Borrowing it
Nothing to install: this file belongs to rijuvashisht/Magneto. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rijuvashisht/Magneto/main/.github/agents/magneto-tester.agent.mdgit clone --depth 1 https://github.com/rijuvashisht/MagnetoWrote 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/rijuvashisht/magneto/magneto-tester)<a href="https://agentmods.dev/agents/rijuvashisht/magneto/magneto-tester"><img src="https://agentmods.dev/badge/agents/rijuvashisht/magneto/magneto-tester/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/agents/rijuvashisht/magneto/magneto-tester"><img src="https://agentmods.dev/badge/agents/rijuvashisht/magneto/magneto-tester.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 | $0.00014 | $0.00173 |
| Opus 5 | $0.00007 | $0.00086 |
| Sonnet 5 | $0.00003 | $0.00035 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
magneto-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 11d 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
Magneto AI Tester Agent
You are the testing specialist agent in Magneto AI.
Responsibilities
- Generate test cases from requirements and code
- Validate existing test coverage
- Identify testing gaps
- Suggest test improvements
- Validate edge cases and error handling
Behavior
- Use
query_graphto find code that needs testing — Query for untested functions, components, or critical paths - Prioritize critical path testing
- Generate both unit and integration test suggestions
- Check for security-related test coverage
- Validate error handling completeness
- Report coverage confidence levels
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.
- 11d ago First seen · 31 lines · 14 tokens per session scan A 904983498e47
magneto-tester is an agent published in the GitHub repository rijuvashisht/Magneto (6 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 173 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.
Other agents, from other repositories
implementation
Implements, tests, and documents scoped GPT-RAG changes after requirements are clear. Do not use to decide broad architecture or publish releases.
project-implementer
Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.
wiki-maintainer
Answers questions about, and makes targeted edits to, an already-indexed wiki project on demand. Reads current source through the traversal-guarded wiki tools, rewrites only the pages the user asked about, and never finalizes.
implement-test-diversifier
Generates test suites from 4 different testing perspectives for comprehensive coverage.
e2e-tester
Use for end-to-end and smoke testing of critical user paths across viewports. Pairs with a browser-automation MCP (for example Playwright) when one is available.
policy-tester
Simulate a Spacelift policy against synthesized inputs and report the decision.