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.
git clone --depth 1 https://github.com/fatihkan/badiWrote 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/fatihkan/badi/qa)<a href="https://agentmods.dev/commands/fatihkan/badi/qa"><img src="https://agentmods.dev/badge/commands/fatihkan/badi/qa.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 | $0.00000 | $0.00460 |
| Opus 5 | $0.00000 | $0.00230 |
| Sonnet 5 | $0.00000 | $0.00092 |
| Haiku 4.5 | $0.00000 | $0.00046 |
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 today.
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 sign-off command. Verifies a change against acceptance criteria, runs the test suite, probes edge cases, and issues a ship / no-ship verdict via the qa-lead agent.
Required Tools
- Read (change, specs, acceptance criteria)
- Grep / Glob (locate affected tests and behavior)
- Bash (run the test suite, exercise the CLI/app)
- Agent (delegate to qa-lead)
When to Use
After implementation, before /ship. Run this to get an evidence-backed verdict on whether the change is safe to release. Complements /review (which reads the diff) by actually executing and judging behavior.
Procedure
Step 1: Establish Acceptance Criteria
- Derive checkable criteria from the spec,
/eng-reviewplan, or the user's intent. - If criteria are unclear, state the assumptions being verified.
Step 2: Delegate to QA Lead
Launch the qa-lead agent. Ask it to:
- Map the change to each acceptance criterion (PASS/FAIL).
- Run the project's full test suite and capture real pass/fail counts.
- Probe edge cases (empty, max, invalid, concurrent) and negative paths.
- Check for regressions in adjacent features.
- Smoke-test the primary user path.
Step 3: Collect Evidence
Ensure every PASS/FAIL cites the command run and its real output. A skipped check is reported as skipped; a flaky/failing test blocks SHIP.
Step 4: Issue the Verdict
- SHIP — all criteria pass, suite green, no regressions.
- SHIP WITH RISK — passes with a named, accepted risk.
- NO-SHIP — blocking issues; list exactly what must be fixed.
Step 5: Record
- Add the verdict and any blocking issues to the task board.
- On NO-SHIP, route defects back to the implementing agent.
Output Format
- Verdict (SHIP / SHIP WITH RISK / NO-SHIP)
- Acceptance Criteria (each PASS/FAIL + evidence)
- Test Run (pass/fail counts + quoted failures)
- Edge & Regression Findings
- Blocking Issues (if any)
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.
- today First seen · 44 lines · 0 tokens per session scan A 611a43d2424d
qa is a command published in the GitHub repository fatihkan/badi (7 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 460 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 2026-09-06.
Other commands, from other repositories
sonarqube
Analyze SonarCloud quality issues for a specific PR.
qa
Systematic QA testing of a web application — diff-aware, tiered, with fix-and-verify loop.
review-pr
Perform a comprehensive code review of a pull request.
autoresearch
Autonomous improvement loop — scan codebase metrics, scaffold experiment files, run agent-driven iterations until metric improves.
plan-eng-review
Engineering architecture gate — lock architecture, diagrams, edge cases, and test matrix before writing implementation code.
plan-execute
Execute a validated plan: worktree isolation, TDD scaffolding, level-based parallel agents, quality gate with smoke test, PR creation and merge. Handles everything through to merged PR.