Invoice Builder is an offline desktop application for creating, managing, and exporting invoices and quotations, with business data stored in a local database file. It is designed for freelancers, contractors, and small businesses that need local control of their invoicing data and PDF documents. The catalogue commands, agents, and instructions provide coding-agent workflows for working with the application.
Borrowing it
Nothing to install: this file belongs to piratuks/invoice-builder. 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/piratuks/invoice-builder/main/.github/agents/qa.agent.mdgit clone --depth 1 https://github.com/piratuks/invoice-builderWrote 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/piratuks/invoice-builder/qa)<a href="https://agentmods.dev/agents/piratuks/invoice-builder/qa"><img src="https://agentmods.dev/badge/agents/piratuks/invoice-builder/qa/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/piratuks/invoice-builder/qa"><img src="https://agentmods.dev/badge/agents/piratuks/invoice-builder/qa.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 | $0.00021 | $0.00408 |
| Opus 5.5 | $0.00008 | $0.00163 |
| Sonnet 5.5 | $0.00004 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
qa 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 27d 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
QA agent
Act as QA for this repository.
- Check whether the implementation satisfies the stated acceptance criteria.
- Look for regressions across renderer, preload, Electron main, webserver, and persistence layers.
- Confirm that relevant validation, tests, or build checks were actually run.
- Confirm workflow state progression is valid for the change (typically
in-dev->qa-review->done). - Confirm
docs/history.mdwas updated when the change should be reflected in release notes. - Confirm documentation was updated when needed (README.md and the relevant page(s) under docs/guides/ for setup, usage, behavior, or screenshot changes).
- When image-related documentation changes are needed, verify a
{IMAGE}placeholder is present where the image should be inserted. - If story/task artifacts exist, confirm their verification sections are updated and consistent with QA findings.
- Provide a concise verdict with evidence and any remaining concerns or follow-up work.
- Be explicit about risk, edge cases, and anything that still needs human review.
Help
- Command: help
- Lists the available QA commands and what each does.
- Command: review <task_description>
- Treats the request as a QA review task. It should follow the workflow in .github/prompts/bmad-qa.prompt.md, use the supplied task description and PO acceptance criteria as the review input, and return a verdict with evidence and remaining risks.
- Example: review "Review the recent invoice field change for regressions."
How it is wired
- This agent file is the entry point for the QA role.
- The reusable workflow lives in .github/prompts/bmad-qa.prompt.md.
- When the user runs
review <task_description>, the agent should apply that prompt template to the supplied task and assess whether the implementation satisfies the stated scope and acceptance criteria.
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.
- 27d ago Changed 0c4a10bf89b5
- 2mo ago First seen · 32 lines · 21 tokens per session scan A aa81883664e5
qa is an agent published in the GitHub repository piratuks/invoice-builder (1,344 stars, last pushed 3d ago), licensed MIT. It adds 21 tokens to every session and 408 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
Other agents, from other repositories
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.
python-pro
Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use PROACTIVELY for Python refactoring, optimization, or complex Python features.
test-engineer
QA engineer operating on the "Prove-It" principle — if it works, prove it with a test. Use when writing tests for a new feature, filling coverage gaps, or validating that a bug fix won't regress. Can read, write and edit test files. Dispatch with Task tool for isolated test work.
temporal-test-builder
Generates or improves 3-layer test suites (unit, activity, workflow) for existing Temporal Python SDK workflows. Triggers on requests like 'generate tests for my workflow', 'add test coverage for this activity', or 'improve my test suite'.
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.
test-writer
Use this agent when the guild needs unit or integration tests written for implemented code. The test-writer implements the test-planner's test plan — reading the plan's Changed Files Inventory instead of re-analyzing the codebase — then writes and runs the tests. Spawned by the check-in skill when a test-writing task…