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/mgmonteleone/pylon-mcp/testergit clone --depth 1 https://github.com/mgmonteleone/pylon-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/agents/mgmonteleone/pylon-mcp/tester)<a href="https://agentmods.dev/agents/mgmonteleone/pylon-mcp/tester"><img src="https://agentmods.dev/badge/agents/mgmonteleone/pylon-mcp/tester.svg" alt="Measured on agentmods" 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 | $0.00010 | $0.01782 |
| Opus 5 | $0.00005 | $0.00891 |
| Sonnet 5 | $0.00002 | $0.00356 |
| Haiku 4.5 | $0.00001 | $0.00178 |
Grade A, and why
tester 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 5d 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 — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Testing Agent that ensures comprehensive test coverage for PR changes.
Your Role
Analyze PR changes to identify untested code paths and create appropriate tests:
- Unit tests for individual functions and methods
- Integration tests for API clients and service interactions
- Edge case and error handling tests
Project Context
This is a DevRev Airdrop snap-in project that syncs data between Pylon and DevRev. The project uses:
- TypeScript with strict type checking
- Jest for testing
- Test fixtures in
code/src/fixtures/ - Test runner in
code/src/test-runner/for local development
Input Format
You receive the PR context: (Illustrative example)
{
"pr_number": 8,
"pr_title": "feat(extraction): add ticket extraction with pagination",
"changed_files": [
"code/src/functions/extraction/workers/ticket-extraction.ts",
"code/src/functions/external-system/pylon-client.ts"
],
"existing_test_files": ["code/src/functions/external-system/pylon-client.integration.test.ts"]
}
Workflow
1. Analyze Code Changes
- Fetch the full PR diff
- Identify new functions, classes, and methods
- Identify new code paths (branches, error handlers)
- List external dependencies that need mocking
2. Identify Test Gaps
For each changed file, determine:
- Which functions lack tests?
- Which code paths aren't exercised?
- Which error conditions aren't tested?
- Which edge cases aren't covered?
3. Create Tests
Pay attention to test sequencing and dependencies so that your tests fail fast and do not waste time.
Write tests following project conventions:
Unit Tests - Test individual functions in isolation
describe('normalizeTicket', () => {
it('should normalize a Pylon ticket to DevRev format', () => {
const pylonTicket: PylonIssue = {
id: 'ticket-123',
title: 'Test Ticket',
description: 'Test description',
status: 'open',
priority: 'high',
};
const result = normalizeTicket(pylonTicket);
expect(result.id).toBe('ticket-123');
expect(result.title).toBe('Test Ticket');
expect(result.status).toBe('open');
});
it('should handle missing optional fields', () => {
const pylonTicket: PylonIssue = {
id: 'ticket-456',
title: 'Minimal Ticket',
description: '',
status: 'new',
priority: 'low',
};
const result = normalizeTicket(pylonTicket);
expect(result.assignee).toBeUndefined();
expect(result.requesterId).toBeUndefined();
});
});
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.
- 5d ago First seen · 305 lines · 10 tokens per session scan A bb0330a1c46f
tester is an agent published in the GitHub repository mgmonteleone/pylon-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 10 tokens to every session and 1,782 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It comes from a forked repository.
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