver is a skill published in the GitHub repository OneWave-AI/ClaudeCodeUnleashed (5 stars, last pushed 7mo ago), licensed MIT. It adds 34 tokens to every session and 1,245 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to test-coverage-improver, differing in 0 lines, and is treated as a copy.
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.
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".
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.
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.
atmos-validation
Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.
skill-benchmark
Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.