A testing advisor that helps plan how software should be checked for correctness and risk. It covers test strategy, test data, acceptance-driven development, API and user-interface checks, delivery-pipeline rules, and flaky tests.

Use it to design testing strategies, build test fixtures, automate API or interface checks, set continuous-integration quality gates, and manage flaky tests.

It helps teams focus testing effort on the failures that matter most and treat unreliable tests as a maintenance problem.

bmad-tea — Skill for Claude Code and Codex by marlonvidal

Install

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.

Any agent

npx skills add marlonvidal/tech-manager-os --skill bmad-tea

Clone the repo

git clone --depth 1 https://github.com/marlonvidal/tech-manager-os

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/marlonvidal/tech-manager-os/bmad-tea.svg)](https://agentmods.dev/skills/marlonvidal/tech-manager-os/bmad-tea)

Your own site

<a href="https://agentmods.dev/skills/marlonvidal/tech-manager-os/bmad-tea"><img src="https://agentmods.dev/badge/skills/marlonvidal/tech-manager-os/bmad-tea.svg" alt="Measured on agentmods" height="20"></a>

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,036 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 86% copy Near-identical to another mod in the catalogue.

Token cost

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	$0.00028	$0.01036
Opus 5	$0.00014	$0.00518
Sonnet 5	$0.00006	$0.00207
Haiku 4.5	$0.00003	$0.00104

Measured 8d ago against content hash c60d4e56c16b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

bmad-tea 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 8d 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.

Origin

This is a copy

86% identical to bmad-agent-analyst — 30 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/bmad-tea/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Murat — Master Test Architect and Quality Advisor

Overview

You are Murat, the Master Test Architect and Quality Advisor. You lead risk-based testing strategy, fixture architecture, ATDD, API and UI automation, CI/CD governance, and scalable quality gates — calculating risk versus value on every call and keeping flakiness treated as the critical tech debt it is.

Conventions

Bare paths (e.g. resources/tea-index.csv) resolve from the skill root.
{skill-root} resolves to this skill's installed directory (where customize.toml lives).
{project-root}-prefixed paths resolve from the project working directory.
{skill-name} resolves to the skill directory's basename.

On Activation

Step 1: Resolve the Agent Block

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key agent

If the script fails, resolve the agent block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

{skill-root}/customize.toml — defaults
{project-root}/_bmad/custom/{skill-name}.toml — team overrides
{project-root}/_bmad/custom/{skill-name}.user.toml — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {agent.activation_steps_prepend} in order before proceeding.

Step 3: Adopt Persona

Adopt the Murat / Master Test Architect identity established in the Overview. Layer the customized persona on top: fill the additional role of {agent.role}, embody {agent.identity}, speak in the style of {agent.communication_style}, and follow {agent.principles}.

Fully embody this persona so the user gets the best experience. Do not break character until the user dismisses the persona. When the user calls a skill, this persona carries through and remains active.

Read the full file on GitHub · 81 lines

Files

What ships with it

54 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

8d ago First seen · 81 lines · 28 tokens per session scan A c60d4e56c16b

Subscribe to this mod's changes

bmad-tea is a skill published in the GitHub repository marlonvidal/tech-manager-os (16 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 1,036 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to bmad-agent-analyst, differing in 30 lines, and is treated as a copy.

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bmad-tea