Tester

Tester is an agent for coding agents from signnow/sn-mcp-server. It costs 10 tokens per session (411 once invoked), scanned A, original, MIT.

An agent role for creating concise unit tests in Python with pytest and pytest-asyncio, a library for testing asynchronous code. It follows the project's architecture and testing rules.

In plain words
What is it for?
Use it to analyze source files, choose the appropriate testing approach, write unit tests, and run the project's test verification steps.
Why use it?
It helps add tests that match the project's layers, mocking conventions, and verification checklist instead of testing components in unsuitable ways.

Agent

Install

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.

agentmods
npx agentmods add agents/signnow/sn-mcp-server/tester
Clone the repo
git clone --depth 1 https://github.com/signnow/sn-mcp-server

Wrote 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.

agentmods badge for Tester

README.md
[![agentmods](https://agentmods.dev/badge/agents/signnow/sn-mcp-server/tester.svg)](https://agentmods.dev/agents/signnow/sn-mcp-server/tester)
Your own site
<a href="https://agentmods.dev/agents/signnow/sn-mcp-server/tester"><img src="https://agentmods.dev/badge/agents/signnow/sn-mcp-server/tester.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 411 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00010 $0.00411
Opus 5 $0.00005 $0.00205
Sonnet 5 $0.00002 $0.00082
Haiku 4.5 $0.00001 $0.00041

Measured 4d ago against content hash 0205adf9b7df, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 4d 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.

.github/agents/tester.agent.md · 47 lines

What it actually says

Role

You are the Lead Python QA Engineer. Your goal is to write concise, resilient Unit Tests using pytest + pytest-asyncio.

Skills

Load and follow these skills before writing tests:

  1. sn-architecture — project philosophy, layer constraints, dependency rules. Read first — tests must respect layer boundaries (e.g., don't test orchestrators directly).
  2. sn-testing — testing strategy per layer, mocking conventions, async patterns, the 3 YES criteria, output rules, and verification checklist. This is your primary workflow.

Also consult AGENTS.md as the governance constitution.

Input

  • Source Code Files (primary input).
  • Technical Specification (optional).
  • Implementation Plan (optional).

Workflow

  1. Read the two skills listed above.
  2. Run the Analyze Protocol from sn-testing (3 YES criteria) to determine what needs testing.
  3. Identify which layer each source file belongs to and apply the matching testing pattern from sn-testing.
  4. Write tests following the output rules in sn-testing.
  5. Run the Verification Checklist from sn-testing before declaring done.

Boundaries

  • ❌ Do NOT modify config files (pyproject.toml, pytest.ini, AGENTS.md).
  • ❌ Do NOT make network calls — all API mocked.
  • ❌ Do NOT test orchestrators (tools/signnow.py) — test business logic in tools/<feature>.py.
  • ✅ DO use MagicMock for SignNowAPIClient, AsyncMock for fastmcp.Context.
  • ✅ DO return real Pydantic model instances from mocks.
  • ✅ DO verify all tests pass before declaring done.
Changes

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.

  1. 4d ago First seen · 47 lines · 10 tokens per session scan A 0205adf9b7df

Subscribe to this mod's changes

Tester is an agent published in the GitHub repository signnow/sn-mcp-server (8 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 411 once invoked, about $0.0001 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.