cord: Skill for Claude Code

.agent/skills/bmad-tea/SKILL.md

bmad-tea is a skill for Claude Code, Codex from flanliulf/cord. It costs 28 tokens per session (1,036 once invoked), scanned A, a copy of bmad-agent-analyst, MIT.

A testing advisor persona named Murat for planning and reviewing software quality. It covers test strategy, test data, API and browser testing, delivery-pipeline rules, and quality gates.

In plain words
What is it for?
Planning tests, designing test fixtures, automating API or user-interface checks, and setting CI/CD quality policies.
Why use it?
It helps developers choose testing work based on risk and value and treat unreliable tests as technical debt.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is flanliulf/cord's own configuration. It tells Claude Code and Codex how to work on cord itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything cord configures →

Reuse

Borrowing it

Nothing to install: this file belongs to flanliulf/cord. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/flanliulf/cord/main/.agent/skills/bmad-tea/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/flanliulf/cord

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.

agentmods badge for bmad-tea

README.md
[![agentmods](https://agentmods.dev/badge/skills/flanliulf/cord/bmad-tea/github.svg)](https://agentmods.dev/skills/flanliulf/cord/bmad-tea)
Your own site
<a href="https://agentmods.dev/skills/flanliulf/cord/bmad-tea"><img src="https://agentmods.dev/badge/skills/flanliulf/cord/bmad-tea/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.

agentmods 80×15 button for bmad-tea

Your own site · 80×15
<a href="https://agentmods.dev/skills/flanliulf/cord/bmad-tea"><img src="https://agentmods.dev/badge/skills/flanliulf/cord/bmad-tea.svg" alt="Reviewed on agentmods" width="80" 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.

ModelPer sessionOnce 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 9d 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 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.

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.

.agent/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:

  1. {skill-root}/customize.toml — defaults
  2. {project-root}/_bmad/custom/{skill-name}.toml — team overrides
  3. {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.

  1. 9d 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 flanliulf/cord (6 stars, last pushed 3mo 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.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

neuron-evaluation-engineer

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…

neuron-core/neuron-ai · 77 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens

skill-benchmark

Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.

HoangNguyen0403/agent-skills-standard · 16 tokens