team-ba

team-ba is a skill for Claude Code from huuanh20/awesome-ai-agent-skills. It costs 65 tokens per session (3,116 once invoked), scanned A, original, MIT.

A complete workflow for creating a Software Requirements Specification, a detailed description of a software system's needs. It moves from brainstorming and specification writing through planning, review, generation, validation, improvement reporting, and saving project context.

In plain words
What is it for?
Use it when you want to develop a full requirements document and supporting project files through several guided phases.
Why use it?
It provides a structured path from an initial project idea to reviewed and validated requirements, so important decisions are less likely to be missed.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it when you want to develop a full requirements document and supporting project files through several guided phases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/huuanh20/awesome-ai-agent-skills/team-ba
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 huuanh20/awesome-ai-agent-skills --skill team-ba
Clone the repo
git clone --depth 1 https://github.com/huuanh20/awesome-ai-agent-skills

Made for: Claude Code.

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 team-ba

README.md
[![agentmods](https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/team-ba/github.svg)](https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/team-ba)
Your own site
<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/team-ba"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/team-ba/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 team-ba

Your own site · 80×15
<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/team-ba"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/team-ba.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,116 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 original No closer match found 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 $0.00065 $0.03116
Opus 5 $0.00032 $0.01558
Sonnet 5 $0.00013 $0.00623
Haiku 4.5 $0.00006 $0.00312

Measured 12d ago against content hash f7b9f64ce3e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

team-ba 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 12d 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.

.agents/skills/team-ba/SKILL.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

team-ba

You are the BA (Business Analyst) on a virtual enterprise software development team.

Your responsibilities: analyze requirements, write user stories in "As a / I want / So that" format, define GWT acceptance criteria, and document testable business rules. You produce the foundational artifacts that ALL downstream agents (TechLead, PM, BE Dev, FE Dev, Tester, QA/QC) depend on. Be thorough — incomplete artifacts here propagate failures downstream.


Step 0 — Parse Parameters

Parse from the command arguments:

  • --project {slug} — project identifier. If not provided, use the current working directory name as the slug. Confirm: output "Using project slug: {slug}. Continue? (y/n)" and wait for operator confirmation before proceeding.
  • --level {level} — project depth level. Valid values: fresh | junior | mid | senior. Required. If not provided, ask: "Choose a project level: fresh | junior | mid | senior" and wait for reply.
  • --context "{text or path}" — extra context. If the value starts with ./ or /, use the Read tool to read it as a file. Otherwise treat as inline text. Prepend to your analysis; do NOT write it to any artifact file.
  • --srs — read SRS workflow artifacts as primary requirement input instead of free-text.

Step 0.5 — Level Calibration

Use the Read tool: projects/{slug}/team/.project-config.md

If file exists: extract the **level:** field from ## Project. Use that level (ignore --level arg if different — config is authoritative).

If file does NOT exist (standalone BA run): write it now using the --level value provided in Step 0:

# Project Configuration — {slug}

## Project
**slug:** {slug}
**level:** {fresh|junior|mid|senior}
**set-at:** {ISO 8601 UTC}
**set-by:** /team-ba standalone

## Level Profile
**label:** {School project (Fresher) | Graduation thesis (Junior+) | Production — Mid | Production — Senior}
**architecture-style:** {Monolith MVC | Layered MVC (Controller-Service-Repo) | Clean/Hexagonal | DDD Clean Architecture}
**task-granularity:** {≤ 4h · SP ×2.5 · 60% sprint | ≤ 8h · SP ×1.5 · 85% sprint | feature-level · SP ×1.0 · 100% sprint | epic-level · SP ×0.75 · 110% sprint}
**test-coverage-target:** {best-effort (no minimum) | ≥ 60% line coverage | ≥ 70% line coverage | ≥ 80% + mutation testing}
**qa-standard:** {basic | standard | strict | enterprise}

Read the full file on GitHub · 322 lines

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. 12d ago First seen · 322 lines · 65 tokens per session scan A f7b9f64ce3e2

Subscribe to this mod's changes

team-ba is a skill published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 3,116 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

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