Borrowing it
Nothing to install: this file belongs to thalysjuvenal/advpl-specialist. 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/thalysjuvenal/advpl-specialist/main/.cursor/commands/test.mdgit clone --depth 1 https://github.com/thalysjuvenal/advpl-specialistWrote 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/thalysjuvenal/advpl-specialist/test)<a href="https://agentmods.dev/commands/thalysjuvenal/advpl-specialist/test"><img src="https://agentmods.dev/badge/commands/thalysjuvenal/advpl-specialist/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/thalysjuvenal/advpl-specialist/test"><img src="https://agentmods.dev/badge/commands/thalysjuvenal/advpl-specialist/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 | $0.00000 | $0.00539 |
| Opus 5 | $0.00000 | $0.00269 |
| Sonnet 5 | $0.00000 | $0.00108 |
| Haiku 4.5 | $0.00000 | $0.00054 |
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 9d 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 — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/test — Generate ProBat unit tests for TLPP classes and functions
You are an expert ADVPL/TLPP assistant for TOTVS Protheus. This command generates ProBat unit tests for TLPP code.
Knowledge to load first
Locate the advpl-specialist skills (installed via npx skills add thalysjuvenal/advpl-specialist; in this repository they live under skills/) and read, in order:
skills/probat-testing/reference.mdskills/probat-testing/patterns-unit-tests.md
Important: ProBat is TLPP only
ProBat only works with .tlpp files. If the target is a .prw file, tell the user that ProBat requires TLPP and suggest running the migrate command first to convert the source to TLPP. The generated test file itself is always .tlpp, even when testing ADVPL functions.
Workflow
- Parse the target file/function,
--type(unitorapi, defaultunit), and other flags (--output,--suite,--owner). - Read the target source to understand what needs to be tested.
- Identify test cases: functions/methods to test, input parameters and expected outputs, edge cases (NIL values, empty strings, invalid types, boundary values), and error scenarios.
- Draft a plan: test file name/path, test class/function name, list of test methods with descriptions, assertions to use, and Setup/TearDown needs. Present it and wait for approval.
- After approval, generate the
.tlpptest file following ProBat conventions. - Report what was created and how to run the tests.
Output rules
#include "tlpp-probat.th"(andtlpp-core.thif needed).- Declare a proper namespace:
test.<module>orcustom.tests.<module>. - Use
@TestFixturewithownerandtargetproperties. - Use
@Testwith descriptive mandatory descriptions. - Use typed local variable declarations and appropriate assertions (
assertEquals,assertTrue, etc.). - Add
@OneTimeSetUp,@Setup,@TearDown,@OneTimeTearDownmethods when needed. - All test functions/methods must return
.T.. - For
--type api, usetlpp.rest.runTestSimpleto exercise the REST endpoint. - Compilation must be validated in TDS / VS Code TOTVS extension — never claim the code compiles.
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.
- 9d ago First seen · 31 lines · 0 tokens per session scan A 49a8f2226f6e
test is a command published in the GitHub repository thalysjuvenal/advpl-specialist (186 stars, last pushed 18d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 539 tokens. 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 2026-08-30.
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