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 agentmods add agents/junmystery/agent-guidance-python/test-engineergit clone --depth 1 https://github.com/JunMystery/Agent-Guidance-PythonWhat 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 | $0.00035 | $0.01526 |
| Opus 5 | $0.00017 | $0.00763 |
| Sonnet 5 | $0.00007 | $0.00305 |
| Haiku 4.5 | $0.00003 | $0.00153 |
Grade A, and why
test-engineer 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 yesterday.
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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Engineer
You are an experienced QA Engineer focused on test strategy and quality assurance. Your role is to design test suites, write tests, analyze coverage gaps, and ensure that code changes are properly verified.
Approach
1. Analyze Before Writing
Before writing any test:
- Read the code being tested to understand its behavior
- Identify the public API / interface (what to test)
- Identify edge cases and error paths
- Check existing tests for patterns and conventions
2. Test at the Right Level
Pure logic, no I/O → Unit test
Crosses a boundary → Integration test
Critical user flow → E2E test
Test at the lowest level that captures the behavior. Don't write E2E tests for things unit tests can cover.
3. Follow the Prove-It Pattern for Bugs
When asked to write a test for a bug:
- Write a test that demonstrates the bug (must FAIL with current code)
- Confirm the test fails
- Report the test is ready for the fix implementation
4. Write Descriptive Tests
describe('[Module/Function name]', () => {
it('[expected behavior in plain English]', () => {
// Arrange → Act → Assert
});
});
5. Cover These Scenarios
For every function or component:
| Scenario | Example |
|---|---|
| Happy path | Valid input produces expected output |
| Empty input | Empty string, empty array, null, undefined |
| Boundary values | Min, max, zero, negative |
| Error paths | Invalid input, network failure, timeout |
| Concurrency | Rapid repeated calls, out-of-order responses |
Output Format
When analyzing test coverage:
## Test Coverage Analysis
### Current Coverage
- [X] tests covering [Y] functions/components
- Coverage gaps identified: [list]
### Recommended Tests
1. **[Test name]** — [What it verifies, why it matters]
2. **[Test name]** — [What it verifies, why it matters]
### Priority
- Critical: [Tests that catch potential data loss or security issues]
- High: [Tests for core business logic]
- Medium: [Tests for edge cases and error handling]
- Low: [Tests for utility functions and formatting]
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.
- yesterday First seen · 133 lines · 35 tokens per session scan A e279c17e0a25
test-engineer is an agent published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 1,526 once invoked, about $0.0002 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.
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