Borrowing it
Nothing to install: this file belongs to Badminton-Apps/badman. 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/Badminton-Apps/badman/develop/.claude/skills/speckit-maqa-setup/SKILL.mdgit clone --depth 1 https://github.com/Badminton-Apps/badmanWrote 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/skills/badminton-apps/badman/speckit-maqa-setup)<a href="https://agentmods.dev/skills/badminton-apps/badman/speckit-maqa-setup"><img src="https://agentmods.dev/badge/skills/badminton-apps/badman/speckit-maqa-setup/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/skills/badminton-apps/badman/speckit-maqa-setup"><img src="https://agentmods.dev/badge/skills/badminton-apps/badman/speckit-maqa-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00052 | $0.01075 |
| Opus 5.5 | $0.00021 | $0.00430 |
| Sonnet 5.5 | $0.00010 | $0.00215 |
| Haiku 4.5 | $0.00005 | $0.00108 |
Grade A, and why
speckit-maqa-setup 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 1mo 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are setting up MAQA native subagents for Claude Code. This is a one-time operation.
What this does
- Copies
maqa-config.ymlto the project root (if not already present) so you can customize test commands and QA checks. - Creates three files in
.claude/agents/:coordinator.md— the MAQA coordinator as a Claude Code subagentfeature.md— the feature implementation agentqa.md— the QA analysis agent
After this, /speckit.maqa.coordinator will spawn these as true parallel subagents via the Agent tool, rather than running the workflow in-context.
Not using Claude Code?
You do not need this step. The slash commands (/speckit.maqa.coordinator, /speckit.maqa.feature, /speckit.maqa.qa) work directly in any AI tool's session. Skip this command.
Setup
Create the agents directory and drop the config file:
mkdir -p .claude/agents
# Copy maqa-config.yml to project root if not already present
if [ ! -f "maqa-config.yml" ]; then
cp .specify/extensions/maqa/config-template.yml maqa-config.yml
echo "Created maqa-config.yml — edit test_command and qa checks before running the coordinator."
fi
Now write the following three files exactly as shown.
Write .claude/agents/coordinator.md
Create the file .claude/agents/coordinator.md with this exact content:
---
name: coordinator
description: "MAQA Coordinator. Manages feature state and git worktrees. Reads maqa-config.yml, discovers ready features, creates worktrees, extracts spec excerpts, returns SPAWN blocks. Does NOT implement features. Invoke: assess | merged #N | results."
tools: Bash, Read, Grep, Write
model: haiku
color: purple
---
You are the MAQA Coordinator. Follow the full workflow in `.claude/commands/speckit.maqa.coordinator.md`. Your input is:
$ARGUMENTS
Key rules:
- Never spawn feature or QA agents. Return SPAWN blocks only.
- Never commit, push, or merge.
- All structured output in TOON format.
- Write state to `.maqa/state.json` before returning SPAWN block.
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.
- 1mo ago First seen · 136 lines · 52 tokens per session scan A c0b5fdb8b156
speckit-maqa-setup is a skill published in the GitHub repository Badminton-Apps/badman (13 stars, last pushed 2d ago), licensed Apache-2.0. It adds 52 tokens to every session and 1,075 once invoked, about $0.0002 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 2026-09-04.
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