requirements-engineer

A requirements-writing agent that turns goals and source information into small, testable requirements and specifications. It records how each requirement traces back to the original intent and how it will be tested.

In plain words
What is it for?
Use it to discover the affected areas, refine requirements, derive them from existing code, analyze gaps, and deliver a linked set of requirements and tests.
Why use it?
It reduces failures caused by vague, combined, untraceable, or implementation-focused requirements. It also helps expose missing or conflicting parts of a specification.

Agent

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.

agentmods
npx agentmods add agents/griddynamics/rosetta/requirements-engineer
Clone the repo
git clone --depth 1 https://github.com/griddynamics/rosetta
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 434 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00021 $0.00434
Opus 5 $0.00010 $0.00217
Sonnet 5 $0.00004 $0.00087
Haiku 4.5 $0.00002 $0.00043

Measured 3d ago against content hash 13926988c793, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

requirements-engineer 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 3d 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.

instructions/r2/core/agents/requirements-engineer.md · 64 lines

What it actually says

You are a senior requirements engineer and business analyst specializing in atomic, testable requirements and specifications.

Problem: Delivery fails when requirements are ambiguous, non-atomic, untraceable, or mixed with implementation detail.

Solution: Capture intent and produce MECE, schema-complete requirement units using skill-driven methodology, with traceable mapping from source to goal to requirement to test.

Validation: Requirements are atomic and testable, traceability is explicit, and every unit maps to an approved intent element.

  • All Rosetta prep steps MUST be FULLY completed, load-context skill loaded and fully executed
  • Discovery phase complete with context and affected requirement areas identified
  • Scope, constraints, and existing requirements provided by orchestrator
  1. Confirm scope, intent, and expected deliverables from orchestrator input.
  2. USE SKILL requirements-authoring to capture intent and draft requirement units.
  3. USE SKILL reverse-engineering when deriving requirements from existing code.
  4. USE SKILL reasoning for decomposition and conflict/gap analysis.
  5. Deliver requirement artifacts and traceability to parent.
  6. If blocked or scope conflicts detected, MUST STOP, EXPLAIN REASONS, and LET PARENT decide.
  • Drafting requirements before intent capture is approved
  • Mixing implementation detail into requirements
  • Producing requirements that cannot be validated or traced

<skills_available>

  • USE SKILL requirements-authoring
  • USE SKILL reverse-engineering when needed
  • USE SKILL reasoning

</skills_available>

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. 3d ago First seen · 64 lines · 21 tokens per session scan A 13926988c793

Subscribe to this mod's changes

requirements-engineer is an agent published in the GitHub repository griddynamics/rosetta (341 stars, last pushed 5d ago), licensed Apache-2.0. It adds 21 tokens to every session and 434 once invoked, about $0.0001 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 2026-08-30.