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.
git clone --depth 1 https://github.com/boparaiamrit/skills-by-amritWrote 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/commands/boparaiamrit/skills-by-amrit/test)<a href="https://agentmods.dev/commands/boparaiamrit/skills-by-amrit/test"><img src="https://agentmods.dev/badge/commands/boparaiamrit/skills-by-amrit/test/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/commands/boparaiamrit/skills-by-amrit/test"><img src="https://agentmods.dev/badge/commands/boparaiamrit/skills-by-amrit/test.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 | $0.00009 | $0.00431 |
| Opus 5 | $0.00005 | $0.00216 |
| Sonnet 5 | $0.00002 | $0.00086 |
| Haiku 4.5 | $0.00001 | $0.00043 |
Grade A, and why
test 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 10d 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.
What it actually says
/test — Test Generation
Generate comprehensive tests for the specified code.
Instructions
-
Analyze the target from
$ARGUMENTS:- Read the file or function to understand its behavior
- Identify all code paths (happy path, error cases, edge cases)
- Check for existing tests — extend rather than duplicate
-
Determine test framework:
- Look at existing test files to identify the framework in use
- Use the same framework, patterns, and conventions
- Match the existing file naming convention (
.test.ts,_test.py, etc.)
-
Write tests covering:
- ✅ Happy path — normal expected behavior
- ❌ Error cases — invalid input, missing data, network failures
- 🔲 Edge cases — empty arrays, null values, boundary numbers
- 🔄 State transitions — before/after, concurrent access
- 📊 Data variations — different types, large datasets, unicode
-
Test structure:
describe('[Module/Function Name]', () => { describe('happy path', () => { it('should [expected behavior]', () => { ... }); }); describe('error handling', () => { it('should [handle specific error]', () => { ... }); }); describe('edge cases', () => { it('should [handle edge case]', () => { ... }); }); }); -
Quality rules:
- Each test should test ONE thing
- Use descriptive test names that explain the scenario
- Don't mock what you don't own (use fakes/stubs for external deps)
- Tests should be deterministic — no random data, no time-dependent logic
- Assert behavior, not implementation details
-
Run the tests after writing them to verify they pass.
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.
- 10d ago First seen · 56 lines · 9 tokens per session scan A 337d18d328a1
test is a command published in the GitHub repository boparaiamrit/skills-by-amrit (5 stars, last pushed 5mo ago), licensed MIT. It adds 9 tokens to every session and 431 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
test-tdd
Run when user calls /test-tdd. Scans modified files, locates their corresponding unit/integration test suites, and runs them.
kill-mutants
Analyze surviving mutants from a mutation testing run and write targeted unit tests to kill them. Re-runs mutations to confirm kills.
lg:node
Create, modify, and manage nodes in LangGraph graphs including LLM nodes, tool nodes, human-in-the-loop, subgraphs, and conditional nodes.
test
Execute a comprehensive test run for the following target.
frappe-test
Run unit and integration tests for Frappe apps with coverage reports.
implement-fix
Minimal pipeline for test-fixing tasks.