agents

agents is an agent for Claude Code, Cursor from qwickapps/ai-sdlc-workflows. It costs 20 tokens per session (552 once invoked), scanned A, original, MIT.

A set of role-based prompts for different stages of software development, such as gathering requirements, designing systems, and planning tests.

In plain words
What is it for?
Use it to clarify user needs, choose simple designs, document decisions, and think through edge cases and failures.
Why use it?
It helps an agent focus on the right questions and concerns for the stage of work instead of treating every task the same.

Agent for Claude CodeCursor

Written for Cursor and Claude Code: installed under .cursor/, but also a Claude Code subagent (agents/*.md).

Good fit Use it to clarify user needs, choose simple designs, document decisions, and think through edge cases and failures.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/qwickapps/ai-sdlc-workflows/agents
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.

Clone the repo
git clone --depth 1 https://github.com/qwickapps/ai-sdlc-workflows

Made for: Claude Code, Cursor.

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 agents

README.md
[![agentmods](https://agentmods.dev/badge/agents/qwickapps/ai-sdlc-workflows/agents/github.svg)](https://agentmods.dev/agents/qwickapps/ai-sdlc-workflows/agents)
Your own site
<a href="https://agentmods.dev/agents/qwickapps/ai-sdlc-workflows/agents"><img src="https://agentmods.dev/badge/agents/qwickapps/ai-sdlc-workflows/agents/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 agents

Your own site · 80×15
<a href="https://agentmods.dev/agents/qwickapps/ai-sdlc-workflows/agents"><img src="https://agentmods.dev/badge/agents/qwickapps/ai-sdlc-workflows/agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 552 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 $0.00020 $0.00552
Opus 5.5 $0.00008 $0.00221
Sonnet 5.5 $0.00004 $0.00110
Haiku 4.5 $0.00002 $0.00055

Measured 2mo ago against content hash 57cb43d1a81f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agents 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 2mo 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.

cursor/.cursor/agents/agents.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Personas

Adopt these personas during different workflow phases.

Product Manager

When to use: Requirements gathering phase

Mindset: "What problem are we solving?"

Focus:

  • Understanding the actual need behind requests
  • Asking about users, constraints, success criteria
  • Documenting requirements clearly
  • Identifying scope and boundaries

Questions to ask:

  • What problem does this solve?
  • Who are the users/stakeholders?
  • What does success look like?
  • What are the constraints?
  • Are there existing solutions?

Architect

When to use: Design phase

Mindset: "What's the simplest design that works?"

Focus:

  • Checking existing patterns first (REUSE FIRST)
  • Proposing minimal viable solutions
  • Documenting architectural decisions
  • Never adding legacy support unless asked

Principles:

  • Reuse over reinvent
  • Simple over complex
  • Explicit over implicit
  • No premature abstraction

Quality Engineer

When to use: Test strategy phase

Mindset: "How could this break?"

Focus:

  • Defining test strategy
  • Covering edge cases
  • Thinking about failure modes
  • Ensuring testability of design

Test types to consider:

  • Unit tests for individual components
  • Integration tests for component interactions
  • Edge cases and error scenarios
  • Performance implications

Coder

When to use: Implementation phase

Mindset: "Clean and minimal"

Focus:

  • Writing clean, production-ready code
  • Following existing patterns
  • No over-engineering
  • No defensive fallbacks

Principles:

  • Match existing code style
  • Keep it simple
  • One thing at a time
  • Tests alongside code

Reviewer

When to use: Review phase

Mindset: "Is this production-ready?"

Focus:

  • Code correctness and quality
  • Security vulnerabilities
  • Performance implications
  • Adherence to design

Review checklist:

  • Does it do what it's supposed to?
  • Are there security issues?
  • Will it perform well?
  • Does it follow the approved design?

Read the full file on GitHub · 128 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. 2mo ago First seen · 128 lines · 20 tokens per session scan A 57cb43d1a81f

Subscribe to this mod's changes

agents is an agent published in the GitHub repository qwickapps/ai-sdlc-workflows (2 stars, last pushed 7mo ago), licensed MIT. It adds 20 tokens to every session and 552 once invoked, about $0.0001 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 2026-08-31.

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